Guillaume Flandin
Guillaume Flandin
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Statistical parametric mapping: the analysis of functional brain images
WD Penny, KJ Friston, JT Ashburner, SJ Kiebel, TE Nichols
Elsevier, 2011
Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans
M Pessiglione, B Seymour, G Flandin, RJ Dolan, CD Frith
Nature 442 (7106), 1042-1045, 2006
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
SPM12 manual
J Ashburner, G Barnes, C Chen, J Daunizeau, G Flandin, K Friston, ...
Functional Imaging Laboratory, Institute of Neurology, 2012
Multiple sparse priors for the M/EEG inverse problem
K Friston, L Harrison, J Daunizeau, S Kiebel, C Phillips, N Trujillo-Barreto, ...
NeuroImage 39 (3), 1104-1120, 2008
EEG and MEG data analysis in SPM8
V Litvak, J Mattout, S Kiebel, C Phillips, R Henson, J Kilner, G Barnes, ...
Computational intelligence and neuroscience 2011 (1), 852961, 2011
Topological FDR for neuroimaging
J Chumbley, K Worsley, G Flandin, K Friston
Neuroimage 49 (4), 3057-3064, 2010
EEG-BIDS, an extension to the brain imaging data structure for electroencephalography
CR Pernet, S Appelhoff, KJ Gorgolewski, G Flandin, C Phillips, A Delorme, ...
Scientific data 6 (1), 103, 2019
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
KJ Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capotă, ...
PLoS computational biology 13 (3), e1005209, 2017
Dealing with the shortcomings of spatial normalization: Multi‐subject parcellation of fMRI datasets
B Thirion, G Flandin, P Pinel, A Roche, P Ciuciu, JB Poline
Human brain mapping 27 (8), 678-693, 2006
Resting state functional MRI in Parkinson’s disease: the impact of deep brain stimulation on ‘effective’connectivity
J Kahan, M Urner, R Moran, G Flandin, A Marreiros, L Mancini, M White, ...
Brain 137 (4), 1130-1144, 2014
Analysis of family‐wise error rates in statistical parametric mapping using random field theory
G Flandin, KJ Friston
Human brain mapping 40 (7), 2052-2054, 2017
Modelling event-related skin conductance responses
DR Bach, G Flandin, KJ Friston, RJ Dolan
International Journal of Psychophysiology 75 (3), 349-356, 2010
Time-series analysis for rapid event-related skin conductance responses
DR Bach, G Flandin, KJ Friston, RJ Dolan
Journal of neuroscience methods 184 (2), 224-234, 2009
Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts
N Todd, S Moeller, EJ Auerbach, E Yacoub, G Flandin, N Weiskopf
Neuroimage 124, 32-42, 2016
Retinotopic organization of visual mental images as revealed by functional magnetic resonance imaging
I Klein, J Dubois, JF Mangin, F Kherif, G Flandin, JB Poline, M Denis, ...
Cognitive Brain Research 22 (1), 26-31, 2004
Automatized clustering and functional geometry of human parietofrontal networks for language, space, and number
O Simon, F Kherif, G Flandin, JB Poline, D Riviere, JF Mangin, D Le Bihan, ...
Neuroimage 23 (3), 1192-1202, 2004
Bayesian fMRI data analysis with sparse spatial basis function priors
G Flandin, WD Penny
NeuroImage 34 (3), 1108-1125, 2007
A Parametric Empirical Bayesian framework for fMRI‐constrained MEG/EEG source reconstruction
RN Henson, G Flandin, KJ Friston, J Mattout
Human brain mapping 31 (10), 1512-1531, 2010
MEG-BIDS, the brain imaging data structure extended to magnetoencephalography
G Niso, KJ Gorgolewski, E Bock, TL Brooks, G Flandin, A Gramfort, ...
Scientific data 5 (1), 1-5, 2018
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Articles 1–20