Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data SM Smith, M Jenkinson, H Johansen-Berg, D Rueckert, TE Nichols, ... Neuroimage 31 (4), 1487-1505, 2006 | 7313 | 2006 |
Nonparametric permutation tests for functional neuroimaging: a primer with examples TE Nichols, AP Holmes Human brain mapping 15 (1), 1-25, 2002 | 6694 | 2002 |
Thresholding of statistical maps in functional neuroimaging using the false discovery rate CR Genovese, NA Lazar, T Nichols Neuroimage 15 (4), 870-878, 2002 | 5335 | 2002 |
Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference SM Smith, TE Nichols Neuroimage 44 (1), 83-98, 2009 | 5248 | 2009 |
Statistical parametric mapping: the analysis of functional brain images WD Penny, KJ Friston, JT Ashburner, SJ Kiebel, TE Nichols Elsevier, 2011 | 4996 | 2011 |
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates A Eklund, TE Nichols, H Knutsson Proceedings of the national academy of sciences 113 (28), 7900-7905, 2016 | 3663 | 2016 |
Large-scale automated synthesis of human functional neuroimaging data T Yarkoni, RA Poldrack, TE Nichols, DC Van Essen, TD Wager Nature methods 8 (8), 665-670, 2011 | 3528 | 2011 |
Permutation inference for the general linear model AM Winkler, GR Ridgway, MA Webster, SM Smith, TE Nichols Neuroimage 92, 381-397, 2014 | 3468 | 2014 |
Network modelling methods for FMRI SM Smith, KL Miller, G Salimi-Khorshidi, M Webster, CF Beckmann, ... Neuroimage 54 (2), 875-891, 2011 | 2077 | 2011 |
Valid conjunction inference with the minimum statistic T Nichols, M Brett, J Andersson, T Wager, JB Poline Neuroimage 25 (3), 653-660, 2005 | 1981 | 2005 |
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments KJ Gorgolewski, T Auer, VD Calhoun, RC Craddock, S Das, EP Duff, ... Scientific data 3 (1), 1-9, 2016 | 1392 | 2016 |
Controlling the familywise error rate in functional neuroimaging: a comparative review T Nichols, S Hayasaka Statistical Methods in Medical Research 12 (5), 419-446, 2003 | 1391 | 2003 |
Scanning the horizon: towards transparent and reproducible neuroimaging research RA Poldrack, CI Baker, J Durnez, KJ Gorgolewski, PM Matthews, ... Nature reviews neuroscience 18 (2), 115-126, 2017 | 1281 | 2017 |
SARS-CoV-2 is associated with changes in brain structure in UK Biobank G Douaud, S Lee, F Alfaro-Almagro, C Arthofer, C Wang, P McCarthy, ... Nature 604 (7907), 697-707, 2022 | 1174 | 2022 |
Reproducible brain-wide association studies require thousands of individuals S Marek, B Tervo-Clemmens, FJ Calabro, DF Montez, BP Kay, ... Nature 603 (7902), 654-660, 2022 | 1158 | 2022 |
Functional connectomics from resting-state fMRI SM Smith, D Vidaurre, CF Beckmann, MF Glasser, M Jenkinson, KL Miller, ... Trends in cognitive sciences 17 (12), 666-682, 2013 | 1026 | 2013 |
Placebo effects mediated by endogenous opioid activity on µ-opioid receptors JK Zubieta, JA Bueller, LR Jackson, DJ Scott, Y Xu, RA Koeppe, ... The Journal of neuroscience 25 (34), 7754, 2005 | 1025 | 2005 |
Handbook of functional MRI data analysis RA Poldrack, JA Mumford, TE Nichols Cambridge University Press, 2024 | 1020 | 2024 |
Variability in the analysis of a single neuroimaging dataset by many teams R Botvinik-Nezer, F Holzmeister, CF Camerer, A Dreber, J Huber, ... Nature 582 (7810), 84-88, 2020 | 919 | 2020 |
Common genetic variants influence human subcortical brain structures DP Hibar, JL Stein, ME Renteria, A Arias-Vasquez, S Desrivières, ... Nature 520 (7546), 224-229, 2015 | 845 | 2015 |