Evaluating stroke rehabilitation using brain functional network and corticomuscular coupling

 FYI. I found this useless, describes a relationship but does nothing to explain what will make this better so stroke patients can recover.

What is Corticomuscular coupling?

The functional corticomuscular coupling (FCMC) between the motor cortex and the effector muscles is considered essential for effective movement control (2). Extensive studies have expounded that cortical oscillatory drives are coupled with muscle activation in several different frequency bands.

Evaluating stroke rehabilitation using brain functional network and corticomuscular coupling

Ting Wang

,

Chenghao Wang

,

Kai Chen

,

Donghui Yang

,

Xugang Xi

&

Wanzeng Kong

Received 24 Feb 2022, Accepted 30 Jun 2022, Accepted author version posted online: 11 Jul 2022, Published online: 14 Jul 2022

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• https://doi.org/10.1080/00207454.2022.2099386
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Abstract

Objective: Stroke is the leading cause of disability worldwide. Traditionally, doctors assess stroke rehabilitation assessment, which can be subjective. Therefore, an objective assessment method is required.

Methods: In this context, we investigated the changes in brain functional connectivity patterns and corticomuscular coupling in stroke patients during rehabilitation. In this study, electroencephalogram (EEG) and electromyogram (EMG) of stroke patients were collected synchronously at baseline(BL), two weeks after BL, and four weeks after BL. A brain functional network was established, and the corticomuscular coupling relationship was calculated using phase transfer entropy (PTE).

Results: We found that during the rehabilitation of stroke patients, the overall connection of the brain functional network was strengthened, and the network characteristic value increased. The average corticomuscular PTE appeared to first decrease and subsequently increase, and the PTE increase in the frontal lobe was significant.

Value: In this study, PTE was used for the first time to analyze the relationship between EEG signals in patients with hemiplegia. We believe that our findings contribute to evaluating the rehabilitation of stroke patients with hemiplegia.