Multimodal neuroimaging of fatigability development.

Imaging neuroscience (Cambridge, Mass.) Pub Date : 2025-09-02 eCollection Date: 2025-01-01 DOI:10.1162/IMAG.a.132
Patrick Bedard, Kristine M Knutson, Patrick M McGurrin, Felipe Vial, Traian Popa, Silvina G Horovitz, Mark Hallett, Avindra Nath, Brian Walitt
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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.

疲劳发展的多模态神经影像学。
疲劳是指神经肌肉系统不能产生足够的力量来产生运动来应对任务挑战。疲劳是通过神经肌肉系统连接的中枢和外围部分,但这两个部分如何在疲劳发展时相互作用还缺乏完整的理解。疲劳的影响在健康人身上也有经历,但也伴随着各种疾病,往往加剧他们的症状。我们利用多模态神经成像技术研究了神经肌肉系统的疲劳发展。我们招募了健康的参与者来执行疲劳握力任务,同时记录握力、前臂肌肉肌电图(EMG)、脑电图(EEG)和功能磁共振成像(fMRI),在30秒的握力任务中交替进行30秒的休息。这项任务需要维持最大兵力的50%。我们结合肌电图和脑电图计算皮质肌相干性,并结合脑电图和功能磁共振成像计算脑电信息的功能磁共振成像。我们为每个参与者选择了8个特定的任务块来代表神经肌肉系统如何从预疲劳状态适应到实际疲劳状态。其中包括五个预疲劳模块,参与者可以产生足够的力量来匹配所需的最大力量的50%,三个模块,当力量低于这个限制时。在握力任务的各个环节中,我们观察到了握力变化之前神经肌肉系统的变化。我们发现手臂肌肉的肌电图由高频向低频转移,覆盖对侧感觉运动区的通道EEG稳步增加至第5块后趋于平稳,小脑的fMRI信号也有所增加。在握力任务的30秒内,皮质肌肉一致性增加。基于脑电图的功能磁共振成像显示了传统回归没有显示的大脑区域,包括双侧感觉运动皮层、颞顶交界处和辅助运动区。因此,随着疲劳的发展,神经肌肉系统比实际行为更早地经历了变化。虽然我们发现了中枢和外周起源疲劳的证据,但外周疲劳似乎首先发生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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