Framework for performing multi-subject analysis in electrophysiology within the BIDS format

Aude Jegou Presenter
Aix-Marseille University
Marseille, n/a 
Software Demonstrations 
Neuroscience community has faced the challenge of reusing scripts to analyse data coming from different projects or different centers, however analysing large cohorts of data is very important to increase statistical power. Brain Imaging Data Structure (BIDS) has been developed, in part, to overcome this problem. BIDS allows to organize and share data easily [1]. Originally developed for neuroimaging, it has been extended to different modalities including intracranial-electroencephalography (iEEG) [2]. Structuring data in BIDS thus allows combining many subjects in a same analysis, in either single-center or multicenter studies. However, converting existing databases in this structure can be time consuming and transferring data from different centers can be prone to errors. Moreover, even if many software are now adapted to BIDS (e.g. Brainstorm) and BIDS App has been developed to standardize data analysis [3], these software solutions focused on anatomical data. Our goal was thus to develop tools for transferring and organising data (both electrophysiological and anatomical) from different centers in the BIDS format, and to launch automated analyses on several subjects with common criteria.