ArticleFrontiers in computational neuroscience2016
Nonlinear Coupling between Cortical Oscillations and Muscle Activity during Isotonic Wrist Flexion.
Article in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Neuroergonomics Applications of Electroencephalography in Physical Activities: A Systematic Review.Frontiers in human neuroscience · 2019Pooled it
- Corticomuscular coupling study for post-stroke rehabilitation: a scoping review.Journal of neuroengineering and rehabilitation · 2025Article
- Neuroengineering approaches assessing structural and functional changes of motor descending pathways in stroke.Progress in biomedical engineering (Bristol, England) · 2025Review
- Contralesional recruitment and localization of EEG signal complexity in stroke: a recurrence quantification analysis of hierarchical motor tasks.Journal of neural engineering · 2025Article
- Brain-hemispheric differences in the premotor area for motor planning: An approach based on corticomuscular connectivity during motor decision-making.NeuroImage · 2025Article
- Beta-Band Cortico-Muscular Phase Coherence in Hemiparetic Stroke.Biomedical signal processing and control · 2024Article
- Modeling the cortical response elicited by wrist manipulation via a nonlinear delay differential embedding.Physical and engineering sciences in medicine · 2024Article
- Cross-frequency cortex-muscle interactions are abnormal in young people with dystonia.Brain communications · 2024Article
- Influencing factors of corticomuscular coherence in stroke patients.Frontiers in human neuroscience · 2024Review
- Multi-Phase Locking Value: A Generalized Method for Determining Instantaneous Multi-Frequency Phase Coupling.Biomedical signal processing and control · 2022Article
- Normalized compression distance to measure cortico-muscular synchronization.Frontiers in neuroscience · 2022Article
- Cross-frequency and iso-frequency estimation of functional corticomuscular coupling after stroke.Cognitive neurodynamics · 2021Article
- Specific modulation of corticomuscular coherence during submaximal voluntary isometric, shortening and lengthening contractions.Scientific reports · 2021Article
- Nonlinear System Identification of Neural Systems from Neurophysiological Signals.Neuroscience · 2021Review
- Slowly activating outward membrane currents generate input-output sub-harmonic cross frequency coupling in neurons.Journal of theoretical biology · 2021Article
- Assessing the Usage of Indirect Motor Pathways Following a Hemiparetic Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2021Article
- Assessing Neural Connectivity and Associated Time Delays of Muscle Responses to Continuous Position Perturbations.Annals of biomedical engineering · 2021Article
- Quantifying the Nonlinear Interaction in the Nervous System Based on Phase-Locked Amplitude Relationship.IEEE transactions on bio-medical engineering · 2020Article
- Quantifying Altered Neural Connectivity of the Stretch Reflex in Chronic Hemiparetic Stroke.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
- [Intermuscular coupling based on wavelet packet-cross frequency coherence].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Coupling between cortical oscillations and muscle activity facilitates neuronal communication during motor control. The linear part of this coupling, known as corticomuscular coherence, has received substantial attention, even though neuronal communication underlying motor control has been demonstrated to be highly nonlinear. A full assessment of corticomuscular coupling, including the nonlinear part, is essential to understand the neuronal communication within the sensorimotor system. In this study, we applied the recently developed n:m coherence method to assess nonlinear corticomuscular coupling during isotonic wrist flexion. The n:m coherence is a generalized metric for quantifying nonlinear cross-frequency coupling as well as linear iso-frequency coupling. By using independent component analysis (ICA) and equivalent current dipole source localization, we identify four sensorimotor related brain areas based on the locations of the dipoles, i.e., the contralateral primary sensorimotor areas, supplementary motor area (SMA), prefrontal area (PFA) and posterior parietal cortex (PPC). For all these areas, linear coupling between electroencephalogram (EEG) and electromyogram (EMG) is present with peaks in the beta band (15-35 Hz), while nonlinear coupling is detected with both integer (1:2, 1:3, 1:4) and non-integer (2:3) harmonics. Significant differences between brain areas is shown in linear coupling with stronger coherence for the primary sensorimotor areas and motor association cortices (SMA, PFA) compared to the sensory association area (PPC); but not for the nonlinear coupling. Moreover, the detected nonlinear coupling is similar to previously reported nonlinear coupling of cortical activity to somatosensory stimuli. We suggest that the descending motor pathways mainly contribute to linear corticomuscular coupling, while nonlinear coupling likely originates from sensory feedback.
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