The Courtois NeuroMod project: quality assessment of the initial data release (2020)
Julie Boyle, Basile Pinsard, CRIUGM, Canada; Valentina Borghesani, University of Geneva, Switzerland; Francois Paugam, University of Montreal, Canada; Elizabeth DuPre, Standford, United States; Pierre Bellec, University of Montreal, Canada
Session:
Posters 1B Poster
Presentation Time:
Thu, 24 Aug, 17:00 - 19:00 United Kingdom Time
Abstract:
A key feature of the brain is its capacity to combine specialized processes and switch flexibly across cognitive contexts. The Courtois Project on Neuronal Modelling (CNeuroMod) is building deep and dense neuroimaging datasets (n=6), using a wide range of multi-domain tasks in order to train integrative AI models of the brain. Here we summarize the technical validation of the CNeuroMod 2020 data release, which includes signal quality control measures, and functional localizer maps based on Human Connectome Project stimuli (HCP), inter-subject correlation (ISC) maps derived from movie watching and seed-based connectivity maps acquired from resting state data. Results indicate low levels of motion and high signal stability, while localizer (HCP), ISC, and seed based connectivity maps are all consistent with previous reports, highlighting the high quality of CNeuroMod data. In combination with our latest data release (2022: 109h of fMRI of controlled and naturalistic tasks spanning multiple cognitive domains, and up to 10 structural scans / subject), the CNeuroMod databank (https://cneuromod.ca) provides a rich resource to model integrative processes in the brain.