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Related Experiment Video

Updated: Feb 27, 2026

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
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Intermuscular coherence reflects functional coordination.

Christopher M Laine1, Francisco J Valero-Cuevas2

  • 1Brain-Body Dynamics Laboratory, Department of Biomedical Engineering, Division of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California.

Journal of Neurophysiology
|June 30, 2017
PubMed
Summary
This summary is machine-generated.

Coherence analysis reveals how muscles coordinate during tasks. This study shows that specific frequencies of neural drive indicate functional muscle binding, not just task constraints.

Keywords:
EMGcoherencecoordinationcorrelationmuscle synergies

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Area of Science:

  • Neuroscience
  • Motor Control
  • Biophysics

Background:

  • Coherence analysis detects shared neural drive and its spectral properties.
  • The relationship between neural drive spectra and functional muscle interactions is not well understood.

Purpose of the Study:

  • To investigate shared neural drive between hand muscles during distinct precision pinch tasks.
  • To determine if coherence analysis can distinguish neural binding from task constraints.

Main Methods:

  • Assessed shared neural drive between thumb and index finger muscles.
  • Participants performed two mechanically distinct precision pinch tasks.
  • Analyzed surface electromyography (EMG) signal coherence at specific frequencies.

Main Results:

  • Shared neural drive varied systematically at ~10 and ~40 Hz across tasks.
  • Intermuscular coherence, unlike amplitude correlations, indicated neural binding.
  • Coherence analysis identified task-dependent neural coordination strategies.

Conclusions:

  • Intermuscular coherence is a valuable tool for identifying functionally grouped muscles of neural origin.
  • High-frequency coherence (>6 Hz) reflects shared neural drive and reveals task-specific muscle coordination patterns.