Dolphin
Senior Member (Voting Rights)
Bedard, P., Knutson, K.M., McGurrin, P.M., Vial, F., Popa, T., Horovitz, S.G., Hallett, M., Nath, A., & Walitt, B. (2025). Multimodal neuroimaging of fatigability development. Imaging Neuroscience, Advance Publication. https://doi.org/10.1162/IMAG.a.132
August 12 2025
Multimodal neuroimaging of fatigability development
Patrick Bedard, PhDCorresponding Author,
Kristine M. Knutson, MA,
Patrick M. McGurrin, PhD,
Felipe Vial, MD,
Traian Popa, MD PhD,
Silvina G. Horovitz, PhD,
Mark Hallett, MD,
Avindra Nath, MD,
Brian Walitt, MD MPH
Author and Article Information
Patrick Bedard, PhD
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
Kristine M. Knutson, MA
Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
Patrick M. McGurrin, PhD
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
Felipe Vial, MD
Clínica Alemana Universidad del Desarrollo, Santiago, Chile.
Traian Popa, MD PhD
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
Silvina G. Horovitz, PhD
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
Mark Hallett, MD
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
Avindra Nath, MD
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
Brian Walitt, MD MPH
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA, 20892-1428.
*Corresponding author: Patrick Bedard, E-mail: patrick.bedard@nih.gov
Received: February 13 2025
Revision Received: August 06 2025
Accepted: August 09 2025
Imaging Neuroscience (2025)
https://doi.org/10.1162/IMAG.a.132
Article history
- Cite IconCite
- Open thePDFfor in another window
- Permissions
- Share IconShare
- Views IconViews Open Menu
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 accompanies 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 sec blocks of grip task alternating with 30 sec 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 sec 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.
Fatigability, fMRI, EEG, EMG, corticomuscular coherence
This content is only available as a P