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Primary Sensorimotor Cortex Drives the Common Cortical Network for Gamma Synchronization in Voluntary Hand Movements
Gertrúd Tamás1, Venkata C Chirumamilla2, Abdul R Anwar3,4
1Department of Neurology, Semmelweis University, Budapest, Hungary.
Frontiers in Human Neuroscience
|April 24, 2018
Summary
Gamma synchronization (GS) in the brain coordinates motor networks during hand movements. This study identified key brain regions involved in GS, revealing how the primary sensorimotor cortex influences other areas.
Area of Science:
- Neuroscience
- Motor Control
- Brain Oscillations
Background:
- Gamma synchronization (GS) is hypothesized to facilitate communication between cortical and subcortical neural populations.
- Understanding GS sources and information flow is crucial for deciphering neural processing during motor tasks.
Purpose of the Study:
- To identify the sources of gamma synchronization (GS) during voluntary hand movements.
- To analyze the direction of information flow within cerebral networks during phasic and isometric hand contractions.
Main Methods:
- Electroencephalography (EEG) and surface electromyography (sEMG) were recorded from 11 healthy volunteers.
- Time-frequency analysis using the multitaper method identified GS sources via beamformer inverse solution.
- Renormalized partial directed coherence estimated information flow direction, with surrogate testing for significance.
Main Results:
- Common GS sources across tasks included contralateral primary sensorimotor cortex (S1M1), dorsolateral prefrontal cortex (dPFC), and supplementary motor cortex (SMA).
- GS was observed in specific low and high gamma frequency bands in the contralateral thalamus and ipsilateral cerebellum.
- S1M1 demonstrated efferent information flow to SMA and dPFC; dPFC showed no detected afferent connections in the gamma range.
Conclusions:
- A distinct cortical network for GS was identified during voluntary hand movement tasks.
- S1M1 actively modulates interconnected cortical areas via GS, while subcortical structures dynamically influence motor networks.
- Cortical-subcortical information flow via GS is dynamically variable and specific to the movement program.
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