Mu oscillations and motor imagery performance: A reflection of success, not ability

Author:

Chen Yvonne YORCID,Lambert Kathryn,Madan Christopher RORCID,Singhal Anthony

Abstract

AbstractMotor imagery, or our ability to imagine movement without actually engaging in the action, has been an increasingly popular tool in rehabilitation settings. Understanding its neural underpinning is crucial for further development of new interventions. Using scalp electroencephalography (EEG), many studies have shown that mu oscillations (8-13 Hz), a variant of the alpha band recorded over the motor cortex electrodes, are involved in both the imagination and performance of movements; however, the exact relationship between mu oscillations and motor imagery is unclear. To further our understanding of the functional significance of mu oscillations and their role in both motor learning and motor performance, our study sought to investigate how suppression in mu oscillations varies during a motor imagery task according to both within subject imagery success and between subject imagery ability. We examined EEG activity while a large sample of participants performed an objective test of motor imagery ability (Test of Ability in Movement Imagery, TAMI). Results demonstrated that mu oscillatory activity significantly decreased during successful imagery trials as compared to unsuccessful ones. However, the extent of reduction in mu oscillations did not correlate with individual imagery ability. These results provide further support for the involvement of mu oscillations in motor behaviours and indicate that suppression in mu oscillations may serve as an important index for determining successful motor imagery performance within an individual. The processes that underlie this success are likely similar to those that underlie successful motor execution, given motor imagery’s proposed functional equivalence to motor imagery.

Publisher

Cold Spring Harbor Laboratory

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3