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Time-Varying Brain Functional Reconfiguration Patterns Associated With Fatigue in Multiple Sclerosis.

Stefanie Hechenberger^1,2,3, Tommy A A Broeders⁴, Marloes D A Bet⁴

¹Department of Neurology, Research Unit for Neuroplasticity and Repair, Medical University of Graz, Graz, Austria.

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Summary

This summary is machine-generated.

Fatigue in people with multiple sclerosis (pwMS) is linked to unstable brain network reconfigurations. Increased brain region dispersion, particularly in the limbic network, may contribute to MS-related fatigue.

Keywords:

brain networks fatigue multiple sclerosis time‐varying reconfigurations

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Area of Science:

Neuroscience
Medical Imaging
Neurology

Background:

Fatigue affects a significant portion of people with multiple sclerosis (pwMS), severely impacting daily life.
The underlying neurobiological mechanisms of MS-related fatigue are not well understood.
Aberrant time-varying brain network reconfigurations may play a role in MS fatigue.

Purpose of the Study:

To investigate the association between time-varying brain network reconfigurations and fatigue in pwMS.
To explore if specific patterns of network reconfiguration correlate with motor and cognitive fatigue.

Main Methods:

Cross-sectional study involving 155 pwMS and 48 healthy controls (HC).
Resting-state functional MRI was used to assess time-varying functional connectivity.
Measures of network reconfiguration included promiscuity, flexibility, cohesion, and disjointedness.
Fatigue was assessed using the Fatigue Scale for Motor and Cognitive Function.

Main Results:

Higher total and motor fatigue in pwMS correlated with increased global brain network promiscuity and disjointedness.
Motor fatigue was also associated with greater network flexibility.
Increased limbic network promiscuity was linked to higher total and motor fatigue in pwMS.
These associations remained significant after controlling for clinical factors and brain damage.

Conclusions:

Elevated fatigue levels in pwMS are associated with more unstable and dispersed brain network reconfigurations.
Limbic network instability may be particularly relevant, potentially reflecting reward processing dysfunction.
The findings suggest that altered brain network dynamics contribute to the experience of fatigue in multiple sclerosis.