| Statistical parametric mapping: the analysis of functional brain images WD Penny, KJ Friston, JT Ashburner, SJ Kiebel, TE Nichols Elsevier, 2011 | 5012 | 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 | 1795 | 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 | 1400 | 2016 |
| SPM12 manual J Ashburner, G Barnes, C Chen, J Daunizeau, G Flandin, K Friston, ... Functional Imaging Laboratory, Institute of Neurology, 2012 | 764 | 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 | 695 | 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 | 614 | 2011 |
| Topological FDR for neuroimaging J Chumbley, K Worsley, G Flandin, K Friston Neuroimage 49 (4), 3057-3064, 2010 | 400 | 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 | 311 | 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 | 295 | 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 | 244 | 2006 |
| 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 | 242 | 2017 |
| 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 | 241 | 2014 |
| Modelling event-related skin conductance responses DR Bach, G Flandin, KJ Friston, RJ Dolan International Journal of Psychophysiology 75 (3), 349-356, 2010 | 216 | 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 | 213 | 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 | 194 | 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 | 188 | 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 | 167 | 2004 |
| 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 | 143 | 2010 |
| Bayesian fMRI data analysis with sparse spatial basis function priors G Flandin, WD Penny NeuroImage 34 (3), 1108-1125, 2007 | 142 | 2007 |
| 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 | 141 | 2018 |
