Evidence map›Paper›PMID 41250903›Full record

ArticleAnnals of clinical and translational neurology2026

Network Localization of Fatigue in Multiple Sclerosis.

Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt-Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila and 3 more

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Presence and Impact of Fatigue in Patients With Multiple Sclerosis.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Observational
  2. Network Localization of Fatigue in Multiple Sclerosis.Annals of clinical and translational neurology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Olli LikitaloClinical Neurosciences, Turku Brain and Mind Center, University of Turku, Turku, Finland.ORCID 0000-0001-6254-0844
Jaakko KungshamnClinical Neurosciences, Turku Brain and Mind Center, University of Turku, Turku, Finland.ORCID 0000-0002-5081-047X
Albert Bellmunt-GilClinical Neurosciences, Turku Brain and Mind Center, University of Turku, Turku, Finland.
Silvia TommasinHuman Neuroscience Department, Sapienza University of Rome, Rome, Italy.ORCID 0000-0001-9088-7968
Abhineet OjhaHuman Neuroscience Department, Sapienza University of Rome, Rome, Italy.
Matias ViitalaStellarQ Ltd, Turku, Finland.
Juho AaltonenClinical Neurosciences, Turku Brain and Mind Center, University of Turku, Turku, Finland.
Jyrki LötjönenCombinostics Ltd, Tampere, Finland.
Juha KoikkalainenCombinostics Ltd, Tampere, Finland.
Pauli YlikotilaNeurocenter, Turku University Hospital, Turku, Finland.
Patrizia PantanoHuman Neuroscience Department, Sapienza University of Rome, Rome, Italy.
Merja Soilu-HänninenNeurocenter, Turku University Hospital, Turku, Finland.
Juho JoutsaClinical Neurosciences, Turku Brain and Mind Center, University of Turku, Turku, Finland.ORCID 0000-0002-3457-9415

Funding

AlkoholitutkimussäätiöFondazione Italiana Sclerosi Multipla cod 2022/R-Multi/028Suomen Lääketieteen SäätiöTurun Yliopistollinen KeskussairaalaTurun Yliopistosäätiö
6 · The paper itself

Abstract

backgroundFatigue 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.

methods38 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).

resultsThere 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 (p

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

Indexed as

ConnectomeFatigueMotor CortexMultiple SclerosisNerve NetAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle Agedfatiguelesion network mappingmultiple sclerosisstroke

Identifiers

PMID41250903
PMCPMC13071088

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.