Flandin, Guillaume

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

Gorgolewski, K. J., Auer, T., Calhoun, V. D., Craddock, R. C., Das, S., Duff, E. P., Flandin, G., Ghosh, S. S., Glatard, T., Halchenko, Y. O., et al. (2016) · Scientific Data

Research Data Management PracticesFunctional Brain Connectivity Studies

Cited by 1,775

Dopamine-dependent prediction errors underpin reward-seeking behaviour in humans

Pessiglione, M., Seymour, B., Flandin, G., Dolan, R. J., & Frith, C. D. (2006) · Nature

Neurotransmitter Receptor Influence on BehaviorNeural and Behavioral Psychology Studies

Cited by 1,584

Multiple sparse priors for the M/EEG inverse problem.

Friston, K., Harrison, L., Daunizeau, J., Kiebel, S., Phillips, C., Trujillo-Barreto, N., Henson, R., Flandin, G., & Mattout, J. (2008) · NeuroImage

EEG and Brain-Computer InterfacesNumerical methods in inverse problems

Cited by 589

Topological FDR for neuroimaging

Chumbley, J., Worsley, K., Flandin, G., & Friston, K. (2010) · NeuroImage

Functional Brain Connectivity StudiesStatistical Methods in Clinical Trials

Cited by 492

BIDS apps: improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Gorgolewski, K. J., Alfaro-Almagro, F., Auer, T., Bellec, P., Capotă, M., Chakravarty, M. M., Churchill, N. W., Cohen, A. L., Craddock, R. C., Devenyi, G. A., et al. (2017) · PLOS Computational Biology

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 311

Sensor space group analysis for fNIRS data

Tak, S., Uga, M., Flandin, G., Dan, I., & Penny, W. D. (2016) · Journal of Neuroscience Methods

Optical Imaging and Spectroscopy TechniquesFunctional Brain Connectivity Studies

Cited by 83

Convolution models for induced electromagnetic responses

Litvak, V., Jha, A., Flandin, G., & Friston, K. (2013) · NeuroImage

EEG and Brain-Computer InterfacesNeural dynamics and brain function

Cited by 45