Professor Robert Whelan

• Castellanos-Ryan N, Struve M, Whelan R, Banaschewski T, Barker GJ, Bokde AL, Bromberg U, Büchel C, Flor H, Fauth-Bühler M, Frouin V, Gallinat J, Gowland P, Heinz A, Lawrence C, Martinot JL, Nees F, Paus T, Pausova Z, Rietschel M, Robbins TW, Smolka MN, Schumann G, Garavan H, Conrod PJ; The IMAGEN Consortium, Neural and Cognitive Correlates of the Common and Specific Variance Across Externalizing Problems in Young Adolescence, American Journal of Psychiatry, 171, (12), 2014, p1310-1319Journal Article, 2014, DOI
• Nuno R Gonçalves, Robert Whelan, John J Foxe, Edmund C Lalor, Towards obtaining spatiotemporally precise responses to continuous sensory stimuli in humans: a general linear modeling approach to EEG. , NeuroImage, 97, (2014), 2014, p196 - 205Journal Article, 2014, URL
• White TP, Loth E, Rubia K, Krabbendam L, Whelan R, Banaschewski T, Barker GJ, Bokde AL, Büchel C, Conrod P, Fauth-Bühler M, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Lawrence C, Mann K, Paillère ML, Nees F, Paus T, Pausova Z, Rietschel M, Robbins T, Smolka MN, Shergill SS, Schumann G, Sex differences in COMT polymorphism effects on prefrontal inhibitory control in adolescence., Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 39, (11), 2014, p2560-9Journal Article, 2014, DOI , TARA - Full Text
• Ortuño-Sierra J, Fonseca-Pedrero E, Aritio-Solana R, Velasco AM, de Luis EC, Schumann G, Cattrell A, Flor H, Nees F, Banaschewski T, Bokde A, Whelan R, Buechel C, Bromberg U, Conrod P, Frouin V, Papadopoulos D, Gallinat J, Garavan H, Heinz A, Walter H, Struve M, Gowland P, Paus T, Poustka L, Martinot JL, Paillère-Martinot ML, Vetter NC, Smolka MN, Lawrence C, New evidence of factor structure and measurement invariance of the SDQ across five European nations., European child & adolescent psychiatry, 24, (12), 2015, p1523-1534Journal Article, 2015, DOI
• Cury C, Toro R, Cohen F, Fischer C, Mhaya A, Samper-González J, Hasboun D, Mangin JF, Banaschewski T, Bokde AL, Bromberg U, Buechel C, Cattrell A, Conrod P, Flor H, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Lemaitre H, Martinot JL, Nees F, Paillère Martinot ML, Orfanos DP, Paus T, Poustka L, Smolka MN, Walter H, Whelan R, Frouin V, Schumann G, Glaunès JA, Colliot O, Incomplete Hippocampal Inversion: A Comprehensive MRI Study of Over 2000 Subjects., Frontiers in neuroanatomy, 9, 2015, p160Journal Article, 2015, DOI , TARA - Full Text
• Vulser H, Lemaitre H, Artiges E, Miranda R, Penttilä J, Struve M, Fadai T, Kappel V, Grimmer Y, Goodman R, Stringaris A, Poustka L, Conrod P, Frouin V, Banaschewski T, Barker GJ, Bokde AL, Bromberg U, Büchel C, Flor H, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Lawrence C, Loth E, Mann K, Nees F, Paus T, Pausova Z, Rietschel M, Robbins TW, Smolka MN, Schumann G, Martinot JL, Paillère-Martinot ML, Subthreshold Depression and Regional Brain Volumes in Young Community Adolescents., Journal of the American Academy of Child and Adolescent Psychiatry, 54, (10), 2015, p832-40Journal Article, 2015, DOI
• Jollans L, Zhipeng C, Icke I, Greene C, Kelly C, Banaschewski T, Bokde AL, Bromberg U, Büchel C, Cattrell A, Conrod PJ, Desrivières S, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Artiges E, Nees F, Papadopoulos Orfanos D, Paus T, Smolka MN, Walter H, Schumann G, Whelan R, Ventral Striatum Connectivity During Reward Anticipation in Adolescent Smokers., Developmental neuropsychology, 41, (1-2), 2016, p6-21Journal Article, 2016, DOI
• Kiiski HS, Ní Riada S, Lalor EC, Gonçalves NR, Nolan H, Whelan R, Lonergan R, Kelly S, O'Brien MC, Kinsella K, Bramham J, Burke T, Ó Donnchadha S, Hutchinson M, Tubridy N, Reilly RB, Delayed P100-Like Latencies in Multiple Sclerosis: A Preliminary Investigation Using Visual Evoked Spread Spectrum Analysis., PloS one, 11, (1), 2016, pe0146084Journal Article, 2016, DOI , TARA - Full Text
• Bradley, D., Whelan, R., Walsh, R., O'Dwyer, J., Reilly, R., Hutchinson, S., Molloy, F., Hutchinson, M., Comparing endophenotypes in adult-onset primary torsion dystonia, Movement Disorders, 25, (1), 2010, p84-90Journal Article, 2010, DOI , URL
• Raffaelli B, Strache N, Parchetka C, Artiges E, Banaschewski T, Bokde A, Bromberg U, Buechel C, Cattrell A, Conrod P, Flor H, Frouin V, Garavan H, Heinrich A, Heinz A, Ittermann B, Jurk S, Lemaitre H, Martinot J.-L, Mennigen E, Martinot M.-L.P, Papadopoulos D, Paus T, Poustka L, Smolka M.N, Vetter N.C, Walter H, Whelan R, Schumann G, Gallinat J, Sex-related differences in frequency and perception of stressful life events during adolescence, Journal of Public Health (Germany), 24, (5), 2016, p365 - 374Journal Article, 2016, DOI , URL
• Lancaster T.M, Linden D.E, Tansey K.E, Banaschewski T, Bokde A.L.W, Bromberg U, BÃŒchel C, Cattrell A, Conrod P.J, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot J.-L, Martinot M.-L.P, Artiges E, Lemaitre H, Nees F, Orfanos D.P, Paus T, Poustka L, Smolka M.N, Vetter N.C, Jurk S, Mennigen E, Walter H, Whelan R, Schumann G, Polygenic risk of psychosis and ventral striatal activation during reward processing in healthy adolescents, JAMA Psychiatry, 73, (8), 2016, p852 - 861Journal Article, 2016, DOI , URL
• Ewald A, Becker S, Heinrich A, Banaschewski T, Poustka L, Bokde A, BÃ"chel C, Bromberg U, Cattrell A, Conrod P, DesriviÃ"res S, Frouin V, Papadopoulos-Orfanos D, Gallinat J, Garavan H, Heinz A, Walter H, Ittermann B, Gowland P, Paus T, Martinot J.-L, PaillÃ"re Martinot M.-L, Smolka M.N, Vetter N, Whelan R, Schumann G, Flor H, Nees F, The role of the cannabinoid receptor in adolescents' processing of facial expressions, European Journal of Neuroscience, 43, (1), 2016, p98 - 105Journal Article, 2016, DOI , URL
• Keith B Burt, Robert Whelan, Patricia J Conrod, Tobias Banaschewski, Gareth J Barker, Arun LW Bokde, Uli Bromberg, Christian Büchel, Mira Fauth‐Bühler, Herta Flor, André Galinowski, Juergen Gallinat, Penny Gowland, Andreas Heinz, Bernd Ittermann, Karl Mann, Frauke Nees, Dimitri Papadopoulos‐Orfanos, Tomas Paus, Zdenka Pausova, Luise Poustka, Marcella Rietschel, Trevor W Robbins, Michael N Smolka, Andreas Ströhle, Gunter Schumann, Hugh Garavan, Structural brain correlates of adolescent resilience, Journal of Child Psychology and Psychiatry, 57, (11), 2016, p1287 - 1296Journal Article, 2016, DOI , URL
• Spechler P.A, Orr C.A, Chaarani B, Kan K.-J, Mackey S, Morton A, Snowe M.P, Hudson K.E, Althoff R.R, Higgins S.T, Cattrell A, Flor H, Nees F, Banaschewski T, Bokde A.L.W, Whelan R, BÃŒchel C, Bromberg U, Conrod P, Frouin V, Papadopoulos D, Gallinat J, Heinz A, Walter H, Ittermann B, Gowland P, Paus T, Poustka L, Martinot J.-L, Artiges E, Smolka M.N, Schumann G, Garavan H, Cannabis use in early adolescence: Evidence of amygdala hypersensitivity to signals of threat, Developmental Cognitive Neuroscience, 16, 2015, p63 - 70Journal Article, 2015, DOI , URL , TARA - Full Text
• Mackey S, Chaarani B, Kan K.-J, Spechler P.A, Orr C, Banaschewski T, Barker G, Bokde A.L.W, Bromberg U, BÃ"chel C, Cattrell A, Conrod P.J, DesriviÃ"res S, Flor H, Frouin V, Gallinat J, Gowland P, Heinz A, Ittermann B, PaillÃ"re Martinot M.-L, Artiges E, Nees F, Papadopoulos-Orfanos D, Poustka L, Smolka M.N, Jurk S, Walter H, Whelan R, Schumann G, Althoff R.R, Garavan H, Brain Regions Related to Impulsivity Mediate the Effects of Early Adversity on Antisocial Behavior, Biological Psychiatry, 82, (4), 2017, p275 - 282Journal Article, 2017, DOI , URL , TARA - Full Text
• French L, Gray C, Leonard G, Perron M, Pike G.B, Richer L, Séguin J.R, Veillette S, Evans C.J, Artiges E, Banaschewski T, Bokde A.W.L, Bromberg U, Bruehl R, Buchel C, Cattrell A, Conrod P.J, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Lemaitre H, Martinot J.-L, Nees F, Orfanos D.P, Pangelinan M.M, Poustka L, Rietschel M, Smolka M.N, Walter H, Whelan R, Timpson N.J, Schumann G, Smith G.D, Pausova Z, Paus T, Early cannabis use, polygenic risk score for schizophrenia, and brain maturation in adolescence, JAMA Psychiatry, 72, (10), 2015, p1002 - 1011Journal Article, 2015, DOI , URL
• Briggs Zoe, O'Connor Martin, Jollans Emily K, O'Halloran Laura, Dymond Simon, Whelan Robert, Flexible emotion-based decision-making behavior varies in current and former smokers , Addictive behaviors , 45 , 2015, p269 - 275Journal Article, 2015, URL
• Nick Ortiz, Aisling Parsons, Robert Whelan, Katie Brennan, Maria LF Agan, Redmond O'Connell, Jessica Bramham, Hugh Garavan, Decreased frontal, striatal and cerebellar activation in adults with ADHD during an adaptive delay discounting task , Acta Neurobiol Exp , 75 , 2015, p326 - 338Journal Article, 2015, URL , TARA - Full Text
• Katharine Still, Richard J May, Ruth Anne Rehfeldt, Robert Whelan, Simon Dymond, Facilitating derived requesting skills with a touchscreen tablet computer for children with autism spectrum disorder , Research in Autism Spectrum Disorders , 19 , 2015, p44 - 58Journal Article, 2015, URL
• Argyris Stringaris, Pablo Vidal-Ribas Belil, Eric Artiges, Hervé Lemaitre, Fanny Gollier-Briant, Selina Wolke, Hélène Vulser, Ruben Miranda, Jani Penttilä, Maren Struve, Tahmine Fadai, Viola Kappel, Yvonne Grimmer, Robert Goodman, Luise Poustka, Patricia Conrod, Anna Cattrell, Tobias Banaschewski, Arun LW Bokde, Uli Bromberg, Christian Büchel, Herta Flor, Vincent Frouin, Juergen Gallinat, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Frauke Nees, Dimitri Papadopoulos, Tomas Paus, Michael N Smolka, Henrik Walter, Rob Whelan, Jean-Luc Martinot, Gunter Schumann, Marie-Laure Paillère-Martinot, The brain's response to reward anticipation and depression in adolescence: Dimensionality, specificity, and longitudinal predictions in a community-based sample , American Journal of Psychiatry , 172 , (12 ), 2015, p1215 - 1223Journal Article, 2015, URL
• Castellanos-Ryan N, Brière FN, O'Leary-Barrett M, Banaschewski T, Bokde A, Bromberg U, Büchel C, Flor H, Frouin V, Gallinat J, Garavan H, Martinot JL, Nees F, Paus T, Pausova Z, Rietschel M, Smolka MN, Robbins TW, Whelan R, Schumann G, Conrod P; IMAGEN Consortium, The structure of psychopathology in adolescence and its common personality and cognitive correlates, Journal of Abnormal Psychology, 125, (8), 2016, p1039 - 1052Journal Article, 2016, DOI
• Savani Bartholdy, Karina Allen, John Hodsoll, Owen G O'Daly, Iain C Campbell, Tobias Banaschewski, Arun LW Bokde, Uli Bromberg, Christian Büchel, Erin Burke Quinlan, Patricia J Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Jürgen Gallinat, Hugh Garavan, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomá Paus, Luise Poustka, Michael N Smolka, Eva Mennigen, Henrik Walter, Robert Whelan, Gunter Schumann, Ulrike Schmidt, Identifying disordered eating behaviours in adolescents: how do parent and adolescent reports differ by sex and age?, European Child & Adolescent Psychiatry, 2017, p691-701Journal Article, 2017, DOI , URL , TARA - Full Text
• Matthew D Albaugh, Catherine Orr, Bader Chaarani, Robert R Althoff, Nicholas Allgaier, Nicholas D'Alberto, Kelsey Hudson, Scott Mackey, Philip A Spechler, Tobias Banaschewski, Rüdiger Brühl, Arun LW Bokde, Uli Bromberg, Christian Büchel, Anna Cattrell, Patricia J Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Jürgen Gallinat, Robert Goodman, Penny Gowland, Yvonne Grimmer, Andreas Heinz, Viola Kappel, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Jani Penttilä, Luise Poustka, Tomá Paus, Michael N Smolka, Maren Struve, Henrik Walter, Robert Whelan, Gunter Schumann, Hugh Garavan, Alexandra S Potter, Inattention and Reaction time Variability are Linked to Ventromedial Prefrontal Volume in Adolescents, Biological Psychiatry, 82, (9), 2017, p660-668Journal Article, 2017, DOI , URL
• Claire M Gillan, Michal Kosinski, Robert Whelan, Elizabeth A Phelps, Nathaniel D Daw, Characterizing a psychiatric symptom dimension related to deficits in goal-directed control, Elife, 5, 2016, pe11305Journal Article, 2016, URL
• Sinead Walsh, Jennifer Horgan, Richard J May, Simon Dymond, Robert Whelan, Facilitating relational framing in children and individuals with developmental delay using the relational completion procedure, Journal of the experimental analysis of behavior, 101, (1), 2014, p51 - 60Journal Article, 2014, URL
• Katharine Still, Ruth Anne Rehfeldt, Robert Whelan, Richard May, Simon Dymond, Facilitating requesting skills using high-tech augmentative and alternative communication devices with individuals with autism spectrum disorders: A systematic review, Research in Autism Spectrum Disorders, 8, (9), 2014, p1184 - 1199Journal Article, 2014, URL
• Simon Dymond, Michael W Schlund, Bryan Roche, Robert Whelan, The spread of fear: Symbolic generalization mediates graded threat-avoidance in specific phobia, The Quarterly Journal of Experimental Psychology, 67, (2), 2014, p247 - 259Journal Article, 2014, URL
• Reframing relational frame theory research: Gaining a new perspective through the application of novel behavioral and neurophysiological methods in, editor(s)Simon Dymond, Bryan Roche , Advances in Relational Frame Theory: Research and Application, Oakland, CA, New Harbinger Publications, 2013, pp151 - 177, [Robert Whelan, Michael W Schlund]Book Chapter, 2013, URL
• H Garavan, KL Brennan, R Hester, R Whelan, The neurobiology of successful abstinence, Current opinion in neurobiology, 23, (4), 2013, p668 - 674Journal Article, 2013, URL
• Ting Wang, Louise A McHugh, Robert Whelan, A test of the discrimination account in equivalence class formation, Learning and motivation, 43, (1), 2012, p8 - 13Journal Article, 2012, URL
• Robert Whelan, Karen Weierstall, Hugh Garavan, The orbitofrontal cortex, drug use and impulsivity: can teenage rebellion be predicted through neural correlates?, Future Neurology, 7, (5), 2012, p507 - 509Journal Article, 2012, URL
• Robert Whelan, Hugh Garavan, When optimism hurts: inflated predictions in psychiatric neuroimaging, Biological psychiatry, 75, (9), 2014, p746 - 748Journal Article, 2014, URL
• A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI data in, Genetic Programming Theory and Practice XI, Springer New York, 2013, pp155 - 173, [Ilknur Icke, Nicholas A Allgaier, Christopher M Danforth, Robert A Whelan, Hugh P Garavan, Joshua C Bongard, IMAGEN Consortium]Book Chapter, 2013, URL
• Robert Whelan, Dermot Barnes-Holmes, Commentary on "coming to terms with motivation in the behavior-analytic literature" by Alo and Cancado, The Psychological Record, 63, (3), 2013, p655 - 660Journal Article, 2013, URL
• Simon Dymond, Tsz Ching Ng, Robert Whelan, Establishing arbitrarily applicable relations of same and opposite with the relational completion procedure: Selection-based feedback, The Psychological Record, 63, (1), 2013, p111 - 129Journal Article, 2013, URL
• Robert Whelan, Hugh Garavan, Fractionating the impulsivity construct in adolescence, Neuropsychopharmacology, 38, (1), 2013, p250 - 251Journal Article, 2013, URL
• Liv Kosnes, Robert Whelan, Aoife O'Donovan, Louise A McHugh, Implicit measurement of positive and negative future thinking as a predictor of depressive symptoms and hopelessness, Consciousness and cognition, 22, (3), 2013, p898 - 912Journal Article, 2013, URL
• R Whelan, P Conrod, JB Poline, T Banaschewski, G Barker, MA Bellgrove, C Büchel, M Byrne, T Cummins, M Fauth-Büehler, H Flor, J Gallinat, A Heinz, B Ittermann, A Lourdusamy, K Mann, JL Martinot, EC Lalor, M Lathrop, E Loth, T Paus, M Rietschel, MN Smolka, R Spanagel, D Stephens, M Struve, B Thyreau, S Vollstaedt-Klein, TW Robbins, G Schumann, H Garavan, IMAGEN consortium, A large-sample fMRI study (n= 1,252) of individual differences in inhibitory control, Hum. Brain Mapp. Quebec, 2011Journal Article, 2011, URL
• Ting Wang, Charlotte Dack, Louise McHugh, Robert Whelan, Preserved nodal number effects under equal reinforcement, Learning & behavior, 39, (3), 2011, p224 - 238Journal Article, 2011, URL
• R Whelan, D Barnes-Holmes, Consequence valuing as operation and process: a parsimonious analysis of motivation, The Psychological Record, 60, (2), 2010, p337 - 354Journal Article, 2010, URL
• Simon Dymond, Robert Whelan, Derived Relational Responding: A Comparison of Match-To-Sample and the Relational Completion Procedure, Journal of the experimental analysis of behavior, 94, (1), 2010, p37 - 55Journal Article, 2010, URL
• Robert Whelan, Louise A McHugh, Temporal discounting of hypothetical monetary rewards by adolescents, adults, and older adults, The Psychological Record, 59, (2), 2009, p247 - 258Journal Article, 2009, URL
• Simon Dymond, Bryan Roche, John P Forsyth, Robert Whelan, Julia Rhoden, Derived avoidance learning: Transformation of avoidance response functions in accordance with same and opposite relational frames, The Psychological Record, 58, (2), 2008, p269 - 286Journal Article, 2008, URL
• Robert Whelan, Effective analysis of reaction time data, The Psychological Record, 58, (3), 2008, p475 - 482Journal Article, 2008, URL
• Robert Whelan, Aversive control in humans: the role of verbal processes, Revista Mexicana de Análisis de la Conducta, 33, 2007, p67 - 75Journal Article, 2007, URL
• Louise McHugh, Yvonne Barnes-Holmes, Dermot Barnes-Holmes, Robert Whelan, Ian Stewart, Knowing me, knowing you: Deictic complexity in false-belief understanding, The Psychological Record, 57, (4), 2007, p533 - 542Journal Article, 2007, URL
• Simon Dymond, Bryan Roche, John P Forsyth, Robert Whelan, Julia Rhoden, Transformation of avoidance response functions in accordance with same and opposite relational frames, Journal of the Experimental Analysis of Behavior, 88, (2), 2007, p249 - 262Journal Article, 2007, URL
• Simon Dymond, Robert Whelan, Verbal relations and the behavior analysis of gambling, Analysis of Gambling Behavior, 1, 2007, p19 - 20Journal Article, 2007, URL
• Simon Dymond, Denis O Hora, Robert Whelan, Aoife O Donovan, Citation analysis of Skinner's Verbal Behavior: 1984-2004, Behavior Analyst, 29, (1), 2006, p75 - 88Journal Article, 2006, URL
• Robert Whelan, Dermot Barnes‐Holmes, Simon Dymond, The transformation of consequential functions in accordance with the relational frames of more-than and less-than, Journal of the Experimental Analysis of Behavior, 86, (3), 2006, p317 - 335Journal Article, 2006, URL
• Simon Dymond, Robert Whelan, Paul M Smeets, A transformation of discriminative functions in accordance with equivalence relations, European Journal of Behavior Analysis, 6, (2), 2005, p111 - 123Journal Article, 2005, URL
• Robert Whelan, Derived same and opposite relations produce association and mediated priming, Revista Internacional de Psicología y Terapia Psicológica, 5, (3), 2005, p247 - 264Journal Article, 2005, URL
• Dermot Barnes‐Holmes, Carmel Staunton, Robert Whelan, Yvonne Barnes‐Holmes, Sean Commins, Derek Walsh, Ian Stewart, Paul M Smeets, Simon Dymond, Derived stimulus relations, semantic priming, and event-related potentials: Testing a behavioral theory of semantic networks, Journal of the Experimental Analysis of behavior, 84, (3), 2005, p417 - 433Journal Article, 2005, URL
• Dermot Barnes‐Holmes, Donal Regan, Yvonne Barnes‐Holmes, Sean Commins, Derek Walsh, Ian Stewart, Paul M Smeets, Robert Whelan, Simon Dymond, Relating Derived Relations as a Model of Analogical Reasoning: Reaction Times and Event-Related Potentials, Journal of the Experimental Analysis of Behavior, 84, (3), 2005, p435 - 451Journal Article, 2005, URL
• D Barnes-Holmes, MR Valverde, R Whelan, Relational frame theory and the experimental analysis of language and cognition, Revista Latinoamericana de Psicologia, 37, (2), 2005, p255 - 275Journal Article, 2005
• Thomas Reilly, Robert Whelan, Dermot Barnes-Holmes, The effect of training structure on the latency of responses to a five-term linear chain, The Psychological Record, 55, (2), 2005, p233 - 249Journal Article, 2005, URL
• Lee Jollans, Robert Whelan, Louise Venables, Oliver H. Turnbull, Matteo Cella, Simon Dymond, Computational EEG Modelling of Decision Making Under Ambiguity Reveals Spatio-Temporal Dynamics of Outcome Evaluation, Behavioural Brain Research, 321, 2016, p28 - 35Journal Article, 2016, URL
• N Mikita, E Simonoff, DS Pine, R Goodman, E Artiges, T Banaschewski, AL Bokde, U Bromberg, C Büchel, A Cattrell, PJ Conrod, S Desrivières, H Flor, V Frouin, J Gallinat, H Garavan, A Heinz, B Ittermann, S Jurk, JL Martinot, ML Paillère Martinot, F Nees, D Papadopoulos Orfanos, T Paus, L Poustka, MN Smolka, H Walter, R Whelan, G Schumann, A Stringaris, Disentangling the autism- anxiety overlap: fMRI of reward processing in a community-based longitudinal study, Translational psychiatry, 6, 2016, pe845Journal Article, 2016, DOI , URL
• Tulio Guadalupe, Samuel R Mathias, GM Theo, Christopher D Whelan, Marcel P Zwiers, Yoshinari Abe, Lucija Abramovic, Ingrid Agartz, Ole A Andreassen, Alejandro Arias-Vásquez, Benjamin S Aribisala, Nicola J Armstrong, Volker Arolt, Eric Artiges, Rosa Ayesa-Arriola, Vatche G Baboyan, Tobias Banaschewski, Gareth Barker, Mark E Bastin, Bernhard T Baune, John Blangero, Arun LW Bokde, Premika SW Boedhoe, Anushree Bose, Silvia Brem, Henry Brodaty, Uli Bromberg, Samantha Brooks, Christian Büchel, Jan Buitelaar, Vince D Calhoun, Dara M Cannon, Anna Cattrell, Yuqi Cheng, Patricia J Conrod, Annette Conzelmann, Aiden Corvin, Benedicto Crespo-Facorro, Fabrice Crivello, Udo Dannlowski, Greig I De Zubicaray, Sonja MC De Zwarte, Ian J Deary, Sylvane Desrivières, Nhat Trung Doan, Gary Donohoe, Erlend S Dørum, Stefan Ehrlich, Thomas Espeseth, Guillén Fernández, Herta Flor, Jean-Paul Fouche, Vincent Frouin, Masaki Fukunaga, Jürgen Gallinat, Hugh Garavan, Michael Gill, Andrea Gonzalez Suarez, Penny Gowland, Hans J Grabe, Dominik Grotegerd, Oliver Gruber, Saskia Hagenaars, Ryota Hashimoto, Tobias U Hauser, Andreas Heinz, Derrek P Hibar, Pieter J Hoekstra, Martine Hoogman, Fleur M Howells, Hao Hu, Hilleke E Hulshoff Pol, Chaim Huyser, Bernd Ittermann, Neda Jahanshad, Erik G Jönsson, Sarah Jurk, Rene S Kahn, Sinead Kelly, Bernd Kraemer, Harald Kugel, Jun Soo Kwon, Herve Lemaitre, Klaus-Peter Lesch, Christine Lochner, Michelle Luciano, Andre F Marquand, Nicholas G Martin, Ignacio Martínez-Zalacaín, Jean-Luc Martinot, David Mataix-Cols, Karen Mather, Colm Mcdonald, Katie L Mcmahon, Sarah E Medland, José M Menchón, Derek W Morris, Omar Mothersill, Susana Munoz Maniega, Benson Mwangi, Takashi Nakamae, Tomohiro Nakao, Janardhanan C Narayanaswaamy, Frauke Nees, Jan E Nordvik, A Marten H Onnink, Nils Opel, Roel Ophoff, Marie-Laure Paillère Martinot, Dimitri Papadopoulos Orfanos, Paul Pauli, Tomá Paus, Luise Poustka, Janardhan Yc Reddy, Miguel E Renteria, Roberto Roiz-Santiáñez, Annerine Roos, Natalie A Royle, Perminder Sachdev, Pascual Sánchez-Juan, Lianne Schmaal, Gunter Schumann, Elena Shumskaya, Michael N Smolka, Jair C Soares, Carles Soriano-Mas, Dan J Stein, Lachlan T Strike, Roberto Toro, Jessica A Turner, Nathalie Tzourio-Mazoyer, Anne Uhlmann, Maria Valdés Hernández, Odile A Van den Heuvel, Dennis Van Der Meer, Neeltje EM Van Haren, Dick J Veltman, Ganesan Venkatasubramanian, Nora C Vetter, Daniella Vuletic, Susanne Walitza, Henrik Walter, Esther Walton, Zhen Wang, Joanna Wardlaw, Wei Wen, Lars T Westlye, Robert Whelan, Katharina Wittfeld, Thomas Wolfers, Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex, Brain imaging and behavior, 2016, p1 - 18Journal Article, 2016, DOI , URL , TARA - Full Text
• Caroline Parchetka, Nicole Strache, Bianca Raffaelli, Isabel Gemmeke, Katharina Weiß, Eric Artiges, Tobias Banaschewski, Arun Bokde, Uli Bromberg, Christian Buechel, Patricia Conrod, Sylvane Desrivières, Herta Flor, Vincent Frouin, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Herve Lemaitre, Jean-Luc Martinot, Eva Mennigen, Frauke Nees, Marie-Laure Paillère Martinot, Dimitri Papadopoulos, Tomá Paus, Luise Poustka, Sarah Jurk, Michael N Smolka, Nora C Vetter, Henrik Walter, Robert Whelan, Gunter Schumann, Juergen Gallinat, IMAGEN consortium, Predictive utility of the NEO-FFI for later substance experiences among 16-year-old adolescents, Journal of Public Health, 24, (6), 2016, p489 - 495Journal Article, 2016, URL
• Lee Jollans, Robert Whelan, The clinical added value of imaging: A perspective from outcome prediction, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 1, (5), 2016, p423 - 432Journal Article, 2016, URL
• Nigel Vahey, Robert Whelan, The functional-cognitive framework as a tool for accelerating progress in cognitive neuroscience: On the benefits of bridging rather than reducing levels of analyses, International Journal of Psychology, 51, (1), 2016, p45 - 49Journal Article, 2016, URL
• Dermot Barnes-Holmes, Carmel Staunton, Yvonne Barnes-Holmes, Robert Whelan, Ian Stewart, Sean Commins, Derek Walsh, Paul M. Smeets, Simon Dymond, Interfacing relational frame theory with cognitive neuroscience: Semantic priming, the implicit association test, and event related potentials, Revista Internacional de Psicología y Terapia Psicológica, 4, (2), 2004, p215 - 240Journal Article, 2004, URL
• Robert Whelan, Dermot Barnes‐Holmes, The transformation of consequential functions in accordance with the relational frames of same and opposite, Journal of the Experimental Analysis of Behavior, 82, (2), 2004, p177 - 195Journal Article, 2004, URL
• Robert Whelan, Empirical models of formative augmenting in accordance with the relations of same, opposite, more-than and less-than, Revista Internacional de Psicología y Terapia Psicológica, 4, (2), 2004, p285 - 302Journal Article, 2004, URL
• Laura O'Halloran, Charlotte Nymberg, Lee Jollans, Hugh Garavan, Robert Whelan, The potential of neuroimaging for identifying predictors of adolescent alcohol use initiation and misuse, Addiction, 2016Journal Article, 2016, URL
• Frauke Nees, Susanne Becker, Sabina Millenet, Tobias Banaschewski, Luise Poustka, Arun Bokde, Uli Bromberg, Christian Büchel, Patricia J Conrod, Sylvane Desrivières, Vincent Frouin, Jürgen Gallinat, Hugh Garavan, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Dimitri Papadopoulos Orfanos, Tomá Paus, Michael N Smolka, Henrik Walter, Rob Whelan, Gunter Schumann, Herta Flor, IMAGEN consortium, Brain substrates of reward processing and the μ-opioid receptor: a pathway into pain?, Pain, 158, (2), 2017, p212 - 219Journal Article, 2017, DOI , URL
• Dymond, S., & Whelan, R. (2010). , DERIVED RELATIONAL RESPONDING: A COMPARISON OF MATCH-TO-SAMPLE AND THE RELATIONAL COMPLETION PROCEDURE, Journal of the experimental analysis of behavior, 2010Journal Article, 2010
• Barnes"Holmes, D., Regan, D., Barnes"Holmes, Y., Commins, S., Walsh, D., Stewart, I., ... & Dymond, S. (2005), RELATING DERIVED RELATIONS AS A MODEL OF ANALOGICAL REASONING: REACTION TIMES AND EVENT-RELATED POTENTIALS, Journal of the Experimental Analysis of Behavior, 2005Journal Article, 2005
• Bourque J, Spechler PA, Potvin S, Whelan R, Banaschewski T, Bokde AL, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Gowland P, Heinz A, Ittermann B, Martinot JL, Paillère-Martinot ML, McEwen SC, Nees F, Orfanos DP, Paus T, Poustka L, Smolka MN, Vetter NC, Walter H, Schumann G, Garavan H, Conrod PJ; IMAGEN Consortium, Functional Neuroimaging Predictors of Self-Reported Psychotic Symptoms in Adolescents., American Journal of Psychiatry, 174, (6), 2017, p566-575Journal Article, 2017, DOI
• Deng W, Rolls ET, Ji X, Robbins TW, Banaschewski T, Bokde ALW, Bromberg U, Buechel C, Desrivières S, Conrod P, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Lemaitre H, Nees F, Papadopoulos Orfanos D, Poustka L, Smolka MN, Walter H, Whelan R, Schumann G, Feng J, Separate neural systems for behavioral change and for emotional responses to failure during behavioral inhibition., Human Brain Mapping, 38, (7), 2017, p3527-3537Journal Article, 2017, DOI
• Quinlan E.B, Cattrell A, Jia T, Artiges E, Banaschewski T, Barker G, Bokde A.L.W, Bromberg U, BÃŒchel C, BrÃŒhl R, Conrod P.J, Desrivieres S, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Martinot J.-L, Martinot M.-L.P, Nees F, Papadopoulos-Orfanos D, Paus T, Poustka L, Smolka M.N, Vetter N.C, Walter H, Whelan R, Glennon J.C, Buitelaar J.K, Happé F, Loth E, Barker E.D, Schumann G, Psychosocial stress and brain function in adolescent psychopathology, American Journal of Psychiatry, 174, (8), 2017, p785 - 794Journal Article, 2017, DOI , URL
• Xu B, Jia T, Macare C, Banaschewski T, Bokde A.L.W, Bromberg U, BÃŒchel C, Cattrell A, Conrod P.J, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot J.-L, PaillÚre Martinot M.-L, Nees F, Orfanos D.P, Paus T, Poustka L, Smolka M.N, Walter H, Whelan R, Schumann G, DesriviÚres S, Banaschewski T, Barker G, Bokde A.L.W, Bromberg U, BÃŒchel C, Quinlan E.B, DesriviÚres S, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot J.-L, PaillÚre Martinot M.-L, Artiges E, Lemaitre H, Nees F, Orfanos D.P, Paus T, Poustka L, Smolka M.N, Vetter N.C, Jurk S, Mennigen E, Walter H, Whelan R, Schumann G, Impact of a Common Genetic Variation Associated With Putamen Volume on Neural Mechanisms of Attention-Deficit/Hyperactivity Disorder, Journal of the American Academy of Child and Adolescent Psychiatry, 56, (5), 2017, p436 - 444.e4Journal Article, 2017, DOI , URL
• Ruggeri B, Macare C, Stopponi S, Jia T, Carvalho FM, Robert G, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Cattrell A, Conrod PJ, Desrivières S, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Nees F, Papadopoulos-Orfanos D, Paus T, Poustka L, Smolka MN, Vetter NC, Walter H, Whelan R, Sommer WH, Bakalkin G, Ciccocioppo R, Schumann G; IMAGEN consortium., Methylation of OPRL1 mediates the effect of psychosocial stress on binge drinking in adolescents., Journal of child psychology and psychiatry, and allied disciplines, 2017, p1-Journal Article, 2017, DOI , TARA - Full Text
• O'Halloran L, Cao Z, Ruddy K, Jollans L, Albaugh MD, Aleni A, Potter AS, Vahey N, Banaschewski T, Hohmann S, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Gowland P, Heinz A, Ittermann B, Nees F, Orfanos DP, Paus T, Smolka MN, Walter H, Schumann G, Garavan H, Kelly C, Whelan R., Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology., Neuroimage, 169, 2017, p395 - 406Journal Article, 2017, DOI , TARA - Full Text
• Sadaghiani S, Ng B, Altmann A, Poline JB, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Burke Quinlan E, Conrod P, Desrivières S, Flor H, Frouin V, Garavan H, Gowland P, Gallinat J, Heinz A, Ittermann B, Martinot JL, Paillère Martinot ML, Lemaitre H, Nees F, Papadopoulos Orfanos D, Paus T, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Napolioni V, Greicius M., Overdominant Effect of a CHRNA4 Polymorphism on Cingulo-Opercular Network Activity and Cognitive Control., Journal of Neuroscience, 37, (40), 2017, p9657 - 9666Journal Article, 2017, DOI
• Grogan, K. and Gormley, C.I. and Rooney, B. and Whelan, R. and Kiiski, H. and Naughton, M. and Bramham, J., Differential diagnosis and comorbidity of ADHD and anxiety in adults, British Journal of Clinical Psychology, 57, (1), 2018, p99-115Journal Article, 2018, DOI , URL
• Gillan, C.M. and Whelan, R., What big data can do for treatment in psychiatry, Current Opinion in Behavioral Sciences, 18, 2017, p34-42Journal Article, 2017, DOI , URL
• Vahey, N.A. and Bennett, M. and Whelan, R., Conceptual advances in the cognitive neuroscience of learning: Implications for relational frame theory, Journal of Contextual Behavioral Science, 6, (3), 2017, p308-313Journal Article, 2017, DOI
• O'Connor, M. and Munnelly, A. and Whelan, R. and McHugh, L., The Efficacy and Acceptability of Third-Wave Behavioral and Cognitive eHealth Treatments: A Systematic Review and Meta-Analysis of Randomized Controlled Trials, Behavior Therapy, 2017Journal Article, 2017, DOI , URL , TARA - Full Text
• Kiiski, H. and Jollans, L. and Donnchadha, S.Ã". and Nolan, H. and Lonergan, R. and Kelly, S. and O†Brien, M.C. and Kinsella, K. and Bramham, J. and Burke, T. and Hutchinson, M. and Tubridy, N. and Reilly, R.B. and Whelan, R., Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls, Brain Topography, 2018, 346-363Journal Article, 2018, DOI
• Brislin, S.J. and Patrick, C.J. and Flor, H. and Nees, F. and Heinrich, A. and Drislane, L.E. and Yancey, J.R. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃ"chel, C. and Quinlan, E.B. and DesriviÃ"res, S. and Frouin, V. and Garavan, H. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Martinot, M.-L.P. and Papadopoulos Orfanos, D. and Poustka, L. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Conrod, P. and Stringaris, A. and Struve, M. and van Noort, B. and Grimmer, Y. and Fadai, T. and Schumann, G. and Foell, J., Extending the Construct Network of Trait Disinhibition to the Neuroimaging Domain: Validation of a Bridging Scale for Use in the European IMAGEN Project, Assessment, 2019, 567-581Journal Article, 2019, DOI , URL , TARA - Full Text
• O'Halloran, L. and Pennie, B. and Jollans, L. and Kiiski, H. and Vahey, N. and Rai, L. and Bradley, L. and Lalor, R. and Whelan, R., A Combination of Impulsivity Subdomains Predict Alcohol Intoxication Frequency, Alcoholism: Clinical and Experimental Research, 42, (8), 2018, p1530-1540Journal Article, 2018, DOI
• D'Alberto, N. and Chaarani, B. and Orr, C.A. and Spechler, P.A. and Albaugh, M.D. and Allgaier, N. and Wonnell, A. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Quinlan, E.B. and Conrod, P.J. and DesriviÚres, S. and Flor, H. and Fröhner, J.H. and Frouin, V. and Gowland, P. and Heinz, A. and Itterman, B. and Martinot, J.-L. and PaillÚre Martinot, M.-L. and Artiges, E. and Nees, F. and Papadopoulos Orfanos, D. and Poustka, L. and Robbins, T.W. and Smolka, M.N. and Walter, H. and Whelan, R. and Schumann, G. and Potter, A.S. and Garavan, H., Individual differences in stop-related activity are inflated by the adaptive algorithm in the stop signal task, Human Brain Mapping, 39, (8), 2018, p3263-3276Journal Article, 2018, DOI , URL
• Baker, T.E. and Castellanos-Ryan, N. and Schumann, G. and Cattrell, A. and Flor, H. and Nees, F. and Banaschewski, T. and Bokde, A. and Whelan, R. and Buechel, C. and Bromberg, U. and Papadopoulos Orfanos, D. and Gallinat, J. and Garavan, H. and Heinz, A. and Walter, H. and BrÃŒhl, R. and Gowland, P. and Paus, T. and Poustka, L. and Martinot, J.-L. and Lemaitre, H. and Artiges, E. and PaillÚre Martinot, M.-L. and Smolka, M.N. and Conrod, P., Modulation of orbitofrontal-striatal reward activity by dopaminergic functional polymorphisms contributes to a predisposition to alcohol misuse in early adolescence, Psychological Medicine, 2018, p1-10Journal Article, 2018, DOI , URL
• Jollans, L. and Whelan, R., Neuromarkers for mental disorders: Harnessing population neuroscience, Frontiers in Psychiatry, 9, (JUN), 2018, p00242-Journal Article, 2018, DOI , TARA - Full Text
• Seo, S. and Beck, A. and Matthis, C. and Genauck, A. and Banaschewski, T. and Bokde, A.L. and Bromberg, U. and BÃŒchel, C. and Quinlan, E.B. and Flor, H. and Frouin, V. and Garavan, H. and Gowland, P. and Ittermann, B. and Martinot, J.-L. and PaillÚre Martinot, M.-L. and Nees, F. and Papadopoulos Orfanos, D. and Poustka, L. and Hohmann, S. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and DesriviÚres, S. and Heinz, A. and Schumann, G. and Obermayer, K., Risk profiles for heavy drinking in adolescence: Differential effects of gender, Addiction Biology, 2018Journal Article, 2018, DOI , URL
• Orr C, Spechler P, Cao Z, Albaugh M, Chaarani B, Mackey S, D'Souza D, Allgaier N, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Burke Quinlan E, Conrod P, Desrivières S, Flor H, Frouin V, Gowland P, Heinz A, Ittermann B, Martinot JL, Paillère Martinot ML, Nees F, Papadopoulos Orfanos D, Paus T, Poustka L, Millenet S, Fröhner JH, Radhakrishnan R, Smolka MN, Walter H, Whelan R, Schumann G, Potter A, Garavan H., Grey Matter Volume Differences Associated with Extremely Low Levels of Cannabis Use in Adolescence., The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019, p3375-17Journal Article, 2019, DOI , TARA - Full Text
• Tay N, Macare C, Liu Y, Ruggeri B, Jia T, Chu C, Biondo F, Ing A, Luo Q, Sarkysian D, Banaschewski T, Barker GJ, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Artiges E, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Walter H, Whelan R, Frieling H, Bleich S, Barker ED, Syvänen AC, Rüegg J, Ekström TJ, Bakalkin G, Schumann G, IMAGEN Consortium., Allele-Specific Methylation of SPDEF: A Novel Moderator of Psychosocial Stress and Substance Abuse., The American journal of psychiatry, 2018, pappiajp201817121360Journal Article, 2018, DOI
• Cao Z, Bennett M, Orr C, Icke I, Banaschewski T, Barker GJ, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Fröhner JH, Smolka MN, Walter H, Schumann G, Whelan R, IMAGEN Consortium., Mapping adolescent reward anticipation, receipt, and prediction error during the monetary incentive delay task., Human brain mapping, 40, (1), 2019, p262-283Journal Article, 2019, DOI , TARA - Full Text
• Papanastasiou E, Mouchlianitis E, Joyce DW, McGuire P, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Garavan H, Spechler P, Gowland P, Heinz A, Ittermann B, Martinot JL, Paillère Martinot ML, Artiges E, Nees F, Papadopoulos Orfanos D, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Shergill S, IMAGEN Consortium., Examination of the Neural Basis of Psychoticlike Experiences in Adolescence During Reward Processing., JAMA psychiatry, 75, (10), 2018, p1043-1051Journal Article, 2018, DOI
• Bayard F, Nymberg Thunell C, Abé C, Almeida R, Banaschewski T, Barker G, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Garavan H, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MP, Nees F, Orfanos DP, Paus T, Poustka L, Conrod P, Stringaris A, Struve M, Penttilä J, Kappel V, Grimmer Y, Fadai T, van Noort B, Smolka MN, Vetter NC, Walter H, Whelan R, Schumann G, Petrovic P, IMAGEN Consortium., Distinct brain structure and behavior related to ADHD and conduct disorder traits., Molecular psychiatry, 2018Journal Article, 2018, DOI
• Vulser H, Paillère Martinot ML, Artiges E, Miranda R, Penttilä J, Grimmer Y, van Noort BM, Stringaris A, Struve M, Fadai T, Kappel V, Goodman R, Tzavara E, Massaad C, Banaschewski T, Barker GJ, Bokde ALW, Bromberg U, Brühl R, Büchel C, Cattrell A, Conrod P, Desrivières S, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Nees F, Papadopoulos-Orfanos D, Paus T, Poustka L, Rodehacke S, Smolka MN, Walter H, Whelan R, Schumann G, Martinot JL, Lemaitre H, IMAGEN Consortium., Early Variations in White Matter Microstructure and Depression Outcome in Adolescents With Subthreshold Depression., The American journal of psychiatry, 2018, pappiajp201817070825Journal Article, 2018, DOI
• Kaminski JA, Schlagenhauf F, Rapp M, Awasthi S, Ruggeri B, Deserno L, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Desrivières S, Flor H, Frouin V, Garavan H, Gowland P, Ittermann B, Martinot JL, Martinot MP, Nees F, Orfanos DP, Paus T, Poustka L, Smolka MN, Fröhner JH, Walter H, Whelan R, Ripke S, Schumann G, Heinz A, IMAGEN consortium., Epigenetic variance in dopamine D2 receptor: a marker of IQ malleability?, Translational psychiatry, 8, (1), 2018, p169Journal Article, 2018, DOI , TARA - Full Text
• Quinlan EB, Barker ED, Luo Q, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Desrivières S, Flor H, Frouin V, Garavan H, Chaarani B, Gowland P, Heinz A, Brühl R, Martinot JL, Martinot MP, Nees F, Orfanos DP, Paus T, Poustka L, Hohmann S, Smolka MN, Fröhner JH, Walter H, Whelan R, Schumann G, IMAGEN Consortium., Peer victimization and its impact on adolescent brain development and psychopathology., Molecular psychiatry, 2018Journal Article, 2018, DOI
• Velthorst, E. and Froudist-Walsh, S. and Stahl, E. and Ruderfer, D. and Ivanov, I. and Buxbaum, J. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃ"chel, C. and Burke Quinlan, E. and DesriviÃ"res, S. and Flor, H. and Frouin, V. and Garavan, H. and Gowland, P. and Heinz, A. and Ittermann, B. and PaillÃ"re Martinot, M.-L. and Artiges, E. and Nees, F. and Papadopoulos Orfanos, D. and Paus, T. and Poustka, L. and Hohmann, S. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Schumann, G. and Reichenberg, A. and BÃ"rglum, A.D. and Grove, J. and Mattheisen, M. and Werge, T. and Mortensen, P.B. and Pedersen, M.G. and Pedersen, C.B. and Mors, O. and Nordentoft, M. and Hougaard, D.M. and Bybjerg-Grauholm, J. and BÃ"kvad-Hansen, M. and Hansen, C.S. and Daly, M.J. and Neale, B.M. and Robinson, E.B. and Cerrato, F. and Dumont, A. and Goldstein, J. and Stevens, C. and Walters, R. and Churchhouse, C. and Ripke, S. and Martin, J., Genetic risk for schizophrenia and autism, social impairment and developmental pathways to psychosis, Translational Psychiatry, 8, (1), 2018, p204-Journal Article, 2018, DOI , URL , TARA - Full Text
• L.M. Rueda-Delgado, L. O'Halloran, N. Enz, K.L. Ruddy, H. Kiiski, M. Bennett, F. Farina, L. Jollans, N. Vahey, R. Whelan, Brain event-related potentials predict individual differences in inhibitory control, International Journal of Psychophysiology, 2019, p10.1016/j.ijpsycho.2019.03.013Journal Article, 2019, URL
• O'Halloran, Laura, Rueda"Delgado, Laura M., Jollans, Lee, Cao, Zhipeng, Boyle, Rory, Vaughan, Christina, Coey, Phillip, Whelan, Robert, Inhibitory"control event"related potentials correlate with individual differences in alcohol use, Addiction Biology, 2019Journal Article, 2019, DOI
• Ernst, M. and Benson, B. and Artiges, E. and Gorka, A.X. and Lemaitre, H. and Lago, T. and Miranda, R. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BrÃ"hl, R. and BÃ"chel, C. and Cattrell, A. and Conrod, P. and DesriviÃ"res, S. and Fadai, T. and Flor, H. and Grigis, A. and Gallinat, J. and Garavan, H. and Gowland, P. and Grimmer, Y. and Heinz, A. and Kappel, V. and Nees, F. and Papadopoulos-Orfanos, D. and PenttilÃ", J. and Poustka, L. and Smolka, M.N. and Stringaris, A. and Struve, M. and van Noort, B.M. and Walter, H. and Whelan, R. and Schumann, G. and Grillon, C. and Martinot, M.-L.P. and Martinot, J.-L. and Dalley, J. and Subramaniam, N. and Theobald, D. and Bach, C. and Barker, G.J. and Fauth-BÃ"hler, M. and Millenet, S. and Spanagel, R. and Albrecht, L. and Ivanov, N. and Rapp, M. and Reuter, J. and Strache, N. and Ströhle, A. and Poline, J.B. and Schwartz, Y. and Thyreau, B. and Ireland, J. and Rogers, J. and Bordas, N. and Bricaud, Z. and Filippi, I. and Galinowski, A. and Gollier-Briant, F. and Hall, D. and Havatzias, S. and Jia, T. and Mallik, C. and Nymberg, C. and Ruggeri, B. and Smith, L. and Stueber, K. and Topper, L. and Werts, H. and BrÃ"hl, R. and Ihlenfeld, A. and Walaszek, B. and HÃ"bner, T. and MÃ"ller, K. and Paus, T. and Ripke, S. and Mennigen, E. and Schmidt, D. and Vetter, N.C. and Ziesch, V. and Carter, D. and Connolly, C. and Nugent, S. and Jones, J. and Yacubian, J. and Schneider, S. and Head, K. and Heym, N. and Newman, C. and Pausova, Z. and Tahmasebi, A. and Stephens, D., Pubertal maturation and sex effects on the default-mode network connectivity implicated in mood dysregulation, Translational Psychiatry, 9, (1), 2019, p103-Journal Article, 2019, DOI , URL , TARA - Full Text
• Jollans, L. and Boyle, R. and Artiges, E. and Banaschewski, T. and DesriviÚres, S. and Grigis, A. and Martinot, J.-L. and Paus, T. and Smolka, M.N. and Walter, H. and Schumann, G. and Garavan, H. and Whelan, R., Quantifying performance of machine learning methods for neuroimaging data, NeuroImage, 199, 2019, p351-365Journal Article, 2019, DOI
• Albaugh, M.D. and Hudziak, J.J. and Ing, A. and Chaarani, B. and Barker, E. and Jia, T. and Lemaitre, H. and Watts, R. and Orr, C. and Spechler, P.A. and Lepage, C. and Fonov, V. and Collins, L. and Rioux, P. and Evans, A.C. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Quinlan, E.B. and DesriviÚres, S. and Flor, H. and Frouin, V. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Nees, F. and Orfanos, D.P. and Paus, T. and Poustka, L. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Schumann, G. and Garavan, H. and Potter, A., White matter microstructure is associated with hyperactive/inattentive symptomatology and polygenic risk for attention-deficit/hyperactivity disorder in a population-based sample of adolescents, Neuropsychopharmacology, 44, (9), 2019, p1597-1603Journal Article, 2019, DOI , URL
• KÃŒhn, S. and Mascharek, A. and Banaschewski, T. and Bodke, A. and Bromberg, U. and BÃŒchel, C. and Quinlan, E.B. and Desrivieres, S. and Flor, H. and Grigis, A. and Garavan, H. and Gowland, P.A. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Nees, F. and Papadopoulos Orfanos, D. and Paus, T. and Poustka, L. and Millenet, S. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Schumann, G. and Lindenberger, U. and Gallinat, J., Predicting development of adolescent drinking behaviour from whole brain structure at 14 years of age, eLife, 8, 2019Journal Article, 2019, DOI , URL , TARA - Full Text
• Chaarani, B. and Kan, K.-J. and Mackey, S. and Spechler, P.A. and Potter, A. and Orr, C. and D'Alberto, N. and Hudson, K.E. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Cattrell, A. and Conrod, P.J. and DesriviÚres, S. and Flor, H. and Frouin, V. and Gallinat, J. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Nees, F. and Papadopoulos-Orfanos, D. and Paus, T. and Poustka, L. and Smolka, M.N. and Walter, H. and Whelan, R. and Higgins, S.T. and Schumann, G. and Althoff, R.R. and Stein, E.A. and Garavan, H. and Mann, K. and Struve, M. and Rietschel, M. and Spanagel, R. and Fauth-BÃŒhler, M. and Millenet, S. and Grimmer, Y. and Ivanov, N. and Strache, N. and Rapp, M. and Ströhle, A. and Reuter, J. and Barbot, A. and Thyreau, B. and Schwartz, Y. and Lalanne, C. and Bricaud, Z. and Briand, F.G. and Lemaitre, H. and Massicotte, J. and Vulser, H. and PentillÀ, J. and Galinowski, A. and Jia, T. and Werts, H. and Topper, L. and Reed, L. and Andrew, C. and Mallik, C. and Ruggeri, B. and Nymberg, C. and Smith, L. and Loth, E. and Havatzias, S. and Stueber, K. and Stringaris, A. and Constant, P. and BrÃŒhl, R. and Ihlenfeld, A. and Walaszek, B. and HÃŒbner, T. and MÃŒller, K. and Ripke, S. and Rodehacke, S. and Mennigen, E. and Schmidt, D. and Vetter, N. and Ziesch, V. and Jones, J. and Poline, J.-B. and Fadai, T. and Yacubian, J. and Schneider, S. and Lawrence, C. and Newman, C. and Head, K. and Heym, N. and Pausova, Z. and Tahmasebi, A., Low Smoking Exposure, the Adolescent Brain, and the Modulating Role of CHRNA5 Polymorphisms, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 4, (7), 2019, p672-679Journal Article, 2019, DOI , URL
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• Albaugh, M.D. and Ivanova, M. and Chaarani, B. and Orr, C. and Allgaier, N. and Althoff, R.R. and D' Alberto, N. and Hudson, K. and Mackey, S. and Spechler, P.A. and Banaschewski, T. and BrÃŒhl, R. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Cattrell, A. and Conrod, P.J. and DesriviÚres, S. and Flor, H. and Frouin, V. and Gallinat, J. and Goodman, R. and Gowland, P. and Grimmer, Y. and Heinz, A. and Kappel, V. and Martinot, J.-L. and Martinot, M.-L.P. and Nees, F. and Papadopoulos Orfanos, D. and PenttilÀ, J. and Poustka, L. and Paus, T. and Smolka, M.N. and Struve, M. and Walter, H. and Whelan, R. and Schumann, G. and Garavan, H. and Potter, A.S., Ventromedial Prefrontal Volume in Adolescence Predicts Hyperactive/Inattentive Symptoms in Adulthood, Cerebral cortex (New York, N.Y. : 1991), 29, (5), 2019, p1866-1874Journal Article, 2019, DOI , URL
• Whelan, R., Commentary on Afzali et al. (2019): Two data sets are better than one, Addiction, 114, (4), 2019, p672-673Journal Article, 2019, DOI , URL , TARA - Full Text
• Tyndall, I. and Waldeck, D. and Pancani, L. and Whelan, R. and Roche, B. and Dawson, D.L., The Acceptance and Action Questionnaire-II (AAQ-II) as a measure of experiential avoidance: Concerns over discriminant validity, Journal of Contextual Behavioral Science, 12, 2019, p278-284Journal Article, 2019, DOI , URL
• Whelan, R., Decisions, Decisions: Machine Learning as a Tool to Identify Alcohol-use Disorder Treatment Seekers, EClinicalMedicine, 2019, p1--Journal Article, 2019, DOI , URL , TARA - Full Text
• Rai, L.A. and O'Halloran, L. and Jollans, L. and Vahey, N. and O'Brolchain, C. and Whelan, R., Individual differences in learning from probabilistic reward and punishment predicts smoking status, Addictive Behaviors, 88, 2019, p73-76Journal Article, 2019, DOI
• Ruan, H. and Zhou, Y. and Luo, Q. and Robert, G.H. and DesriviÃ"res, S. and Quinlan, E.B. and Liu, Z. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃ"chel, C. and Flor, H. and Frouin, V. and Garavan, H. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Martinot, M.-L.P. and Nees, F. and Orfanos, D.P. and Poustka, L. and Hohmann, S. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Li, F. and Schumann, G. and Feng, J., Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation, NeuroImage: Clinical, 22, 2019, p101804-Journal Article, 2019, DOI , URL , TARA - Full Text
• Barker, E.D. and Ing, A. and Biondo, F. and Jia, T. and Pingault, J.-B. and Du Rietz, E. and Zhang, Y. and Ruggeri, B. and Banaschewski, T. and Hohmann, S. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Quinlan, E.B. and Sounga-Barke, E. and Bowling, A.B. and DesriviÚres, S. and Flor, H. and Frouin, V. and Garavan, H. and Asherson, P. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Martinot, M.-L.P. and Nees, F. and Papadopoulos-Orfanos, D. and Poustka, L. and Smolka, M.N. and Vetter, N.C. and Walter, H. and Whelan, R. and Schumann, G., Do ADHD-impulsivity and BMI have shared polygenic and neural correlates?, Molecular Psychiatry, 2019Journal Article, 2019, DOI , URL , TARA - Full Text
• Fitzgerald, A. and Giollabhui, N.M. and Dolphin, L. and Whelan, R. and Dooley, B., Dissociable psychosocial profiles of adolescent substance users, PLoS ONE, 13, (8), 2018Journal Article, 2018, DOI , URL , TARA - Full Text
• Tyndall, I. and Waldeck, D. and Pancani, L. and Whelan, R. and Roche, B. and Pereira, A., Profiles of Psychological Flexibility: A Latent Class Analysis of the Acceptance and Commitment Therapy Model, Behavior Modification, 2018Journal Article, 2018, DOI , URL
• Spechler, P.A. and Allgaier, N. and Chaarani, B. and Whelan, R. and Watts, R. and Orr, C. and Albaugh, M.D. and D'Alberto, N. and Higgins, S.T. and Hudson, K.E. and Mackey, S. and Potter, A. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Cattrell, A. and Conrod, P.J. and DesriviÚres, S. and Flor, H. and Frouin, V. and Gallinat, J. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and PaillÚre Martinot, M.-L. and Nees, F. and Papadopoulos Orfanos, D. and Paus, T. and Poustka, L. and Smolka, M.N. and Walter, H. and Schumann, G. and Althoff, R.R. and Garavan, H. and Mann, K. and Struve, M. and Rietschel, M. and Spanagel, R. and Fauth-BÃŒhler, M. and Millenet, S. and Grimmer, Y. and Ivanov, N. and Strache, N. and Rapp, M. and Ströhle, A. and Reuter, J. and Barbot, A. and Thyreau, B. and Schwartz, Y. and Lalanne, C. and Bricaud, Z. and Briand, F. and Lemaitre, H. and Massicotte, J. and Vulser, H. and PentillÀ, J. and Galinowski, A. and Jia, T. and Werts, H. and Topper, L. and Reed, L. and Andrew, C. and Mallik, C. and Ruggeri, B. and Nymberg, C. and Smith, L. and Loth, E. and Havatzias, S. and Stueber, K. and Stringaris, A. and BrÃŒhl, R. and Ihlenfeld, A. and Walaszek, B. and HÃŒbner, T. and MÃŒller, K. and Ripke, S. and Rodehacke, S. and Mennigen, E. and Schmidt, D. and Vetter, N. and Ziesch, V. and Poline, J.-B. and Fadai, T. and Yacubian, J. and Lawrence, C. and Newman, C. and Head, K. and Heym, N. and Pausova, Z. and Tahmasebi, A., The initiation of cannabis use in adolescence is predicted by sex-specific psychosocial and neurobiological features, European Journal of Neuroscience, 2018Journal Article, 2018, DOI , URL
• Galinowski, A. and Miranda, R. and Lemaitre, H. and Artiges, E. and PaillÚre Martinot, M.-L. and Filippi, I. and PenttilÀ, J. and Grimmer, Y. and van Noort, B.M. and Stringaris, A. and Becker, A. and Isensee, C. and Struve, M. and Fadai, T. and Kappel, V. and Goodman, R. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BrÃŒhl, R. and BÃŒchel, C. and Cattrell, A. and Conrod, P. and DesriviÚres, S. and Flor, H. and Fröhner, J.H. and Frouin, V. and Gallinat, J. and Garavan, H. and Gowland, P. and Heinz, A. and Hohmann, S. and Jurk, S. and Millenet, S. and Nees, F. and Papadopoulos-Orfanos, D. and Poustka, L. and Quinlan, E.B. and Smolka, M.N. and Walter, H. and Whelan, R. and Schumann, G. and Martinot, J.-L., Heavy drinking in adolescents is associated with change in brainstem microstructure and reward sensitivity, Addiction Biology, (e12781), 2019Journal Article, 2019, DOI , URL
• Luo, Q. and Chen, Q. and Wang, W. and DesriviÃ"res, S. and Quinlan, E.B. and Jia, T. and Macare, C. and Robert, G.H. and Cui, J. and Guedj, M. and Palaniyappan, L. and Kherif, F. and Banaschewski, T. and Bokde, A.L.W. and BÃ"chel, C. and Flor, H. and Frouin, V. and Garavan, H. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Artiges, E. and PaillÃ"re-Martinot, M.-L. and Nees, F. and Orfanos, D.P. and Poustka, L. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Callicott, J.H. and Mattay, V.S. and Pausova, Z. and Dartigues, J.-F. and Tzourio, C. and Crivello, F. and Berman, K.F. and Li, F. and Paus, T. and Weinberger, D.R. and Murray, R.M. and Schumann, G. and Feng, J., Association of a Schizophrenia-Risk Nonsynonymous Variant with Putamen Volume in Adolescents: A Voxelwise and Genome-Wide Association Study, JAMA Psychiatry, 2019, p435-445Journal Article, 2019, DOI , URL
• KÃŒhn, S. and Lisofsky, N. and Banaschewski, T. and Barker, G. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and BrÃŒhl, R. and Quinlan, E.B. and DesriviÚres, S. and Flor, H. and Grigis, A. and Garavan, H. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Martinot, M.-L.P. and Nees, F. and Orfanos, D.P. and Paus, T. and Poustka, L. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Schumann, G. and Gallinat, J., Hierarchical associations of alcohol use disorder symptoms in late adolescence with markers during early adolescence, Addictive Behaviors, 100, (106130), 2020Journal Article, 2020, DOI , URL
• Ing, A. and SÀmann, P.G. and Chu, C. and Tay, N. and Biondo, F. and Robert, G. and Jia, T. and Wolfers, T. and DesriviÚres, S. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Conrod, P. and Fadai, T. and Flor, H. and Frouin, V. and Garavan, H. and Spechler, P.A. and Gowland, P. and Grimmer, Y. and Heinz, A. and Ittermann, B. and Kappel, V. and Martinot, J.-L. and Meyer-Lindenberg, A. and Millenet, S. and Nees, F. and van Noort, B. and Orfanos, D.P. and Martinot, M.-L.P. and PenttilÀ, J. and Poustka, L. and Quinlan, E.B. and Smolka, M.N. and Stringaris, A. and Struve, M. and Veer, I.M. and Walter, H. and Whelan, R. and Andreassen, O.A. and Agartz, I. and Lemaitre, H. and Barker, E.D. and Ashburner, J. and Binder, E. and Buitelaar, J. and Marquand, A. and Robbins, T.W. and Schumann, G., Identification of neurobehavioural symptom groups based on shared brain mechanisms, Nature Human Behaviour, 3, (12), 2019, p1306-1318Journal Article, 2019, DOI , URL
• Spechler, P.A. and Chaarani, B. and Orr, C. and Mackey, S. and Higgins, S.T. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and BÃŒchel, C. and Quinlan, E.B. and Conrod, P.J. and DesriviÚres, S. and Flor, H. and Frouin, V. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and Nees, F. and Orfanos, D.P. and Poustka, L. and Fröhner, J.H. and Smolka, M.N. and Walter, H. and Whelan, R. and Schumann, G. and Garavan, H. and Althoff, R.R. and Barker, G. and PaillÚre Martinot, M.-L. and Artiges, E. and Lemaitre, H. and Paus, T. and Vetter, N.C. and Jurk, S. and Mennigen, E., Neuroimaging Evidence for Right Orbitofrontal Cortex Differences in Adolescents With Emotional and Behavioral Dysregulation, Journal of the American Academy of Child and Adolescent Psychiatry, 58, (11), 2019, p1092-1103Journal Article, 2019, DOI , URL
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• Robert, G.H. and Luo, Q. and Yu, T. and Chu, C. and Ing, A. and Jia, T. and Papadopoulos Orfanos, D. and Burke-Quinlan, E. and DesriviÚres, S. and Ruggeri, B. and Spechler, P. and Chaarani, B. and Tay, N. and Banaschewski, T. and Bokde, A.L.W. and Bromberg, U. and Flor, H. and Frouin, V. and Gowland, P. and Heinz, A. and Ittermann, B. and Martinot, J.-L. and PaillÚre Martinot, M.-L. and Nees, F. and Poustka, L. and Smolka, M.N. and Vetter, N.C. and Walter, H. and Whelan, R. and Conrod, P. and Barker, T. and Garavan, H. and Schumann, G., Association of Gray Matter and Personality Development with Increased Drunkenness Frequency during Adolescence, JAMA Psychiatry, 2019Journal Article, 2019, DOI , URL
• Yu, T. and Jia, T. and Zhu, L. and DesriviÚres, S. and Macare, C. and Bi, Y. and Bokde, A.L.W. and Quinlan, E.B. and Heinz, A. and Ittermann, B. and Liu, C. and Ji, L. and Banaschewski, T. and Ren, D. and Du, L. and Hou, B. and Flor, H. and Frouin, V. and Garavan, H. and Gowland, P. and Martinot, J.-L. and PaillÚre Martinot, M.-L. and Nees, F. and Orfanos, D.P. and Luo, Q. and Chu, C. and Paus, T. and Poustka, L. and Hohmann, S. and Millenet, S. and Smolka, M.N. and Vetter, N.C. and Mennigen, E. and Lei, C. and Walter, H. and Fröhner, J.H. and Whelan, R. and He, G. and He, L. and Schumann, G. and Robert, G., Cannabis-Associated Psychotic-like Experiences Are Mediated by Developmental Changes in the Parahippocampal Gyrus, Journal of the American Academy of Child and Adolescent Psychiatry, 2019Journal Article, 2019, DOI , URL
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• Francesca R. Farina, Gabija Pragulbickait", Marc Bennett, Cian Judd, Kevin Walsh, Samantha Mitchell, Redmond G. O'Connell, Robert Whelan, Contralateral delay activity is not a robust marker of cognitive function in older adults at risk of mild cognitive impairment, European Journal of Neuroscience, 2020Journal Article, 2020
• Rory Boyle, Lee Jollans, Laura M. Rueda-Delgado, Rossella Rizzo, Görsev G. Yener, Jason P. McMorrow, Silvin P. Knight, Daniel Carey, Ian H. Robertson, Derya D. Emek-Savaş, Yaakov Stern, Rose Anne Kenny, Robert Whelan, Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis, Brain Imaging and Behavior, 2020Journal Article, 2020, DOI , URL , TARA - Full Text
• Xie C, Jia T, Rolls ET, Robbins TW, Sahakian BJ, Zhang J, Liu Z, Cheng W, Luo Q, Zac Lo CY, Wang H, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Gowland P, Heinz A, Hohmann S, Ittermann B, Martinot JL, Paillère Martinot ML, Nees F, Orfanos DP, Paus T, Poustka L, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Feng J, IMAGEN Consortium., Reward Versus Nonreward Sensitivity of the Medial Versus Lateral Orbitofrontal Cortex Relates to the Severity of Depressive Symptoms., Biological psychiatry : cognitive neuroscience and neuroimaging, 6, (3), 2021, p259-269Journal Article, 2021, DOI
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• Kühn, S., Banaschewski, T., Bokde, A.L.W., Büchel, C., Quinlan, E.B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Martinot, M.L.P., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Millenet, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Meyer-Lindenberg, A., Gallinat, J., Brain structure and habitat: Do the brains of our children tell us where they have been brought up?, NeuroImage, 222, 2020Journal Article, 2020
• Kühn, S., Mascherek, A., Banaschewski, T., Bokde, A.L.W., Büchel, C., Quinlan, E.B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Martinot, M.-L.P., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Millenet, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Lindenberger, U., Gallinat, J., Predicting change trajectories of neuroticism from baseline brain structure using whole brain analyses and latent growth curve models in adolescents, Scientific Reports, 10, (1), 2020Journal Article, 2020
• Grasby, K.L., Jahanshad, N., Painter, J.N., Colodro-Conde, L., Bralten, J., Hibar, D.P., Lind, P.A., Pizzagalli, F., Ching, C.R.K., McMahon, M.A.B., Shatokhina, N., Zsembik, L.C.P., Thomopoulos, S.I., Zhu, A.H., Strike, L.T., Agartz, I., Alhusaini, S., Almeida, M.A.A., Alnæs, D., Amlien, I.K., Andersson, M., Ard, T., Armstrong, N.J., Ashley-Koch, A., Atkins, J.R., Bernard, M., Brouwer, R.M., Buimer, E.E.L., Bülow, R., Bürger, C., Cannon, D.M., Chakravarty, M., Chen, Q., Cheung, J.W., Couvy-Duchesne, B., Dale, A.M., Dalvie, S., de Araujo, T.K., de Zubicaray, G.I., de Zwarte, S.M.C., den Braber, A., Doan, N.T., Dohm, K., Ehrlich, S., Engelbrecht, H.-R., Erk, S., Fan, C.C., Fedko, I.O., Foley, S.F., Ford, J.M., Fukunaga, M., Garrett, M.E., Ge, T., Giddaluru, S., Goldman, A.L., Green, M.J., Groenewold, N.A., Grotegerd, D., Gurholt, T.P., Gutman, B.A., Hansell, N.K., Harris, M.A., Harrison, M.B., Haswell, C.C., Hauser, M., Herms, S., Heslenfeld, D.J., Ho, N.F., Hoehn, D., Hoffmann, P., Holleran, L., Hoogman, M., Hottenga, J.-J., Ikeda, M., Janowitz, D., Jansen, I.E., Jia, T., Jockwitz, C., Kanai, R., Karama, S., Kasperaviciute, D., Kaufmann, T., Kelly, S., Kikuchi, M., Klein, M., Knapp, M., Knodt, A.R., Krämer, B., Lam, M., Lancaster, T.M., Lee, P.H., Lett, T.A., Lewis, L.B., Lopes-Cendes, I., Luciano, M., Macciardi, F., Marquand, A.F., Mathias, S.R., Melzer, T.R., Milaneschi, Y., Mirza-Schreiber, N., Moreira, J.C.V., Mühleisen, T.W., Müller-Myhsok, B., Najt, P., Nakahara, S., Nho, K., Olde Loohuis, L.M., Orfanos, D.P., Pearson, J.F., Pitcher, T.L., Pütz, B., Quidé, Y., Ragothaman, A., Rashid, F.M., Reay, W.R., Redlich, R., Reinbold, C.S., Repple, J., Richard, G., Riedel, B.C., Risacher, S.L., Rocha, C.S., Mota, N.R., Salminen, L., Saremi, A., Saykin, A.J., Schlag, F., Schmaal, L., Schofield, P.R., Secolin, R., Shapland, C.Y., Shen, L., Shin, J., Shumskaya, E., Sønderby, I.E., Sprooten, E., Tansey, K.E., Teumer, A., Thalamuthu, A., Tordesillas-Gutiérrez, D., Turner, J.A., Uhlmann, A., Vallerga, C.L., van der Meer, D., van Donkelaar, M.M.J., van Eijk, L., van Erp, T.G.M., van Haren, N.E.M., van Rooij, D., van Tol, M.-J., Veldink, J.H., Verhoef, E., Walton, E., Wang, M., Wang, Y., Wardlaw, J.M., Wen, W., Westlye, L.T., Whelan, C.D., Witt, S.H., Wittfeld, K., Wolf, C., Wolfers, T., Wu, J.Q., Yasuda, C.L., Zaremba, D., Zhang, Z., Zwiers, M.P., Artiges, E., Assareh, A.A., Ayesa-Arriola, R., Belger, A., Brandt, C.L., Brown, G.G., Cichon, S., Curran, J.E., Davies, G.E., Degenhardt, F., Dennis, M.F., Dietsche, B., Djurovic, S., Doherty, C.P., Espiritu, R., Garijo, D., Gil, Y., Gowland, P.A., Green, R.C., Häusler, A.N., Heindel, W., Ho, B.-C., Hoffmann, W.U., Holsboer, F., Homuth, G., Hosten, N., Jack, C.R., Jang, M., Jansen, A., Kimbrel, N.A., Kolskår, K., Koops, S., Krug, A., Lim, K.O., Luykx, J.J., Mathalon, D.H., Mather, K.A., Mattay, V.S., Matthews, S., van Son, J.M., McEwen, S.C., Melle, I., Morris, D.W., Mueller, B.A., Nauck, M., Nordvik, J.E., Nöthen, M.M., O'Leary, D.S., Opel, N., Martinot, M.-L.P., Bruce Pike, G., Preda, A., Quinlan, E.B., Rasser, P.E., Ratnakar, V., Reppermund, S., Steen, V.M., Tooney, P.A., Torres, F.R., Veltman, D.J., Voyvodic, J.T., Whelan, R., White, T., Yamamori, H., Adams, H.H.H., Bis, J.C., Debette, S., Decarli, C., Fornage, M., Gudnason, V., Hofer, E., Arfan Ikram, M., Launer, L., Longstreth, W.T., Lopez, O.L., Mazoyer, B., Mosley, T.H., Roshchupkin, G.V., Satizabal, C.L., Schmidt, R., Seshadri, S., Yang, Q., Alvim, M.K.M., Ames, D., Anderson, T.J., Andreassen, O.A., Arias-Vasquez, A., Bastin, M.E., Baune, B.T., Beckham, J.C., Blangero, J., Boomsma, D.I., Brodaty, H., Brunner, H.G., Buckner, R.L., Buitelaar, J.K., Bustillo, J.R., Cahn, W., Cairns, M.J., Calhoun, V., Carr, V.J., Caseras, X., Caspers, S., Caval, The genetic architecture of the human cerebral cortex, Science, 367, (6484), 2020Journal Article, 2020
• Bossier, H., Roels, S.P., Seurinck, R., Banaschewski, T., Barker, G.J., Bokde, A.L.W., Quinlan, E.B., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Artiges, E., Nees, F., Orfanos, D.P., Poustka, L., Fröhner Dipl-Psych, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Moerkerke, B., The empirical replicability of task-based fMRI as a function of sample size, NeuroImage, 212, 2020Journal Article, 2020
• Mascarell Mari"i", L., Walter, H., Rosenthal, A., Ripke, S., Quinlan, E.B., Banaschewski, T., Barker, G.J., Bokde, A.L.W., Bromberg, U., Büchel, C., Desrivières, S., Flor, H., Frouin, V., Garavan, H., Itterman, B., Martinot, J.-L., Martinot, M.-L.P., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Hohmann, S., Smolka, M.N., Fröhner, J.H., Whelan, R., Kaminski, J., Schumann, G., Heinz, A., Albrecht, L., Andrew, C., Arroyo, M., Artiges, E., Aydin, S., Bach, C., Banaschewski, T., Barbot, A., Barker, G., Boddaert, N., Bokde, A., Bricaud, Z., Bromberg, U., Bruehl, R., Büchel, C., Cachia, A., Cattrell, A., Conrod, P., Constant, P., Dalley, J., Decideur, B., Desrivieres, S., Fadai, T., Flor, H., Frouin, V., Gallinat, J., Garavan, H., Briand, F.G., Gowland, P., Heinrichs, B., Heinz, A., Heym, N., Hübner, T., Ireland, J., Ittermann, B., Jia, T., Lathrop, M., Lanzerath, D., Lawrence, C., Lemaitre, H., Lüdemann, K., Macare, C., Mallik, C., Mangin, J.-F., Mann, K., Martinot, J.-L., Mennigen, E., de Carvahlo, F.M., Mignon, X., Miranda, R., Müller, K., Nees, F., Nymberg, C., Paillere, M.-L., Paus, T., Pausova, Z., Poline, J.-B., Poustka, L., Rapp, M., Robert, G., Reuter, J., Rietschel, M., Ripke, S., Robbins, T., Rodehacke, S., Rogers, J., Romanowski, A., Ruggeri, B., Schmäl, C., Schmidt, D., Schneider, S., Schumann, M.G., Schubert, F., Schwartz, Y., Smolka, M., Sommer, W., Spanagel, R., Speiser, C., Spranger, T., Stedman, A., Steiner, S., Stephens, D., Strache, N., Ströhle, A., Struve, M., Subramaniam, N., Topper, L., Walter, H., Whelan, R., Williams, S., Yacubian, J., Zilbovicius, M., Wong, C.P., Lubbe, S., Martinez-Medina, L., Fernandes, A., Tahmasebi, A., The IMAGEN study: a decade of imaging genetics in adolescents, Molecular Psychiatry, 2020Journal Article, 2020
• O'Connor, M., Whelan, R., Bricker, J., McHugh, L., Randomized Controlled Trial of a Smartphone Application as an Adjunct to Acceptance and Commitment Therapy for Smoking Cessation, Behavior Therapy, 51, (1), 2020, p162-177Journal Article, 2020
• Laura A. Rai, Laura O'Halloran, Lee Jollans, Nigel Vahey, Conall O'Brolchain, Robert Whelan, Individual differences in learning from probabilistic reward and punishment predicts smoking status, Addictive Behaviors, 88, 2019, p73--76Journal Article, 2019
• FR Farina, DD Emek-Sava", L Rueda-Delgado, R Boyle, H Kiiski, G Yener, R Whelan, A comparison of resting state EEG and structural MRI for classifying Alzheimer"s disease and mild cognitive impairment, 2019Journal Article, 2019
• Francesca R Farina, Gabija Pragulbickait", Marc Bennett, Cian Judd, Kevin Walsh, Samantha Mitchell, Redmond G O"Connell, Robert Whelan, Contralateral Delay Activity is not sensitive to cognitive decline in older adults at risk of Mild Cognitive Impairment, 2019Journal Article, 2019
• Verbruggen, F., Aron, A.R., Band, G.P.H., Beste, C., Bissett, P.G., Brockett, A.T., Brown, J.W., Chamberlain, S.R., Chambers, C.D., Colonius, H., Colzato, L.S., Corneil, B.D., Coxon, J.P., Dupuis, A., Eagle, D.M., Garavan, H., Greenhouse, I., Heathcote, A., Huster, R.J., Jahfari, S., Kenemans, J.L., Leunissen, I., Li, C.-S.R., Logan, G.D., Matzke, D., Morein-Zamir, S., Murthy, A., Paré, M., Poldrack, R.A., Ridderinkhof, K.R., Robbins, T.W., Roesch, M., Rubia, K., Schachar, R.J., Schall, J.D., Stock, A.-K., Swann, N.C., Thakkar, K.N., Van Der Molen, M.W., Vermeylen, L., Vink, M., Wessel, J.R., Whelan, R., Zandbelt, B.B., Boehler, C.N., A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task, eLife, 8, 2019Journal Article, 2019
• Moreno Padilla, M., O"Halloran, L., Bennett, M., Cao, Z., Whelan, R., Impulsivity and Reward Processing Endophenotypes in Youth Alcohol Misuse, Current Addiction Reports, 4, (4), 2017, p350-363Journal Article, 2017
• Barnes-Holmes, D., Valverde, M.R., Whelan, R., Relational frame theory and the experimental analysis of language and cognition,La teoría de los marcos relacionales y el análisis experimental del lenguaje y la cognición, Revista Latinoamericana de Psicologia, 37, (2), 2005, p255-275Journal Article, 2005
• Whelan, R., Barnes-Holmes, D., Empirical models of formative augmenting in accordance with the relations of same, opposite, more-than and less-than,Modelos empíricos de augmenting formativo de acuerdo a las relaciones de igualdad, oposiciín, mayor-que y menor que, International Journal of Psychology and Psychological Therapy, 4, (2), 2004, p285-302Journal Article, 2004
• Barnes-Holmes, D., Staunton, C., Barnes-Holmes, Y., Whelan, R., Stewart, I., Commins, S., Walsh, D., Smeets, P.M., Dymond, S., Interfacing relational frame theory with cognitive neuroscience: Semantic priming, the implicit association test, and event related potentials,Conectando la relational frame theory con la neurociencia cognitiva: Priming semántico, el test de asociación Implícita, y los potenciales de evento, International Journal of Psychology and Psychological Therapy, 4, (2), 2004, p215-240Journal Article, 2004
• Sean W. Kelley, Caoimhe Ní Mhaonaigh, Louise Burke, Robert Whelan, Claire M. Gillan, Machine learning of language use on Twitter reveals weak and non-specific predictions, npj Digital Medicine, 5, (1), 2022Journal Article, 2022, DOI
• Kaiser, A., Holz, N. E., Banaschewski, T., Baumeister, S., Bokde, A. L., Desrivières, S., ... & Winterer, J. M., A developmental perspective on facets of impulsivity and brain activity correlates from adolescence to adulthood, Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2022Journal Article, 2022
• Rowley, M., Warner, J., Harper, S. A., Beethe, A. Z., Whelan, R., Ruddy, K. L., & Bolton, D. A., A method to assess response inhibition during a balance recovery step, Gait & Posture, 2022Journal Article, 2022
• Birba, A., Santamaría-García, H., Prado, P., Cruzat, J., Ballesteros, A. S., Legaz, A., ... & Ibáñez, A., Allostatic-Interoceptive Overload in Frontotemporal Dementia, Biological Psychiatry, 2022Journal Article, 2022
• Sun, Y., Jia, T., Barker, E. D., Chen, D., Zhang, Z., Xu, J., ... & Desrivières, S. (2022), Associations of DNA methylation with behavioral problems, grey matter volumes and negative life events across adolescence: Evidence from the longitudinal IMAGEN study, Biological Psychiatry, 93, (4), 2022, p342 - 351Journal Article, 2022, DOI
• Komarnyckyj, M., Retzler, C., Cao, Z., Ganis, G., Murphy, A., Whelan, R., & Fouragnan, E. F. , At-risk alcohol users have disrupted valence discrimination during reward anticipation, Addiction biology, 2022Journal Article, 2022
• Pijnenburg, L. J., Kaplun, A., De Haan, L., Janecka, M., Smith, L., Reichenberg, A., ... & Velthorst, E. (2022)., Autistic traits and alcohol use in adolescents within the general population, European Child & Adolescent Psychiatry, 32, (9), 2022, p1633 - 1642Journal Article, 2022, DOI
• Owens, M. M., Albaugh, M. D., Allgaier, N., Yuan, D., Robert, G., Cupertino, R. B., ... & Garavan, H. (2022)., Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning, Translational psychiatry, 2022Journal Article, 2022
• Vulser, H., Lemaître, H. S., Guldner, S., Bezivin-Frère, P., Löffler, M., Sarvasmaa, A. S., ... & IMAGEN Consortium. (2022)., Chronotype, Longitudinal Volumetric Brain Variations Throughout Adolescence and Depressive Symptom Development, Journal of the American Academy of Child & Adolescent Psychiatry, 61, (1), 2022, p48 - 58Journal Article, 2022, DOI
• Gazula, H., Rootes-Murdy, K., Holla, B., Basodi, S., Zhang, Z., Verner, E., ... & Calhoun, V. D. (2022)., Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains, bioRxiv, 21, (2), 2022, p287 - 301Journal Article, 2022, DOI
• Brouwer, R. M., Klein, M., Grasby, K. L., Schnack, H. G., Jahanshad, N., Teeuw, J., ... & Fullerton, J. M. (2022)., Genetic variants associated with longitudinal changes in brain structure across the lifespan, Nature neuroscience, 25, (4), 2022, p421 - 432Journal Article, 2022, DOI
• Pan, P. M., Sato, J. R., Paillère Martinot, M. L., Martinot, J. L., Artiges, E., Penttilä, J., ... & IMAGEN Consortium. (2022), Longitudinal Trajectory of the Link Between Ventral Striatum and Depression in Adolescence, American Journal of Psychiatry, 179, (7), 2022, p470 - 481Journal Article, 2022, DOI
• Kenney, J. P., Rueda-Delgado, L. M., Hanlon, E. O., Jollans, L., Kelleher, I., Healy, C., ...Whelan, R. & Cannon, M. , Neuroanatomical markers of psychotic experiences in adolescents: A machine-learning approach in a longitudinal population-based sample, NeuroImage: Clinical, 2022Journal Article, 2022
• Healy, C., Brannigan, R., Dooley, N., Staines, L., Keeley, H., Whelan, R., ... & Cannon, M. (2022). , Person-Centered Trajectories of Psychopathology From Early Childhood to Late Adolescence, JAMA Network Open, 2022Journal Article, 2022
• Enz, Nadja, Jemima Schmidt, Kate Nolan, Matthew Mitchell, Sandra Alvarez Gomez, Miryam Alkayyali, Pierce Cambay, Magdalena Gippert, Robert Whelan, and Kathy Ruddy, Self-regulation of the brain's right frontal Beta rhythm using a brain-computer interface, Psychophysiology, 2022Journal Article, 2022
• Rane, R. P., de Man, E. F., Kim, J., Görgen, K., Tschorn, M., Rapp, M. A., ... & IMAGEN Consortium. (2022)., Structural differences in adolescent brains can predict alcohol misuse, Elife, 11, 2022, p1 - 33Journal Article, 2022, DOI
• Connaughton, M., Whelan, R., O'Hanlon, E., & McGrath, J. (2022). , White matter microstructure in children and adolescents with ADHD, NeuroImage: Clinical, 2022Journal Article, 2022
• Rackeb Tesfaye, Guillaume Huguet, Zoe Smiliovich, Mor Absa Loum, Elise Douard, Martineau Jean-Louis, Jean Luc Martinot, Rob Whelan, Sylvane Desrivieres, Andreas Heinz, Gunter Schumann, Caroline Hayward, Mayada Elsabbagh, Sebastien Jacquemont, Investigating the contributions of circadian pathway and insomnia risk genes to autism and sleep disturbances, 2021Journal Article, 2021, DOI
• Perkins, E. R., Joyner, K. J., Foell, J., Drislane, L. E., Brislin, S. J., Frick, P. J., ... & Imagen Consortium. (2022). , Assessing General Versus Specific Liability for Externalizing Problems in Adolescence: Concurrent and Prospective Prediction of Symptoms of Conduct Disorder, ADHD, and Substance Use, Journal of Abnormal Psychology, 2021Journal Article, 2021
• Barbey, F. M., Farina, F. R., Buick, A. R., Danyeli, L., Dyer, J. F., Islam, M. N., ... & Whelan, R. , Neuroscience from the comfort of your home: repeated, self-administered wireless dry EEG measures brain function with high fidelity, Frontiers in Digital Health, 2022Journal Article, 2022
• Robert Whelan, Florentine M. Barbey, Marcia R. Cominetti, Claire M. Gillan, Anna M. Rosická, Developments in scalable strategies for detecting early markers of cognitive decline, Translational Psychiatry, 2022Journal Article, 2022, DOI
• Millenet, Sabina K and Nees, Frauke and Heintz, Stefan and Bach, Christiane and Frank, Josef and Vollst{\"a, COMT Val158Met polymorphism and social impairment interactively affect attention-deficit hyperactivity symptoms in healthy adolescents, Frontiers in Genetics, 9, 2018, p284Journal Article, 2018
• M{\"u, The cortical neuroimmune regulator TANK affects emotional processing and enhances alcohol drinking: a translational study, Cerebral Cortex, 29, (4), 2019, p1736--1751Journal Article, 2019
• Schumann, Gunter and Benegal, Vivek and Yu, Chunshui and Tao, Sha and Jernigan, Terry and Heinz, Andreas and Araya, Ricardo and Yu, Le and Calhoun, Vince, Precision medicine and global mental health, The Lancet Global Health, 7, (1), 2019, pe32Journal Article, 2019
• Xu, Jiayuan and Liu, Xiaoxuan and Ing, Alex and Li, Qiaojun and Qin, Wen and Guo, Lining and Huang, Conghong and Cheng, Jingliang and Wang, Meiyun and Geng, Zuojun and others, Satellite imaging of global Urbanicity relate to adolescent brain development and behavior, bioRxiv, 2019, p781674Journal Article, 2019
• Genetics, imaging, and cognition: Big data approaches to addiction research in, Cognition and Addiction, Academic Press, 2020, pp365--377 , [Whelan, Robert and Cao, Zhipeng and O'Halloran, Laura and Pennie, Brian]Book Chapter, 2020
• Mongan, David and F{\"o, Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence, JAMA psychiatry, 2020Journal Article, 2020
• Bickart, KC and Napolioni, V and Khan, RR and Kim, Y and Altmann, A and Richiardi, J and Newsom, M and Sadaghiani, S and Banaschewski, T and Bokde, ALW and others, Genetic variation in CSMD1 affects amygdala connectivity and prosocial behavior, bioRxiv, 2020Journal Article, 2020
• Groman, Stephanie M and Ikemoto, Satoshi and Rushworth, Matthew and Taylor, Jane R and Whelan, Robert, Introducing the PLOS ONE Collection on the neuroscience of reward and decision making, PloS one, 15, (10), 2020, pe0240505Journal Article, 2020
• Zhang, Yi and Luo, Qiang and Huang, Chu-Chung and Lo, Chun-Yi Zac and Langley, Christelle and Desrivi{\`e, The human brain is best described as being on a female/male continuum: evidence from a neuroimaging connectivity study, Cerebral Cortex, 31, (6), 2021, p3021--3033Journal Article, 2021
• Ottino-Gonz{\'a, Brain structural covariance network differences in adults with alcohol dependence and heavy-drinking adolescents, Addiction, 117, (5), 2022, p1312--1325Journal Article, 2022
• Brouwer, Rachel M and Klein, Marieke and Grasby, Katrina L and Schnack, Hugo G and Jahanshad, Neda and Teeuw, Jalmar and Thomopoulos, Sophia I and Sprooten, Emma and Franz, Carol E and Gogtay, Nitin and others, Age-dependent genetic variants associated with longitudinal changes in brain structure across the lifespan, bioRxiv, 2021, p2020--04Journal Article, 2021
• Moguilner, Sebastian and Birba, Agustina and Fittipaldi, Sol and Gonzalez-Campo, Cecilia and Tagliazucchi, Enzo and Reyes, Pablo and Matallana, Diana and Parra, Mario A and Slachevsky, Andrea and Far{\'\i, Multi-feature computational framework for combined signatures of dementia in underrepresented settings, Journal of Neural Engineering, 19, (4), 2022, p046048Journal Article, 2022
• Radwanska, Kasia and Pagano, Roberto and Salamian, Ahmad and Zielinski, Janusz and Beroun, Anna and Nalberczak-Sk{\'o, Arc controls alcohol cue relapse by a central amygdala mechanism, 2022Journal Article, 2022
• Nees, Frauke and Banaschewski, Tobias and Bokde, Arun LW and Desrivi{\`e, Global and Regional Structural Differences and Prediction of Autistic Traits during Adolescence, Brain sciences, 12, (9), 2022, p1187Journal Article, 2022
• Maitra, Raka and Horne, Charlotte M and O†Daly, Owen and Papanastasiou, Evangelos and Gaser, Christian and Banaschewski, Tobias and Barker, Gareth J and Bokde, Arun LW and Desrivi{\`e, Psychotic Like Experiences in Healthy Adolescents are Underpinned by Lower Fronto-Temporal Cortical Gyrification: a Study from the IMAGEN Consortium, Schizophrenia Bulletin, 2022Journal Article, 2022
• Pagano, Roberto and Salamian, Ahmad and Zielinski, Janusz and Beroun, Anna and Nalberczak-Sk{\'o, Arc controls alcohol cue relapse by a central amygdala mechanism, Molecular Psychiatry, 2022, p1--13Journal Article, 2022
• Cao, Zhipeng and Cupertino, Renata B and Ottino-Gonzalez, Jonatan and Murphy, Alistair and Pancholi, Devarshi and Juliano, Anthony and Chaarani, Bader and Albaugh, Matthew and Yuan, Dekang and Schwab, Nathan and others, Cortical profiles of numerous psychiatric disorders and normal development share a common pattern, Molecular Psychiatry, 2022, p1--12Journal Article, 2022
• Moguilner, Sebastian and Whelan, Robert and Adams, Hieab and Valcour, Victor and Tagliazucchi, Enzo and Ibanez, Agustin, Visual Deep Learning of Unprocessed Neuroimaging Characterizes Dementia Subtypes and Generalizes Across Non-Stereotypic Samples, Available at SSRN 4264850Journal Article
• Schumann, Gunter and XU, JIAYUAN and Liu, Xiaoxuan and Ing, Alex and LI, QIAOJUN and Qin, Wen and Guo, Lining and Huang, Conghong and Chen, Jingliang and Wang, Meiyun and others, Satellite Imaging of Global Urbanicity relates to Brain and Behavior in Young People, 2021Journal Article, 2021
• Korologou-Linden, Roxanna and Xu, Bing and Coulthard, Elizabeth and Walton, Esther and Wearn, Alfie and Hemani, Gibran and White, Tonya and Cecil, Charlotte and Sharp, Tamsin and Tiemeier, Henning and others, The bidirectional causal effects of brain morphology across the life course and risk of Alzheimer†s disease: A cross-cohort comparison and Mendelian randomization meta-analysis, medRxiv, 2021Journal Article, 2021
• Backhausen, Lea L and Fr{\"o, Adolescent to young adult longitudinal development of subcortical volumes in two European sites with four waves, bioRxiv, 2021Journal Article, 2021
• Wendel, Lena Kristin and Daedelow, Laura and Kaminski, Jakob and Banaschewski, Tobias and Millenet, Sabina and Bokde, Arun LW and Quinlan, Erin Burke and Desrivi{\`e, Residual effects of cannabis-use on neuropsychological functioning, Cognitive Development, 59, 2021, p101072Journal Article, 2021
• Shin, Jean and Ma, Shaojie and Hofer, Edith and Patel, Yash and Roshchupkin, Gennady V and Sousa, Andre M and Jian, Xueqiu and Gottesman, Rebecca and Mosley, Thomas H and Fornage, Myriam and others, Planar cell polarity pathway and development of the human visual cortex, bioRxiv, 2019, p404558Journal Article, 2019
• Elkrief, Laurent and Lin, Bochao and Marchi, Mattia and Afzali, Mohammad H and Banaschewski, Tobias and Bokde, Arun LW and Quinlan, Erin Burke and Desrivi{\`e, Independent contribution of polygenic risk for schizophrenia and cannabis use in predicting psychotic-like experiences in young adulthood: testing gene$\times$ environment moderation and mediation, Psychological Medicine, 2021, p1--11Journal Article, 2021
• R. Walsh, R. Whelan, J.P. O'Dwyer, S. O'Riordan, S. Hutchinson, R. O'Laoide, K. Malone, R. Reilly, M. Hutchinson, Striatal morphology correlates with sensory abnormalities in unaffected relatives of cervical dystonia patients, Journal of Neurology, 256, (8), 2009, p1307-1313Journal Article, 2009, DOI
• Whelan, R, Lonergan, R, Kiiski, H, Nolan, H, Kinsella, K, Hutchinson, M, Tubridy, N, Reilly, RB, Impaired information processing speed and attention allocation in multiple sclerosis patients versus controls: A high-density EEG study, Journal of the Neurological Sciences, 293, (1-2), 2010, p45-50Journal Article, 2010, TARA - Full Text
• Whelan R, Lonergan R, Kiiski H, Nolan H, Kinsella K, Bramham J, O'Brien M, Reilly RB, Hutchinson M, Tubridy N, A high-density ERP study reveals latency, amplitude, and topographical differences in multiple sclerosis patients versus controls., Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 121, (9), 2010, p1420-1426Journal Article, 2010, DOI , TARA - Full Text
• Bradley D, Whelan R, Walsh R, Reilly RB, Hutchinson S, Molloy F, Hutchinson M, Temporal discrimination threshold: VBM evidence for an endophenotype in adult onset primary torsion dystonia., Brain, 132, (Pt 9), 2009, p2327-2335Journal Article, 2009, DOI , URL , TARA - Full Text
• Nolan H, Whelan R, Reilly R.B, FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection, Journal of Neuroscience Methods, 192, (1), 2010, p152-162Journal Article, 2010, DOI , TARA - Full Text
• Simon Dymond, Michael W Schlund, Bryan Roche, Robert Whelan, Jennifer Richards, Cara Davies, Inferred Threat and Safety: Symbolic Generalization of Human Avoidance Learning, Behaviour Research and Therapy, 49, (10), 2011, p614 - 621Journal Article, 2011, DOI , URL , TARA - Full Text
• Benjamin Thyreau, Yannick Schwartz, Bertrand Thirion, Vincent Frouin, Eva Loth, Sabine Vollsätdt-Klein, Tomas Paus, Eric Artiges, Patricia J. Conrod, Gunter Schumann, Robert Whelan, Jean-Baptiste Poline, Very large fMRI study using the IMAGEN database: sensitivity - specificity and population effect modelling in relation to the underlying anatomy, NeuroImage, 61, (1), 2012, p295 - 303Journal Article, 2012, DOI , URL , TARA - Full Text
• Whelan, R, Conrod, P.J., Poline, J.B., Lourdusamy, A., Banaschewski, T, Barker, G. J., Bellgrove, M. A., Büchel, C., Byrne, M., Cummins, T.D.R., Fauth-Bühler, M., Flor, H., Gallinat J., Heinz, A., Ittermann, B., Mann, K., Martinot, J.L., Lalor, E.C., Lathrop, M., Loth, E., Nees, F., Paus, T., Rietschel, M., Smolka, M. N., Spanagel, R., Stephens, D.N., Struve, M., Thyreau, B., Vollstaedt-Klein, S., Robbins, T.W., Schumann, G., Garavan, H and the IMAGEN consortium., Adolescent impulsivity phenotypes characterized by distinct brain networks., Nature Neuroscience, 15, (6), 2012, p920 - 925Journal Article, 2012, URL
• Kiiski H, Reilly RB, Lonergan R, Kelly S, O'Brien MC, Kinsella K, Bramham J, Burke T, O Donnchadha S, Nolan H, Hutchinson M, Tubridy N, Whelan R, Only low frequency event-related EEG activity is compromised in multiple sclerosis: insights from an independent component clustering analysis., PloS one, 7, (9), 2012, pe45536Journal Article, 2012, DOI
• Nolan H, Butler JS, Whelan R, Foxe JJ, Bülthoff HH, Reilly RB, Neural correlates of oddball detection in self-motion heading: a high-density event-related potential study of vestibular integration., Experimental brain research. Experimentelle Hirnforschung. Expérimentation cérébrale, 219, (1), 2012, p1-11Journal Article, 2012, DOI
• Bradley D, Whelan R, Kimmich O, O'Riordan S, Mulrooney N, Brady P, Walsh R, Reilly RB, Hutchinson S, Molloy F, Hutchinson M, Temporal discrimination thresholds in adult-onset primary torsion dystonia: an analysis by task type and by dystonia phenotype., Journal of neurology, 259, (1), 2012, p77-82Journal Article, 2012, DOI
• Kimmich O, Bradley D, Whelan R, Mulrooney N, Reilly RB, Hutchinson S, O'Riordan S, Hutchinson M, Sporadic adult onset primary torsion dystonia is a genetic disorder by the temporal discrimination test., Brain : a journal of neurology, 134, (Pt 9), 2011, p2656-63Journal Article, 2011, DOI
• Kiiski H, Reilly RB, Lonergan R, Kelly S, O'Brien M, Kinsella K, Bramham J, Burke T, O'Donnchadha S, Nolan H, Hutchinson M, Tubridy N, Whelan R, Change in PASAT performance correlates with change in P3 ERP amplitude over a 12-month period in multiple sclerosis patients., Journal of the neurological sciences, 305, (1-2), 2011, p45-52Journal Article, 2011, DOI
• Kiiski H, Whelan R, Lonergan R, Nolan H, Kinsella K, Hutchinson M, Tubridy N, Reilly RB, Preliminary evidence for correlation between PASAT performance and P3a and P3b amplitudes in progressive multiple sclerosis., European journal of neurology : the official journal of the European Federation of Neurological Societies, 18, (5), 2011, p792-5Journal Article, 2011, DOI
• Hutchinson M, Kimmich O, Molloy A, Whelan R, Molloy F, Lynch T, Healy DG, Walsh C, Edwards MJ, Ozelius L, Reilly RB, O'Riordan S, The endophenotype and the phenotype: Temporal discrimination and adult-onset dystonia., Movement disorders : official journal of the Movement Disorder Society, 28, (13), 2013, p1766-74Journal Article, 2013, DOI
• Ó Donnchadha S, Burke T, Bramham J, O'Brien MC, Whelan R, Reilly R, Kiiski H, Lonergan R, Kinsella K, Kelly S, McGuigan C, Hutchinson M, Tubridy N, Symptom overlap in anxiety and multiple sclerosis., Multiple sclerosis (Houndmills, Basingstoke, England), 19, (10), 2013, p1349-54Journal Article, 2013, DOI
• Hutchinson M, Kimmich O, Molloy, A. Whelan R, Williams L, Bradley D, Balsters J, Molloy F, Lynch T, Healy D, Walsh C, O'Riordan S, Reilly R, Temporal discrimination, a cervical dystonia endophenotype penetrance and functional correlates, Movement Disorders, 29, (6), 2014, p804-Journal Article, 2014, DOI , TARA - Full Text
• Whelan R, Watts R, Orr CA, Althoff RR, Artiges E, Banaschewski T, Barker GJ, Bokde ALW, Büchel C, Carvalho FM, Conrod PJ, Flor H, Fauth-Bühler M, Frouin V, Gallinat J, Gan G, Gowland P, Heinz A, Ittermann B, Lawrence C, Mann K, Martinot JL, Nees F, Ortiz N, Paillère-Martinot ML, Paus T, Pausova Z, Rietschel M, Robbins TW, Smolka MN, Ströhle A, Schumann G, Garavan H; IMAGEN Consortium, Neuropsychosocial profiles of current and future adolescent alcohol misusers., Nature, 512, (7513), 2014, p185 - 189Journal Article, 2014, DOI , TARA - Full Text
• Montigny C, Castellanos-Ryan N, Whelan R, Banaschewski T, Barker GJ, Büchel C, Gallinat J, Flor H, Mann K, Paillère-Martinot ML, Nees F, Lathrop M, Loth E, Paus T, Pausova Z, Rietschel M, Schumann G, Smolka MN, Struve M, Robbins TW, Garavan H, Conrod PJ, A phenotypic structure and neural correlates of compulsive behaviors in adolescents., PloS one, 8, (11), 2013, pe80151Journal Article, 2013, DOI , TARA - Full Text

• Robert Whelan, Commentary on Afzali et al . (2019): Two data sets are better than one, Addiction, 114, (4), 2019, p672--673Journal Article
• Whelan, R., In response: Psychology is a behavioral science, not a biological science, by Gary Greenberg and Charles Lambdin-correct conclusion, unsound arguments, Psychological Record, 58, (2), 2008, p315-318Journal Article
• Rubén Herzog, Fernando E Rosas, Robert Whelan, Sol Fittipaldi, Hernando Santamaria-Garcia, Josephine Cruzat, Agustina Birba, Sebastian Moguilner, Enzo Tagliazucchi, Pavel Prado, Agustin Ibanez, Genuine high order interactions in brain networks and neurodegeneration, Neurobiology of Disease, 175, 2022Journal Article

• Title

  Development and validation of objective measures of brain maintenance and cognitive reserve
  Summary

  Note: the original title of the grant was 'Effects of a mobile biofeedback device for stress management' Age-related cognitive decline is an increasingly important societal issue, given projected increases in the proportion of older adults in the coming decades. Early identification of cognitive decline will enable earlier interventions which have a greater likelihood of slowing decline, maintaining quality of life, and reducing the burden on caregivers and society. The application of machine learning to neuroimaging data is a promising strategy to detect age-related cognitive decline. However, there has been little emphasis on the development of measures of two related, yet separable, constructs " brain maintenance and cognitive reserve " both of which support cognitive function as we age. Accurate measurement of these two constructs may improve our ability to detect age-related cognitive decline.
  Funding Agency

  Irish Research Council
• Title

  Understanding the mechanism of action of methylphenidate in ADHD: A computational psychiatry approach
  Summary

  Approximately 1-in-20 children worldwide have Attention Deficit Hyperactivity Disorder (ADHD), a condition associated with disabling inattention, hyperactivity and impulsivity. These problems can manifest as poor inhibitory control (e.g., difficulty holding back impulsive actions) and atypical reward processing (e.g., failing to learn from negative outcomes). Poorly treated ADHD is associated with negative academic and socioeconomic consequences. This project aims to ultimately improve clinical management of children with ADHD. Methylphenidate, a stimulant medication, is used as the first-option pharmacological treatment for ADHD and often successfully reduces problem behaviour. Although Methylphenidate can be extremely effective, it does not work for every child. There is currently no `objective" way (e.g., blood test or brain scan) to measure if a child is genuinely responding to Methylphenidate. Instead, clinicians must rely on reports from parents and teachers, an approach that is problematic and that often leads to delays in optimising ADHD treatment. The absence of a biological test to quantify Methylphenidate response is primarily because we do not understand exactly how Methylphenidate changes behaviours to produce the known beneficial effects. This lack of knowledge is despite the very common use of this medication. This project will investigate the specific brain processes that are affected by Methylphenidate by recording brain activity and behaviour in children with ADHD (who have already been prescribed Methylphenidate as part of their clinical care) when they are on and off this medication. Brain activity will be recorded using two separate approaches, which are both non-invasive and routinely used in Trinity College Institute of Neuroscience: electroencephalography (EEG) and functional magnetic resonance imaging (fMRI). Brain activity data will be collected while children with ADHD are performing two computer-game like tasks. One task measures the child"s ability to hold back impulsive actions (inhibition) and the other assesses how they learn from positive and negative outcomes (reward processing). The data from the two tasks, the EEG recording and the fMRI scan will be analysed using advanced computer-modelling approaches to determine exactly how Methylphenidate changes behaviour. This project is important because if we can understand the brain mechanisms affected by Methylphenidate, we can ultimately develop a computerised measure that will allow clinicians to predict whether a child is going to respond to this treatment or not. Such a measure would allow clinicians to treat ADHD more effectively and would result in children with ADHD experiencing faster relief from symptoms.
  Funding Agency

  TCD Provost Award
  Date From

  March 2022
  Date To

  Feb 2026
• Title

  Predicting who will respond to stimulant medication in ADHD: A precision medicine approach using neurally informed computational models
  Summary

  This project uses precision medicine to improve treatment of childhood Attention Deficit Hyperactivity Disorder (ADHD). Methylphenidate is the first-line pharmacological treatment but there is wide individual variation in outcomes: 30% of children will have no clinically meaningful response. There is currently no validated objective, quantitative method for predicting who will ultimately respond. We propose to use neurally informed computational models derived from behaviour and electroencephalography to decompose medication effects on distinct neural mechanisms. Our industry collaborators, Cumulus Neuroscience, have developed dry-sensor electroencephalography headsets allowing users to obtain data at home. Their cloud-based software can automatically process large amounts of electroencephalographic data. We will recruit 300 medication-naive patients (ages 10-14) from ADHD services led by co-PI McGrath and our collaborators. Tasks will be gamified to maintain engagement. Interrogating this immense amount of data will be solved by using computational model parameters as inputs into machine learning algorithms. The goal will be to identify neurocognitive processes predicting who will respond clinically to methylphenidate. Two PhD students and a research assistant will be recruited. This project can significantly enhance quality of life of those with ADHD. The approach outlined here can be a new sector in the precision medicine field.
  Funding Agency

  Science Foundation Ireland
  Date From

  1st December 2021
  Date To

  End November 2025
• Title

  Alzheimer's Disease Prediction Service (ADPS): digital biomarker for Real-World Evidence (RWE) in AD
  Summary

  According to the 2014 Alzheimer report, only 35% of dementia cases are diagnosed early enough. Although experts realize the potential of functional screening biomarkers, such as virtual reality (VR), augmented reality (AR) or activity tracking (AT) technologies in dementia prediction routine examination is not carried out until symptoms appear and significant brain damage is already done. On the other hand, enough data from mobile phone, in-house or driving activity sensors are available today to assess the earliest possible functional and navigation deficiencies and assist early prediction of dementia or other neurodegenerative disease decades in advance. This project builds on previous datasets group, with 2.700 patients and 87-94% diagnostic accuracy of predicting Alzheimer"s up to 6 years in advance. Early information enables prevention. Its objective is to evaluate the accuracy and performance of an ADPS prototype, that continuously tracks everyday cognition, combines different mobile phone activity data layers using machine learning techniques, to estimate the risk of developing Alzheimer"s disease.
  Funding Agency

  EU: EIT Health
• Title

  Using gamified mobile dry-EEG technology to detect the acute and delayed effects of methylphenidate on brain activity and cognition in an ADHD population
  Summary

  Children and adolescents with Attention Deficit Hyperactivity Disorder (ADHD) are often treated by administering a stimulant medication " methylphenidate (MPH - Ritalin is a common brand). However, the response to this treatment is highly variable. Currently, there is no way to predict for who this treatment will be effective. We propose to address this problem by utilizing a new sophisticated methodological approach of repeated cognitive testing coupled with large scale brain recordings via electroencephalography. In this project, participants will take portable dry EEG headsets in the home and remotely record their own brain activity while playing gamified cognitive tasks. We will then interrogate brain and behavioural data using machine learning with the goal of identifying the variables that will predict treatment responsiveness.
  Funding Agency

  Irish Research Council
• Title

  Application of computational modelling to identify substance-use trajectories in adolescents
  Summary

  The goal of this project is to use mathematical models to improve our understanding of brain functioning, which can ultimately inform brain-inspired computing. The project"s goal will be achieved by applying these models to two very large neuroimaging datasets that focus on substance use and adolescent brain development.
  Funding Agency

  China Scholarship Council
  Date From

  Sept 2020
  Date To

  August 2024
• Title

  Developing a novel intervention to target addictive behaviours by improving inhibitory control through EEG-based brain-computer interface
  Summary

  Response inhibition is the ability to flexibly suppress unwanted or inappropriate actions, and it is a core component of healthy executive control. Impaired response inhibition is characteristic of a wide range of psychiatric diseases and of normal ageing. The underlying neural mechanisms of response inhibition have been researched intensively over the past two decades. It is hypothesised that the right inferior frontal cortex (rIFC) plays a key role by inhibiting the motor cortex via the basal ganglia and thalamus. It is thought that communication in this network is facilitated through Beta oscillations. While the vast majority of literature has investigated averaged Beta power, recent literature suggested that Beta oscillations are characterised by short-lasting, transient `Beta bursts", and only appears to change in sustained amplitude if it is averaged over many trials. However, the detailed functional roles of Beta oscillations and the involved anatomical structures in response inhibition are still unclear. Studies using bigger sample sizes as well as different experimental and analysis methods are necessary to identify generalisable findings which can meaningfully inform potential therapeutic interventions and impact their success. Thus, the overarching aim of this thesis was to advance the existing knowledge of the role of Beta oscillations in response inhibition by using methods designed to establish predictive and causal relationships.
  Funding Agency

  Irish Research Council
• Title

  IMPETUS: Investigating Markers derived from Proteomics for Estimation of Transition from the Ultra high risk State to psychotic disorder
  Summary

  Early identification and intervention are associated with improved outcome for psychotic disorders such as schizophrenia. This is facilitated by targeting people at clinical-high-risk (CHR) for psychosis. There is growing evidence on the involvement of the immune system and inflammation in psychotic disorders. We have added to the literature by demonstrating that the complement pathway " the blood plasma component of the innate immune system " is dysregulated in blood samples of individuals at age 11. This is many years before individuals report symptoms in keeping with psychotic disorder (PD) at age 17. Based on our own plasma proteomic data and machine learning analyses we have evidence for a set of biomarker proteins which can predict transition from CHR to PD with a high degree of accuracy. We now seek to refine and replicate these findings. Using state-of-the-art proteomic methods and machine learning approaches we will replicate and refine this biomarker signature of transition from CHR to PD in: three distinct international samples one longitudinal cohort with a total sample size of more than 1,000 CHR subjects. We will also undertake functional assays that measure plasma protein levels of the complement and coagulation pathway and their activation fragments as indicators of complement and coagulation dysregulation.
  Funding Agency

  Wellcome Trust
• Title

  Investigating a digital biomarker of Alzheimer"s Disease using Augmented Reality
  Summary

  Background: Alzheimer"s disease (AD) and dementia affect 46.8 million people worldwide, with an estimated increase of 7.6 million new cases every year [1]. The average annual costs of care per patient are US$9,829 in the U.S.A. and €7,820 in Europe, with annual costs doubling for patients at the severe dementia stages [2]. Due to the high impact that AD has on society, neuro-behavioral research into the core pathogenical processes underlying AD will be imperative to establish prevention methods that decrease or delay the onset of the disease. Current diagnostic measures of AD are invasive (cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming (neuropsychological assessment) and thus have limited accessibility as frontline screening and diagnostic tools. Aim: This project will develop a novel computational biomarker of AD that can be identified via mobile devices. This technology may facilitate early detection and more effective therapeutic and preventative strategies for AD. Methods: A large sample (N = 60) of at-risk older adults (scoring below the average on age-related cognitive tests and with a first-degree relative with a diagnosis of AD) will be assessed longitudinally (at baseline, 9-month, and 18-month follow-up; Total Assessments N = 180). A comprehensive battery of biological, neurophysiological and cognitive measures will be administered to assay cognitive functioning longitudinally. Assessments will centre on an augmented reality smartphone application (designed by Altoida) that measures spatial navigational within a virtual arena. Outcome and Impact: Given the complex nature of AD pathophysiology, the optimal prediction models for future development of AD may come from longitudinal monitoring of relevant cognitive processes. Due to the demand for early diagnosis at a preclinical and early symptomatic level, this research will ultimately impact clinicians seeking more specific and targeted diagnoses of AD.
  Funding Agency

  Irish Research Council
• Title

  Identifying individualised EEG biomarkers of mild cognitive impairment (MCI) in older adults using a novel gamified approach and wireless EEG
  Summary

  Background: Mild Cognitive Impairment (MCI) is a common condition in older adults marked by a deterioration in cognitive function greater than expected for an individual"s age. It is regarded as a prodromal stage for dementia; 20-40% of all MCI patients going on to develop the disease. Early detection of MCI is therefore of vital importance for improving diagnostics and preventative care strategies for individuals at increased risk for dementia. The problem: The identification of neurological and cognitive makers that predict MCI has been hindered by methodological and analytical limitations. Namely, neurophysiological data is highly sensitive and suffers from poor signal-to-noise ratio. Further, status-quo statistical methods cannot provide translational measurements that indicate an individual"s likelihood of developing MCI. Project rationale: Recent advances in brain signal measurement and analysis provide new opportunities to address these concerns. Wireless, dry (no electroconductive gel) electroencephalography (EEG), virtual reality gamification and machine learning all represent a new frontier for research into MCI. Aims: Taking advantage of these state-of-the-art methods, we propose to (1) build a neurocognitive profile of older adults at risk of developing MCI and (2) identify individual biomarkers for cognitive impairment in old age. Method: A fully gamified neurocognitive task battery (with 3D graphics and sounds) will be used in conjunction with wireless EEG to investigate cognitive function in normative and at-risk groups of older adults. In addition to group comparisons, data will be interrogated using tailored machine learning algorithms to isolate neural signals that are maximally predictive of MCI. Impact: This project promises to deliver novel insights into the neurocognitive factors underlying age-related cognitive decline. Specifically, results will identify individualised neurological and cognitive makers predictive MCI in older adults. The isolation of these biomarkers also has the potential to inform brain training interventions aimed at preserving cognitive function. In addition, biomarkers may also be employed as a clinical endpoint in future drug trials for MCI/dementia.
  Funding Agency

  Irish Research Council
• Title

  Mindfulness-based interventions for substance misuse: Harnessing predictive models for successful treatment response and relapse prevention
  Summary

  Substance misuse is responsible - directly and indirectly - for approximately 11.8 million deaths worldwide each year. Alcohol misuse alone accounts for 3 million deaths per year, representing 5.3% of all deaths worldwide. One challenge in studying substance misuse includes its interaction with other mental health issues. Researchers have repeatedly demonstrated high co-morbidity of substance misuse with both anxiety and depression, but many other psychological risk factors have been observed, including impulsivity, trauma, experiential avoidance, craving, difficulties regulating emotions, and negative affect. Whilst these may look like a divergent set of variables, they all share a similar component: avoiding mental and emotional pain. In contrast to avoidance, mindfulness involves staying present with thoughts, feelings, and bodily sensations. It"s not surprising, therefore, that researchers have found mindfulness-based interventions to be effective for treating substance-based disorders, and studies have identified several mechanisms of change, including emotion-driven impulsivity, negative affect, acting with awareness, emotion regulation, and craving.
  Funding Agency

  Irish Research Council
• Title

  Tracking Trajectories of Psychopathology from Infancy to Young Adulthood: an Irish national longitudinal cohort study
  Summary

  Mental illness is the leading cause of disability among young people accounting for nearly half of the overall burden of disease between 10 and 24 years of age. It is estimated that by 2030 mental illness will have a greater global economic impact than any other medical condition. Unfortunately, prevention research into mental illness has lagged far behind conditions such as cardiovascular disease and cancer. 75% of mental disorders have already started in some form before age 25. This developmental timing of onset of mental disorder in youth (unlike other illnesses ) means that there is a disproportionate effect on social, educational and vocational outcomes and contributes to the global economic burden. There is an urgent need for a new approach to tackle mental disorder among young people but there is a paucity of evidence about the etiological mechanisms and presentation of mental illness in youth. Current diagnostic systems are based on adult disorder but early presentations are often undifferentiated and don"t correspond to classical diagnostic systems. This poses challenges for early intervention. This current proposal seeks to investigate, in a large population-based cohort, the presentation, etiological mechanisms, developmental course and outcomes of psychological symptoms in youth. The Growing Up in Ireland study has data on almost 20,000 young people in Ireland in two related cohorts who have been followed up over 12 years. This cohort is the result of a large investment by the Irish government. We will use advanced statistical techniques to model the clustering and progression of psychopathology from early childhood to early adulthood. We have a detailed a progressive dissemination plan to communicate the results of our findings to young people, the public, service providers and policy makers. In this way the information will benefit the lives of young people not just in Ireland but internationally.
  Funding Agency

  Health Research Board
• Title

  Developing a Patient and Public Voice (PPV) Program for the Global Brain Health Institute: At home and beyond
  Summary

  The concept of Patient and public voice (PPV; also known as `patient and public involvement", PPI) is designed to foster a meaningful and active partnership between the public and researchers. Active involvement may take the form of consultation, collaboration or user control (Boote et al., 2015). Examples include public involvement in prioritizing research, advising on a research project, assisting in the design of a project, or in carrying out the research (e.g., INVOLVE UK:2015, www.invo.org.uk/)researchers should involve patients and the public at all stages of the research cycle (INVOLVE. Briefing notes:2012), including formulating the research question. In countries such as the United Kingdom, PPV is a requirement to obtain research support from many funders (Department of Health, 2005), is necessary for ethical approval of human research (Iliffeet al 2013) and is likely to become a standard requirement for research. While to date fellows at UCSF have had the opportunity to interact with the Memory and Aging Centre"s (MAC) Family Advisory Council (FAC), this has not been a core part of the fellowship across both sites. There is both a need and an opportunity to enhance the learning experience in this space in a cross-site fashion. In this application, we propose a two-year development project to work with a Patient and Public Voice (PPV) panel for the two sites (TCD and UCSF) of GBHI, fully aligned with GBHI"s learning and research goals. Including PPV in the Global Brain Health Institute (GBHI) fellowship experience will foster the GBHI values of equity and promote person-centred research and practice.
  Funding Agency

  Global Brain Health Institute (GBHI)
  Date From

  Start 2021
  Date To

  End 2022
• Title

  Behavioural and brain correlates of adaptive coding in multisensory object categorisation
  Summary
  Funding Agency

  Science Foundation Ireland
• Title

  SFI Rapid Response Supplemental Grant for Displaced Researchers - Ukraine 20/FFP-P/8615 (S1)
  Summary

  Our project uses a precision medicine approach to predict treatment response to stimulant medication in adolescents with ADHD. There are three novel aspects to this project relevant to this supplemental funding. First, we are developing gamified neurocognitive tasks to maintain engagement and interest of participants (essentially, applying principles from video game development to established laboratory tasks). Second, we will apply " at scale (~2,400 sessions) " sophisticated computational methods to the brain and behaviour data. Third, we are committed to making materials from this project accessible to the research community, adhering to FAIR principles. Dr Revenko is an experienced researcher with skills that perfectly match these three novel aspects, with experience in computational modeling and software development (including game development).
  Funding Agency

  Science Foundation Ireland
  Date From

  7th November 2022
  Date To

  6th November 2023

Artificial intelligence and machine learning, Neurosciences, Medical and biomedical engineering, Medical, health and life sciences, Psychology and cognitive sciences, Clinical and health psychology,

• Outstanding PhD thesis in Social Sciences 2004
• Elected as a Fellow of Trinity College Dublin 2020

• Neuroscience Ireland now
• Organization for Human Brain Mapping now

• I am on the International Advisory Board of the Latin American Brain Health Institute (BrainLat) , which aims to empower innovative brain health research leaders across Latin America, in collaboration with leading centers worldwide. BrainLat seeks to transcend disciplinary boundaries, forge groundbreaking investigation, and reduce the regional impact of dementia. 2022-now
• External PhD examiner for the University of Wurzburg in 2018 ('Developmental aspects of fear learning and fear generalization') 2018
• I am currently an Associate Editor for Science Advances (since 2020), the American Association for the Advancement of Science's (AAAS) open access multidisciplinary journal (impact factor 14). As an editor, I triage manuscripts and oversee the review process. I handle manuscripts that cover a broad range of neuroscience research, and editors have acknowledged breadth in recognizing and promoting interdisciplinary collaborations. As part of this role I periodically contribute to the `This week in Science' section in Science Magazine. 2020