Nozais, V;
Forkel, SJ;
Foulon, C;
Petit, L;
de Schotten, MT;
(2021)
Functionnectome as a framework to analyse the contribution of brain circuits to fMRI.
Communications Biology
, 4
(1)
, Article 1035. 10.1038/s42003-021-02530-2.
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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.
| Type: | Article |
|---|---|
| Title: | Functionnectome as a framework to analyse the contribution of brain circuits to fMRI |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s42003-021-02530-2 |
| Publisher version: | https://doi.org/10.1038/s42003-021-02530-2 |
| Language: | English |
| Additional information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Science & Technology, Life Sciences & Biomedicine, Biology, Multidisciplinary Sciences, Life Sciences & Biomedicine - Other Topics, Science & Technology - Other Topics, FRONTAL-LOBE CONNECTIONS, FUNCTIONAL CONNECTIVITY, DIFFUSION MRI, COMPONENT ANALYSIS, CORPUS-CALLOSUM, WORKING-MEMORY, MOTOR CORTEX, NETWORK, RECOVERY, ANATOMY |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10135344 |
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