Review Dynamics of brain-muscle interaction with neuromuscular fatigability: systematic review, 2026, Al Omari et al.

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Dynamics of brain-muscle interaction with neuromuscular fatigability: systematic review
Al Omari, Sarah; Moeyersons, Charlotte; Defour, Arne; Haslacher, David; Jansen, Bart; Beckwée, David; Swinnen, Eva; Firouzi, Mahyar

INTRODUCTION
Neuromuscular fatigability impairs motor performance in both healthy and neurological populations. Corticomuscular coherence (CMC), derived from EEG and EMG recordings, reflects the brain-muscle interaction during movement. However, the impact of neuromuscular fatigability on CMC in healthy and neurological populations remains unclear.

METHODS
A systematic search of PubMed, Web of Science, and Embase was conducted up to 02/02/2026. Eligible studies investigated CMC changes related to fatiguing tasks in healthy or neurological participants. Two reviewers independently screened, extracted data, and assessed the risk of bias.

RESULTS
Fifteen non-randomized experimental studies were included, comprising predominantly neurologically healthy adults (n= 174) and a limited number of individuals with neurological conditions (n= 14). Fatiguing tasks varied widely in muscle group, contraction type, mode, and intensity. Across studies, neuromuscular fatigability was associated with heterogeneous changes in CMC, most commonly involving reductions in beta band coherence as fatigue progressed. However, preserved or increased beta band CMC was also reported in both upper- and lower-limb tasks, particularly during sustained or low- to moderate-intensity contractions. Alpha and gamma band CMC were less reported across the included studies. No consistent or limb-specific pattern of CMC modulation emerged, with observed responses depending on task demands, contraction intensity, muscle group, and stage of fatigue. Evidence from neurological populations was sparse but suggested generally lower CMC magnitude and greater disruption during fatiguing tasks compared with healthy controls.

DISCUSSION
These findings indicate that fatigue-related changes in CMC do not reflect a uniform loss of corticomuscular coupling but rather task- and context-dependent adaptations in brain–muscle communication. Reductions in CMC may reflect diminished efficacy of corticospinal synchronization, whereas preserved or increased coherence may represent stabilization to maintain motor output with fatigue. By synthesizing how neuromuscular fatigability reshapes CMC across different experimental contexts and highlighting key methodological limitations, this review provides a framework to inform the design of future rehabilitation or neuromodulation trials targeting fatigability in both healthy and neurological populations.

Web | DOI | PDF | Frontiers in Physiology | Open Access
 
See also —

The neuromechanical of Beta-band corticomuscular coupling within the human motor system
Peng, Jiazheng; Zikereya, Talifu; Shao, Zhongshu; Shi, Kaixuan

Beta-band activity in the sensorimotor cortex is considered a potential biomarker for evaluating motor functions. The intricate connection between the brain and muscle (corticomuscular coherence), especially in beta band, was found to be modulated by multiple motor demands. This coherence also showed abnormality in motion-related disorders. However, although there has been a substantial accumulation of experimental evidence, the neural mechanisms underlie corticomuscular coupling in beta band are not yet fully clear, and some are still a matter of controversy.

In this review, we summarized the findings on the impact of Beta-band corticomuscular coherence to multiple conditions (sports, exercise training, injury recovery, human functional restoration, neurodegenerative diseases, age-related changes, cognitive functions, pain and fatigue, and clinical applications), and pointed out several future directions for the scientific questions currently unsolved.

In conclusion, an in-depth study of Beta-band corticomuscular coupling not only elucidates the neural mechanisms of motor control but also offers new insights and methodologies for the diagnosis and treatment of motor rehabilitation and related disorders. Understanding these mechanisms can lead to personalized neuromodulation strategies and real-time neurofeedback systems, optimizing interventions based on individual neurophysiological profiles. This personalized approach has the potential to significantly improve therapeutic outcomes and athletic performance by addressing the unique needs of each individual.

Web | DOI | PDF | Frontiers in Neuroscience | Open Access
 
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