A Novel Framework in Quantifying Oscillatory Coupling to Gait Disturbance in Parkinson's Disease

Luyao Jin, Chuting Zhang, Wenbin Shi, Chien Hung Yeh*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Phase-amplitude coupling (PAC) based on the uniform phase empirical mode decomposition (UPEMD) is proposed to improve the accuracy of PAC assessment. The framework is applied to investigate the mechanism and improvement measure of gait disturbance for Parkinson's disease (PD). Hbeta modulation is suppressed at the time of contralateral heel strikes and rebounds when the contralateral foot rests on the ground and the ipsilateral foot is raised. Prominent PACs exist between delta and Lbeta/Hbeta activities. Auditory cue improves the gait; meanwhile, it enhances the Hbeta modulation, and suppresses the delta-Lbeta/Hbeta PACs, which may rebound toward the before-cue stage afterward. Our findings suggest the proposed UPEMD-PAC is a useful framework in quantifying PAC with pre-determined frequencies, whereas the delta-Lbeta/Hbeta PACs in the subthalamic nucleus serve as potential biomarkers for gait disturbance in PD. Clinical Relevance- This manifests the efficacy of auditory cues on gait disturbance. The proposed framework may be useful in diagnosing the severity of motor impairment.

源语言英语
主期刊名44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
出版商Institute of Electrical and Electronics Engineers Inc.
263-266
页数4
ISBN(电子版)9781728127828
DOI
出版状态已出版 - 2022
活动44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, 英国
期限: 11 7月 202215 7月 2022

出版系列

姓名Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2022-July
ISSN(印刷版)1557-170X

会议

会议44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
国家/地区英国
Glasgow
时期11/07/2215/07/22

指纹

探究 'A Novel Framework in Quantifying Oscillatory Coupling to Gait Disturbance in Parkinson's Disease' 的科研主题。它们共同构成独一无二的指纹。

引用此