| Quantifying performance of machine learning methods for neuroimaging data L Jollans, R Boyle, E Artiges, T Banaschewski, S Desrivières, A Grigis, ... NeuroImage 199, 351-365, 2019 | 139 | 2019 |
| Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis R Boyle, L Jollans, LM Rueda-Delgado, R Rizzo, GG Yener, ... Brain imaging and behavior 15, 327-345, 2021 | 79 | 2021 |
| Stress-primed secretory autophagy promotes extracellular BDNF maturation by enhancing MMP9 secretion S Martinelli, EA Anderzhanova, T Bajaj, S Wiechmann, F Dethloff, ... Nature Communications 12 (1), 4643, 2021 | 64 | 2021 |
| Neuromarkers for mental disorders: harnessing population neuroscience L Jollans, R Whelan Frontiers in psychiatry 9, 312450, 2018 | 61 | 2018 |
| Neural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology L O'Halloran, Z Cao, K Ruddy, L Jollans, MD Albaugh, A Aleni, AS Potter, ... Neuroimage 169, 395-406, 2018 | 56 | 2018 |
| The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes TM Brückl, VI Spoormaker, PG Sämann, AK Brem, L Henco, D Czamara, ... BMC psychiatry 20, 1-25, 2020 | 45 | 2020 |
| Machine learning EEG to predict cognitive functioning and processing speed over a 2-year period in multiple sclerosis patients and controls H Kiiski, L Jollans, SÓ Donnchadha, H Nolan, R Lonergan, S Kelly, ... Brain topography 31, 346-363, 2018 | 41 | 2018 |
| The potential of neuroimaging for identifying predictors of adolescent alcohol use initiation and misuse L O'Halloran, C Nymberg, L Jollans, H Garavan, R Whelan Addiction 112 (4), 719-726, 2017 | 33 | 2017 |
| The clinical added value of imaging: a perspective from outcome prediction L Jollans, R Whelan Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 1 (5), 423-432, 2016 | 32 | 2016 |
| Embracing diversity and inclusivity in an academic setting: Insights from the Organization for Human Brain Mapping A Tzovara, I Amarreh, V Borghesani, MM Chakravarty, E DuPre, ... Neuroimage 229, 117742, 2021 | 26 | 2021 |
| Brain event-related potentials predict individual differences in inhibitory control LM Rueda-Delgado, L O'Halloran, N Enz, KL Ruddy, H Kiiski, M Bennett, ... International journal of psychophysiology 163, 22-34, 2021 | 22 | 2021 |
| Ventral striatum connectivity during reward anticipation in adolescent smokers L Jollans, C Zhipeng, I Icke, C Greene, C Kelly, T Banaschewski, ... Developmental neuropsychology 41 (1-2), 6-21, 2016 | 22 | 2016 |
| A combination of impulsivity subdomains predict alcohol intoxication frequency L O'Halloran, B Pennie, L Jollans, H Kiiski, N Vahey, L Rai, L Bradley, ... Alcoholism: Clinical and Experimental Research 42 (8), 1530-1540, 2018 | 19 | 2018 |
| Computational EEG Modelling of Decision Making Under Ambiguity Reveals Spatio-Temporal Dynamics of Outcome Evaluation L Jollans, R Whelan, L Venables, OH Turnbull, M Cella, S Dymond Behavioural Brain Research, 2016 | 15 | 2016 |
| Inhibitory‐control event‐related potentials correlate with individual differences in alcohol use L O'Halloran, LM Rueda‐Delgado, L Jollans, Z Cao, R Boyle, C Vaughan, ... Addiction biology 25 (2), e12729, 2020 | 13 | 2020 |
| Individual differences in learning from probabilistic reward and punishment predicts smoking status LA Rai, L O'Halloran, L Jollans, N Vahey, C O'Brolchain, R Whelan Addictive behaviors 88, 73-76, 2019 | 8 | 2019 |
| Neuromarkers for Mental Disorders: Harnessing Population Neuroscience. Front Psychiatry. 2018; 9: 242 L Jollans, R Whelan | 4 | 2018 |
| A method for the optimisation of feature selection with imaging data L Jollans, R Watts, D Duffy, P Spechler, H Garavan, R Whelan, ... Poster presented at the Organisation of Human Brain Mapping Annual Meeting, 2015 | 4 | 2015 |
| Stress-primed secretory autophagy drives extracellular BDNF maturation S Martinelli, EA Anderzhanova, S Wiechmann, F Dethloff, K Weckmann, ... bioRxiv, 2020.05. 13.090514, 2020 | 1 | 2020 |
| Predicting future drinking among young adults: using ensemble machine-learning to combine MRI with psychometrics and behaviour MM Groefsema, M Luijten, RCME Engels, G Sescousse, L Jollans bioRxiv, 2020.03. 03.974931, 2020 | 1 | 2020 |
Robert WhelanProfessor, Global Brain Health Institute, School of Psychology, TCIN, Trinity College DublinGeverifieerd e-mailadres voor tcd.ie
