Evidence map›Paper›PMID 40909358›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Multimodal neuroimaging of fatigability development.

Patrick Bedard, Kristine M Knutson, Patrick M McGurrin, Felipe Vial, Traian Popa, Silvina G Horovitz, Mark Hallett, Avindra Nath, Brian Walitt

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

9 authors.

Patrick BedardHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.ORCID https://orcid.org/0000-0001-9447-6779
Kristine M KnutsonBehavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Patrick M McGurrinHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Felipe VialClínica Alemana Universidad del Desarrollo, Santiago, Chile.
Traian PopaHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Silvina G HorovitzHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Mark HallettHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Avindra NathHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Brian WalittHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigability refers to the inability of the neuromuscular system to generate enough force to produce movements to meet task challenges. Fatigability has a central and a peripheral component linked via the neuromuscular system, but how these two components interact as fatigue develops lacks a complete understanding. The effects of fatigability are experienced in healthy humans but also accompany various disorders, often exacerbating their symptoms. We studied how fatigability develops in the neuromuscular system using multimodal neuroimaging. We recruited healthy participants to perform a fatiguing grip force task, while recording force, electromyography of forearm muscles (EMG), electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) in 30-second blocks of grip task alternating with 30 seconds of rest. The task entailed maintaining 50% of the maximum force. We combined EMG and EEG to compute corticomuscular coherence and combined EEG and fMRI to compute EEG-informed fMRI. We selected eight task blocks specific to each participant to represent how the neuromuscular system adapted from pre-fatigability to actual fatigability. Those included five blocks for pre-fatigability in which participants could generate enough force to match the required 50% of maximum force and three blocks when the force fell below that limit. Across blocks of the grip force task, we observed changes in the neuromuscular system that preceded grip force changes. We found that electromyography of arm muscles shifted from high to low frequency, EEG in the channel covering the contralateral sensorimotor area increased steadily up to the fifth block and then plateaued, and fMRI signal also increased in the cerebellum. Corticomuscular coherence increased within each of the 30-second blocks of the grip task. EEG-informed fMRI revealed areas of the brain that the traditional regression did not, including the bilateral sensorimotor cortex, temporal-parietal junction, and supplementary motor area. Thus, as fatigability developed, the neuromuscular system experienced changes earlier than the actual behavior. While we found evidence for fatigability of central and peripheral origins, peripheral fatigue seems to occur first.

Indexed as

corticomuscular coherenceEEGEMGfatigabilityfMRI

Identifiers

PMID40909358
PMCPMC12406056

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.