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Updated: Mar 31, 2026

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Determining the Functional Status of the Corticospinal Tract Within One Week of Stroke

Published on: February 22, 2020

Neurophysiologic predictors of motor function in stroke.

Marcel Simis^1,2, Deniz Doruk², Marta Imamura¹

¹Physical and Rehabilitation Medicine Institute of the University of Sao Paulo Medical School General Hospital, Brazil.

Restorative Neurology and Neuroscience

|November 1, 2015

Summary

Motor threshold in the stroke-affected hemisphere is a key predictor of motor recovery. Brain activity in the unaffected hemisphere, measured by quantitative electroencephalography (qEEG), further refines understanding of stroke rehabilitation outcomes.

Keywords:

Stroke cerebrovascular disease cortical excitability motor recovery plasticity quantitative electroencephalography (qEEG)transcranial magnetic stimulation (TMS)

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Area of Science:

Neuroscience
Neurorehabilitation
Clinical Electrophysiology

Background:

Stroke recovery hinges on understanding neural mechanisms.
Effective neurorehabilitation strategies require insights into brain plasticity post-stroke.

Purpose of the Study:

To investigate the neural predictors of motor recovery in chronic stroke patients.
To analyze the association between transcranial magnetic stimulation (TMS) and electroencephalography (EEG) variables and motor function improvement.

Main Methods:

Recruited 35 subjects with chronic stroke.
Assessed neurophysiology using TMS and quantitative electroencephalography (qEEG) for inter-hemispheric coherence.
Measured motor function with the Fugl-Meyer (FM) scale.

Main Results:

A significant interaction was found between motor threshold (MT) in the lesioned hemisphere and beta coherence in the unlesioned hemisphere.
Higher beta activity in the unlesioned hemisphere was associated with a stronger negative relationship between MT and FM scores.

Conclusions:

Motor threshold in the lesioned hemisphere is a primary predictor of motor recovery post-stroke.
Quantitative electroencephalography (qEEG) data from the unlesioned hemisphere provide crucial additional information.
Integrating EEG and TMS offers a comprehensive model of bihemispheric contributions to stroke recovery.