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Network Localization of Fatigue in Multiple Sclerosis

Likitalo, 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

Network Localization of Fatigue in Multiple Sclerosis

Likitalo, 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
Katso/Avaa
Ann Clin Transl Neurol - 2025 - Likitalo - Network Localization of Fatigue in Multiple Sclerosis.pdf (1.750Mb)
Lataukset: 

Wiley
doi:10.1002/acn3.70241
URI
https://doi.org/10.1002/acn3.70241
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe202601215696
Tiivistelmä

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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