Seuraa
Thomas E. Nichols
Thomas E. Nichols
University of Oxford
Vahvistettu sähköpostiosoite verkkotunnuksessa bdi.ox.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
71362006
Nonparametric permutation tests for functional neuroimaging: a primer with examples
TE Nichols, AP Holmes
Human brain mapping 15 (1), 1-25, 2002
66212002
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
CR Genovese, NA Lazar, T Nichols
Neuroimage 15 (4), 870-878, 2002
53082002
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
51652009
Statistical parametric mapping: the analysis of functional brain images
WD Penny, KJ Friston, JT Ashburner, SJ Kiebel, TE Nichols
Elsevier, 2011
48982011
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
36342016
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
34422011
Permutation inference for the general linear model
AM Winkler, GR Ridgway, MA Webster, SM Smith, TE Nichols
Neuroimage 92, 381-397, 2014
33652014
Network modelling methods for FMRI
SM Smith, KL Miller, G Salimi-Khorshidi, M Webster, CF Beckmann, ...
Neuroimage 54 (2), 875-891, 2011
20512011
Valid conjunction inference with the minimum statistic
T Nichols, M Brett, J Andersson, T Wager, JB Poline
Neuroimage 25 (3), 653-660, 2005
19772005
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
13802003
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
12912016
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
12492017
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
10782022
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
10422022
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
10142005
Handbook of functional MRI data analysis
RA Poldrack, JA Mumford, TE Nichols
Cambridge University Press, 2011
10092011
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
10032013
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
8702020
Common genetic variants influence human subcortical brain structures
DP Hibar, JL Stein, ME Renteria, A Arias-Vasquez, S Desrivičres, ...
Nature 520 (7546), 224-229, 2015
8342015
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Artikkelit 1–20