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Updated: Feb 1, 2026

Combining Multiple Data Acquisition Systems to Study Corticospinal Output and Multi-segment Biomechanics
Published on: January 9, 2016
Sensorimotor Oscillatory Phase-Power Interaction Gates Resting Human Corticospinal Output.
Sara J Hussain1, Leonardo Claudino1, Marlene Bönstrup1
1Human Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.
Human motor control depends on interactions between brainwave power and phase. Specifically, mu oscillations
Area of Science:
- Neuroscience
- Motor Control
- Brain Oscillations
Background:
- Sensorimotor networks exhibit time-varying oscillatory activity in phase and power.
- The combined influence of oscillatory phase and power on corticospinal output remains unclear.
- Understanding these interactions is crucial for deciphering human motor function regulation.
Purpose of the Study:
- To investigate the interaction between sensorimotor oscillatory phase and power on human corticospinal excitability.
- To determine if phase-dependency of motor evoked potentials is modulated by oscillatory power.
Main Methods:
- Transcranial magnetic stimulation (TMS) delivered to the motor cortex during electroencephalography (EEG) recordings.
- Motor evoked potentials (MEPs) analyzed offline based on concurrent mu (8-12 Hz) and beta (13-30 Hz) oscillation phase and power.
- Linear mixed-effects models used to assess phase-dependency across varying power levels.
Main Results:
- A significant interaction between mu oscillation phase and power was observed (P = 0.002).
- The direction of corticospinal excitability's phase-dependency reversed with changes in mu power.
- No significant phase-power interaction was found for beta oscillations (P > 0.11).
Conclusions:
- The interaction between mu oscillatory phase and power critically gates human corticospinal output.
- This interaction explains variability in corticospinal excitability beyond phase or power alone.
- Findings highlight the complex interplay of neural oscillations in motor control.
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