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. 2021 Apr;27(4):559-567.
doi: 10.1177/1352458520971807. Epub 2020 Dec 7.

Structural constraints of functional connectivity drive cognitive impairment in the early stages of multiple sclerosis

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Structural constraints of functional connectivity drive cognitive impairment in the early stages of multiple sclerosis

Ismail Koubiyr et al. Mult Scler. 2021 Apr.

Abstract

Background: The relationship between structural and functional deficits in multiple sclerosis (MS) is unclear.

Objective: This study explored structure-function relationships during the 5 years following a clinically isolated syndrome and their role in cognitive performance.

Methods: Thirty-two patients were enrolled after their first neurological episode suggestive of MS and followed for 5 years, along with 10 matched healthy controls. We assessed structural (using diffusion tensor imaging) and functional (using resting-state functional magnetic resonance imaging (fMRI)) brain network metrics, clinical and cognitive scores at each follow-up visit. Structural-functional coupling, calculated as the correlation coefficient between strengths of structural and functional networks, was used to assess structure-function relationships.

Results: Structural clustering coefficient was significantly increased after 5 years, whereas characteristic path length decreased. Structural connections decreased after 1 year and increased after 5 years. Functional connections and related path lengths were decreased after 5 years. Structural-functional coupling had increased significantly after 5 years. This structural-functional coupling was associated with cognitive and clinical evolution, with stronger coupling associated with a decline in both domains.

Conclusion: Our findings provide novel biological evidence that MS leads to a more constrained anatomical-dependant functional connectivity. The collapse of this network seems to lead to both cognitive worsening and clinical disability.

Keywords: Multiple sclerosis; clinically isolated syndrome; cognition; diffusion tensor imaging; functional MRI; graph theory.

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