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Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain

View ORCID ProfileVictor Nozais, View ORCID ProfileStephanie J Forkel, Laurent Petit, View ORCID ProfileMichel Thiebaut de Schotten, Marc Joliot
doi: https://doi.org/10.1101/2022.01.10.475690
Victor Nozais
1UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
2UMR5293, GIN, IMN, CNRS, Bordeaux, France
3UMR 5293, GIN, IMN, CEA, Bordeaux, France
4Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
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  • ORCID record for Victor Nozais
Stephanie J Forkel
1UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
2UMR5293, GIN, IMN, CNRS, Bordeaux, France
3UMR 5293, GIN, IMN, CEA, Bordeaux, France
4Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
5Centre for Neuroimaging Sciences, Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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Laurent Petit
1UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
2UMR5293, GIN, IMN, CNRS, Bordeaux, France
3UMR 5293, GIN, IMN, CEA, Bordeaux, France
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Michel Thiebaut de Schotten
1UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
2UMR5293, GIN, IMN, CNRS, Bordeaux, France
3UMR 5293, GIN, IMN, CEA, Bordeaux, France
4Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France
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  • ORCID record for Michel Thiebaut de Schotten
Marc Joliot
1UMR 5293, GIN, IMN, Univ. Bordeaux, Bordeaux, France
2UMR5293, GIN, IMN, CNRS, Bordeaux, France
3UMR 5293, GIN, IMN, CEA, Bordeaux, France
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  • For correspondence: marc.joliot@u-bordeaux.fr
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Abstract

Over the past two decades, the study of resting-state functional magnetic resonance imaging (fMRI) has revealed the existence of multiple brain areas displaying synchronous functional blood oxygen level-dependent signals (BOLD) — resting-state networks (RSNs). The variation in functional connectivity between the different areas of a resting-state network or between multiple networks, have been extensively studied and linked to cognitive states and pathologies. However, the white matter connections supporting each network remain only partially described. In this work, we developed a data-driven method to systematically map the white and grey matter contributing to resting-state networks. Using the Human Connectome Project, we generated an atlas of 30 resting-state networks, each with two maps: white matter and grey matter. By integrating structural and functional neuroimaging data, this method builds an atlas that unlocks the joint anatomical exploration of white and grey matter to resting-state networks. The method also allows highlighting the overlap between networks, which revealed that most (89%) of the brain’s white matter is shared amongst multiple networks, with 16% shared by at least 7 resting-state networks. These overlaps, especially the existence of regions shared by numerous networks, suggest that white matter lesions in these areas might strongly impact the correlations and the communication within resting-state networks. We provide an open-source software to explore the joint contribution of white and grey matter to RSNs and facilitate the study of the impact of white matter damage on RSNs.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/NotaCS/Functionnectome

  • https://neurovault.org/collections/SBZVMFMK/

  • https://neurovault.org/collections/AFVTMGXJ/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted January 11, 2022.
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Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain
Victor Nozais, Stephanie J Forkel, Laurent Petit, Michel Thiebaut de Schotten, Marc Joliot
bioRxiv 2022.01.10.475690; doi: https://doi.org/10.1101/2022.01.10.475690
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Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain
Victor Nozais, Stephanie J Forkel, Laurent Petit, Michel Thiebaut de Schotten, Marc Joliot
bioRxiv 2022.01.10.475690; doi: https://doi.org/10.1101/2022.01.10.475690

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