A Pilot Study on Coupling Behaviors of Limb Movements and Brain Activation Based on EEG and fNIRS Synchronization Information

Xi Tang, Qingge Li, Yao Tang, Lan Tian, Yue Zheng, Xiangxin Li, Naifu Jiang, Peng Shang, Guanglin Li, Liang Peng, Peng Fang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Motion is one of the basic physiological functions of human beings. However, many brain diseases such as stroke may cause different degrees of motor dysfunctions for patients. As a commonly used rehabilitation method, active and passive exercise training may enhance patients' neuromuscular functions and recover their motor abilities. It is known that limb movements are strongly coupled with brain activation but there is currently insufficient exploration on the coupling behaviors from the perspective of informatics. In this study, the coupling relationship between limb movements and brain activation was preliminarily studied based on three healthy subjects. Electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) signals were synchronously collected during lower limb movements, and time-frequency analysis (TFA) and transfer entropy (TE) analysis were performed to quantitatively study the brain activation behaviors. In the experiments, a desynchronization phenomenon of μ rhythm in EEG was observed during exercise states, and the experimental results demonstrate the activation rule of motor and prefrontal cortexes upon limb movements. Calculations show that there exists a bidirectional flow of information between EEG and cerebral oxygen metabolism signals, but with a difference between different directions. This work may support the rehabilitation for patients with motor dysfunctions with a guidance of quantitative indicators and also benefit the exploration on neuroscience.

Original languageEnglish
Title of host publicationProceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages713-718
Number of pages6
ISBN (Electronic)9798350327182
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023 - Datong, China
Duration: 17 Jul 202320 Jul 2023

Publication series

NameProceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

Conference

Conference2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
Country/TerritoryChina
CityDatong
Period17/07/2320/07/23

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