A1 Refereed original research article in a scientific journal

Network Localization of Fatigue in Multiple Sclerosis




AuthorsLikitalo, Olli; Kungshamn, Jaakko; Bellmunt‐Gil, Albert; Tommasin, Silvia; Ojha, Abhineet; Viitala, Matias; Aaltonen, Juho; Lötjönen, Jyrki; Koikkalainen, Juha; Ylikotila, Pauli; Pantano, Patrizia; Soilu‐Hänninen, Merja; Joutsa, Juho

PublisherWiley

Publication year2025

Journal: Annals of Clinical and Translational Neurology

Article numberacn3.70241

ISSN2328-9503

eISSN2328-9503

DOIhttps://doi.org/10.1002/acn3.70241

Publication's open availability at the time of reportingOpen Access

Publication channel's open availability Open Access publication channel

Web address https://doi.org/10.1002/acn3.70241

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/505431461


Abstract
Background

Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks associated with fatigue.

Methods

38 MS patients with and 21 without fatigue were included in the study. Association between fatigue and lesion locations was investigated using voxel-lesion symptom mapping and lesion connectivity using lesion network mapping. The findings were tested in two independent datasets, including (1) MS patients scanned using resting-state functional connectivity MRI (rs-fcMRI) (n = 199) and (2) individuals with stroke lesions (n = 85).

Results

There were no specific anatomical MS lesion locations significantly associated with fatigue, but lesions associated with fatigue were connected to a common network with peak positive connectivity to the right premotor cortex and negative connectivity to the left temporal pole (pFWE < 0.05). Of the two identified network nodes, connectivity from the premotor cortex to multiple other brain regions was significantly associated with MS fatigue severity in the independent dataset of MS patients (p < 0.05). The MS fatigue network was also reproducible in poststroke fatigue (spatial correlation r = 0.57, permutation test p = 0.02), again showing that lesion connectivity to the premotor cortex, but not the temporal pole, was associated with fatigue (p = 0.04).

Conclusions

Our results show that fatigue in MS localizes to a brain network, lending insight into the neural substrates of fatigue.


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Funding information in the publication
This study was funded by the Finnish Medical Foundation, Finnish Foundation for Alcohol Studies, Turku University Foundation, Turku UniversityHospital (VTR funds), Instrumentarium Science Foundation and partially supported by FISM—Fondazione Italiana Sclerosi Multipla (cod 2022/R-Multi/028


Last updated on 23/12/2025 10:09:21 AM