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Functionnectome as a framework to analyse the contribution of brain circuits to fMRI

Authors :
Laurent Petit
Chris Foulon
Stephanie J. Forkel
Victor Nozais
Michel Thiebaut de Schotten
Groupe d'imagerie neurofonctionnelle (GIN)
Institut des Maladies Neurodégénératives [Bordeaux] (IMN)
Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
UCL, Institute of Neurology [London]
Source :
Communications Biology, Communications Biology, Nature Publishing Group, 2021, ⟨10.1038/s42003-021-02530-2⟩, Communications Biology, Vol 4, Iss 1, Pp 1-12 (2021), Communications Biology, 2021, ⟨10.1038/s42003-021-02530-2⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

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 method to unravel the relationship between brain circuits and functions: The Functionnectome. The Functionnectome 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 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 datasets and beyond task fMRI.<br />Nozais et al introduce a method, the Functionnectome, which comes with an open-source companion software and unravels the relationship between brain circuits and functions. Their tool combines the functional signal from fMRI with white matter circuitry anatomy to chart maps of functional white matter, providing additional avenues for studying functional networks.

Details

Language :
English
ISSN :
23993642
Database :
OpenAIRE
Journal :
Communications Biology, Communications Biology, Nature Publishing Group, 2021, ⟨10.1038/s42003-021-02530-2⟩, Communications Biology, Vol 4, Iss 1, Pp 1-12 (2021), Communications Biology, 2021, ⟨10.1038/s42003-021-02530-2⟩
Accession number :
edsair.doi.dedup.....0166dd1b099259ed545f70a08e7a458c
Full Text :
https://doi.org/10.1038/s42003-021-02530-2⟩