|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
|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
|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
|Neuromarkers for mental disorders: harnessing population neuroscience|
L Jollans, R Whelan
Frontiers in psychiatry 9, 242, 2018
|The effects of a single whole-body cryotherapy exposure on physiological, performance, and perceptual responses of professional academy soccer players after repeated sprint …|
M Russell, J Birch, T Love, CJ Cook, RM Bracken, T Taylor, E Swift, ...
The Journal of Strength & Conditioning Research 31 (2), 415-421, 2017
|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
|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 (3), 346-363, 2018
|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 (1), 327-345, 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
|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
|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
|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
|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
|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
|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, 2019
|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
|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
|P. 232 Cortical thickness variation in major depressive disorder is indicative of symptom profiles: a data-driven approach|
L Jollans, P Sämann, N Rost, T Brückl, E Binder
European Neuropsychopharmacology 31, S42-S43, 2020
|Stress-primed secretory autophagy drives extracellular BDNF maturation|
S Martinelli, EA Anderzhanova, S Wiechmann, F Dethloff, K Weckmann, ...
|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