Professor Robert Whelan

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Boyle R, Knight SP, De Looze C, Carey D, Scarlett S, Stern Y, Robertson IH, Kenny RA, Whelan R., Verbal intelligence is a more robust cross-sectional measure of cognitive reserve than level of education in healthy older adults., Alzheimer's research & therapy, 13, (1), 2021, p128Journal Article, 2021, DOI , TARA - Full Text
• Plini ERG, O'Hanlon E, Boyle R, Sibilia F, Rikhye G, Kenney J, Whelan R, Melnychuk MC, Robertson IH, Dockree PM., Examining the Role of the Noradrenergic Locus Coeruleus for Predicting Attention and Brain Maintenance in Healthy Old Age and Disease: An MRI Structural Study for the Alzheimer's Disease Neuroimaging Initiative., Cells, 10, (7), 2021Journal Article, 2021, DOI , TARA - Full Text
• Rebecca J. Hirst, Robert Whelan, Rory Boyle, Annalisa Setti, Silvin Knight, John O'Connor, Wilby Williamson, Jason McMorrow, Andrew J. Fagan, James F. Meaney, Rose Anne Kenny, Céline De Looze, Fiona N. Newell, Gray matter volume in the right angular gyrus is associated with differential patterns of multisensory integration with aging, Neurobiology of Aging, 100, 2021, p83--90Journal Article, 2021
• Zhipeng Cao, Marc Bennett, Laura O'Halloran, Gabija Pragulbickaite, Luke Flanagan, Louise McHugh, Robert Whelan, Aberrant reward prediction errors in young adult at"risk alcohol users, Addiction Biology, 2021Journal Article, 2021
• Kiiski, H., Bennett, M., Rueda-Delgado, L.M., Farina, F.R., Knight, R., Boyle, R., Roddy, D., Grogan, K., Bramham, J., Kelly, C., Whelan, R., EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD, European Journal of Neuroscience, 51, (10), 2020, p2095-2109Journal Article, 2020
• Papanastasiou, E., Mouchlianitis, E., Joyce, D.W., McGuire, P., Boussebaa, C., Banaschewski, T., Bokde, A.L.W., Büchel, C., Quinlan, E., Desrivières, S., Flor, H., Grigis, A., Garavan, H., Spechler, P., Gowland, P., Heinz, A., Ittermann, B., Martinot, M.-L.P., Artiges, E., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Millenet, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Shergill, S.S., Examination of the neural basis of psychotic-like experiences in adolescence during processing of emotional faces, Scientific Reports, 10, (1), 2020Journal Article, 2020
• Kiiski, H., Rueda-Delgado, L.M., Bennett, M., Knight, R., Rai, L., Roddy, D., Grogan, K., Bramham, J., Kelly, C., Whelan, R., Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptoms, Clinical Neurophysiology, 131, (1), 2020, p330-342Journal Article, 2020
• Modabbernia, A., Reichenberg, A., Ing, A., Moser, D.A., Doucet, G.E., Artiges, E., Banaschewski, T., Barker, G.J., Becker, A., Bokde, A.L.W., Quinlan, E.B., Desrivières, S., Flor, H., Fröhner, J.H., Garavan, H., Gowland, P., Grigis, A., Grimmer, Y., Heinz, A., Insensee, C., Ittermann, B., Martinot, J.-L., Martinot, M.-L.P., Millenet, S., Nees, F., Orfanos, D.P., Paus, T., Penttilä, J., Poustka, L., Smolka, M.N., Stringaris, A., van Noort, B.M., Walter, H., Whelan, R., Schumann, G., Frangou, S., Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study, Molecular Psychiatry, 2020Journal Article, 2020
• Spechler, P.A., Chaarani, B., Orr, C., Albaugh, M.D., Fontaine, N.R., Higgins, S.T., Banaschewski, T., Bokde, A.L.W., Quinlan, E.B., Desrivières, S., Flor, H., Grigis, A., Gowland, P., Heinz, A., Ittermann, B., Artiges, E., Martinot, M.-L.P., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Hohmann, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Garavan, H., Longitudinal associations between amygdala reactivity and cannabis use in a large sample of adolescents, Psychopharmacology, 2020Journal Article, 2020
• Shen, C., Luo, Q., Jia, T., Zhao, Q., Desrivières, S., Quinlan, E.B., Banaschewski, T., Millenet, S., Bokde, A.L.W., Büchel, C., Flor, H., Frouin, V., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Artiges, E., Paillère-Martinot, M.-L., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Li, F., Feng, J., Schumann, G., Sahakian, B.J., Neural Correlates of the Dual-Pathway Model for ADHD in Adolescents, American Journal of Psychiatry, 177, (9), 2020, p844-854Journal Article, 2020
• Jia, T., Ing, A., Quinlan, E.B., Tay, N., Luo, Q., Francesca, B., Banaschewski, T., Barker, G.J., Bokde, A.L.W., Bromberg, U., Büchel, C., Desrivières, S., Feng, J., 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., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Jia, T., Ing, A., Quinlan, E.B., Francesca, B., Banaschewski, T., Barker, G.J., Bokde, A.L.W., Bromberg, U., Büchel, C., Desrivières, S., Flor, H., Garavan, H., Heinz, A., Ittermann, B., Martinot, J.-L., Nees, F., Nees, F., Paus, T., Poustka, L., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Neurobehavioural characterisation and stratification of reinforcement-related behaviour, Nature Human Behaviour, 4, (5), 2020, p544-558Journal Article, 2020
• Li, J., Liu, B., Banaschewski, T., Bokde, A.L.W., Quinlan, E.B., Desrivières, S., Flor, H., Frouin, V., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Artiges, E., Nees, F., Papadopoulos Orfanos, D., Paus, T., Poustka, L., Hohmann, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Jiang, T., Orbitofrontal cortex volume links polygenic risk for smoking with tobacco use in healthy adolescents, Psychological Medicine, 2020Journal Article, 2020
• Zhang, Z., Robinson, L., Jia, T., Quinlan, E.B., Tay, N., Chu, C., Barker, E.D., Banaschewski, T., Barker, G.J., Bokde, A.L.W., Flor, H., Grigis, A., Garavan, H., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Stringaris, A., Penttilä, J., van Noort, B., Grimmer, Y., Paillère Martinot, M.-L., Isensee, C., Becker, A., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Hohmann, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Schmidt, U., Desrivières, S., Development of Disordered Eating Behaviors and Comorbid Depressive Symptoms in Adolescence: Neural and Psychopathological Predictors, Biological Psychiatry, 2020Journal Article, 2020
• Judd, N., Sauce, B., Wiedenhoeft, J., Tromp, J., Chaarani, B., Schliep, A., van Noort, B., Penttilä, J., Grimmer, Y., Insensee, C., Becker, A., Banaschewski, T., Bokde, A.L.W., Quinlan, E.B., Desrivières, S., Flor, H., Grigis, A., Gowland, P., Heinz, A., Ittermann, B., Martinot, J.-L., Martinot, M.-L.P., Artiges, E., Nees, F., Orfanos, D.P., Paus, T., Poustka, L., Hohmann, S., Millenet, S., Fröhner, J.H., Smolka, M.N., Walter, H., Whelan, R., Schumann, G., Garavan, H., Klingberg, T., Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment, Proceedings of the National Academy of Sciences of the United States of America, 117, (22), 2020Journal Article, 2020
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Moguilner S, Baez S, Hernandez H, Migeot J, Legaz A, Gonzalez-Gomez R, Farina FR, Prado P, Cuadros J, Tagliazucchi E, Altschuler F, Maito MA, Godoy ME, Cruzat J, Valdes-Sosa PA, Lopera F, Ochoa-Gómez JF, Hernandez AG, Bonilla-Santos J, Gonzalez-Montealegre RA, Anghinah R, d'Almeida Manfrinati LE, Fittipaldi S, Medel V, Olivares D, Yener GG, Escudero J, Babiloni C, Whelan R, Güntekin B, Y"r"ko"ullar" H, Santamaria-Garcia H, Lucas AF, Huepe D, Di Caterina G, Soto-Añari M, Birba A, Sainz-Ballesteros A, Coronel-Oliveros C, Yigezu A, Herrera E, Abasolo D, Kilborn K, Rubido N, Clark RA, Herzog R, Yerlikaya D, Hu K, Parra MA, Reyes P, García AM, Matallana DL, Avila-Funes JA, Slachevsky A, Behrens MI, Custodio N, Cardona JF, Barttfeld P, Brusco IL, Bruno MA, Sosa Ortiz AL, Pina-Escudero SD, Takada LT, Resende E, Possin KL, de Oliveira MO, Lopez-Valdes A, Lawlor B, Robertson IH, Kosik KS, Duran-Aniotz C, Valcour V, Yokoyama JS, Miller B, Ibanez A., Brain clocks capture diversity and disparities in aging and dementia across geographically diverse populations., Nature medicine, 2024Journal Article, 2024
• Morgana A. Shirsath , John D. O"Connor , Rory Boyle , Louise Newman , Silvin P. Knight, Belinda Hernandez , Robert Whelan , James F. Meaney, Rose Anne Kenny, Slower speed of blood pressure recovery after standing is associated with accelerated brain aging: Evidence from The Irish Longitudinal Study on Ageing (TILDA), Cerebral Circulation - Cognition and Behavior, 2024, p1-7Journal Article, 2024, DOI , TARA - Full Text
• 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
• 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