PT  - JOURNAL ARTICLE
AU  - Victor Nozais
AU  - Stephanie J. Forkel
AU  - Chris Foulon
AU  - Laurent Petit
AU  - Michel Thiebaut de Schotten
TI  - Functionnectome: a framework to analyse the contribution of brain circuits to fMRI
AID  - 10.1101/2021.01.06.425574
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2021.01.06.425574
4099  - http://biorxiv.org/content/early/2021/03/24/2021.01.06.425574.short
4100  - http://biorxiv.org/content/early/2021/03/24/2021.01.06.425574.full
AB  - In recent years, the field of functional neuroimaging has moved away from a pure localisationist approach of isolated functional brain regions to a more integrated view of these regions within functional networks. However, the methods used to investigate functional networks rely on local signals in grey matter and are limited in identifying anatomical circuitries supporting the interaction between brain regions. Mapping the brain circuits mediating the functional signal between brain regions would propel our understanding of the brain’s functional signatures and dysfunctions. We developed a novel method to unravel the relationship between brain circuits and functions: The Functionnectome. The Functionectome combines the functional signal from fMRI with white matter circuits’ anatomy to unlock and chart the first maps of functional white matter. To showcase this new method’s versatility, we provide the first functional white matter maps revealing the joint contribution of connected areas to motor, working memory, and language functions. The Functionnectome comes with an open-source companion software and opens new avenues into studying functional networks by applying the method to already existing dataset and beyond task fMRI.Competing Interest StatementThe authors have declared no competing interest.