Network Localization of Fatigue in Multiple Sclerosis

dc.contributor.authorLikitalo, Olli
dc.contributor.authorKungshamn, Jaakko
dc.contributor.authorBellmunt‐Gil, Albert
dc.contributor.authorTommasin, Silvia
dc.contributor.authorOjha, Abhineet
dc.contributor.authorViitala, Matias
dc.contributor.authorAaltonen, Juho
dc.contributor.authorLötjönen, Jyrki
dc.contributor.authorKoikkalainen, Juha
dc.contributor.authorYlikotila, Pauli
dc.contributor.authorPantano, Patrizia
dc.contributor.authorSoilu‐Hänninen, Merja
dc.contributor.authorJoutsa, Juho
dc.contributor.organizationfi=PET-keskus|en=Turku PET Centre|
dc.contributor.organizationfi=kliininen laitos|en=Department of Clinical Medicine|
dc.contributor.organizationfi=kliiniset neurotieteet|en=Clinical Neurosciences|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.61334543354
dc.contributor.organization-code1.2.246.10.2458963.20.74845969893
dc.contributor.organization-code2607300
dc.contributor.organization-code2607314
dc.contributor.organization-code2609810
dc.converis.publication-id505431461
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/505431461
dc.date.accessioned2026-01-21T12:15:34Z
dc.date.available2026-01-21T12:15:34Z
dc.description.abstract<h3>Background</h3><p>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.</p><h3>Methods</h3><p>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) (<em>n</em> = 199) and (2) individuals with stroke lesions (<em>n</em> = 85).</p><h3>Results</h3><p>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 (<em>p</em><sub>FWE</sub> < 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 (<em>p</em> < 0.05). The MS fatigue network was also reproducible in poststroke fatigue (spatial correlation <em>r</em> = 0.57, permutation test <em>p</em> = 0.02), again showing that lesion connectivity to the premotor cortex, but not the temporal pole, was associated with fatigue (<em>p</em> = 0.04).</p><h3>Conclusions</h3><p>Our results show that fatigue in MS localizes to a brain network, lending insight into the neural substrates of fatigue.</p>
dc.identifier.eissn2328-9503
dc.identifier.jour-issn2328-9503
dc.identifier.olddbid212277
dc.identifier.oldhandle10024/195295
dc.identifier.urihttps://www.utupub.fi/handle/11111/45128
dc.identifier.urlhttps://doi.org/10.1002/acn3.70241
dc.identifier.urnURN:NBN:fi-fe202601215696
dc.language.isoen
dc.okm.affiliatedauthorLikitalo, Olli
dc.okm.affiliatedauthorKungshamn, Jaakko
dc.okm.affiliatedauthorAaltonen, Juho
dc.okm.affiliatedauthorYlikotila, Pauli
dc.okm.affiliatedauthorSoilu-Hänninen, Merja
dc.okm.affiliatedauthorJoutsa, Juho
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3124 Neurology and psychiatryen_GB
dc.okm.discipline3124 Neurologia ja psykiatriafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherWiley
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.articlenumberacn3.70241
dc.relation.doi10.1002/acn3.70241
dc.relation.ispartofjournalAnnals of Clinical and Translational Neurology
dc.source.identifierhttps://www.utupub.fi/handle/10024/195295
dc.titleNetwork Localization of Fatigue in Multiple Sclerosis
dc.year.issued2025

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