Bedard Patrick, Knutson Kristine M, McGurrin Patrick M, Vial Felipe, Popa Traian, Horovitz Silvina G, Hallett Mark, Nath Avindra, Walitt Brian
Human Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Behavioral Neurology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States.
Imaging Neurosci (Camb). 2025 Sep 2;3. doi: 10.1162/IMAG.a.132. eCollection 2025.
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.
易疲劳性是指神经肌肉系统无法产生足够的力量来进行运动以应对任务挑战。易疲劳性有一个通过神经肌肉系统联系起来的中枢和外周组成部分,但随着疲劳的发展,这两个组成部分如何相互作用还缺乏完整的认识。易疲劳性的影响在健康人群中会出现,同时也伴随着各种疾病,常常会加重其症状。我们使用多模态神经成像研究了神经肌肉系统中易疲劳性是如何发展的。我们招募了健康参与者来执行一项疲劳握力任务,同时在30秒的握力任务块与30秒的休息交替过程中记录力量、前臂肌肉的肌电图(EMG)、脑电图(EEG)和功能磁共振成像(fMRI)。该任务要求保持最大力量的50%。我们将EMG和EEG结合起来计算皮质-肌肉相干性,并将EEG和fMRI结合起来计算基于EEG的fMRI。我们为每个参与者选择了八个特定的任务块,以代表神经肌肉系统从疲劳前状态到实际疲劳状态的适应过程。其中包括五个疲劳前的任务块,参与者在这些任务块中能够产生足够的力量来匹配所需的最大力量的50%,以及三个力量低于该限制的任务块。在握力任务的各个块中,我们观察到神经肌肉系统的变化先于握力的变化。我们发现手臂肌肉的肌电图从高频转变为低频,覆盖对侧感觉运动区的通道中的EEG在第五个任务块之前稳步增加,然后趋于平稳,并且fMRI信号在小脑中也增加。皮质-肌肉相干性在握力任务的每个30秒块内都有所增加。基于EEG的fMRI揭示了传统回归方法未发现的大脑区域,包括双侧感觉运动皮层、颞顶交界区和辅助运动区。因此,随着易疲劳性的发展,神经肌肉系统比实际行为更早出现变化。虽然我们发现了中枢和外周起源的易疲劳性的证据,但外周疲劳似乎首先发生。