Early rise and persistent inhibition of electromyography during failed stopping

Author:

Fisher Mitchell,Trinh Hoa,O’Neill Jessica,Greenhouse IanORCID

Abstract

ABSTRACTReactively canceling movements is a vital feature of the motor system to ensure safety. This behavior can be studied in the laboratory using the stop signal task. There remains ambiguity about whether a “point-of-no-return” exists, after which a response cannot be aborted. A separate question concerns whether motor system inhibition associated with attempted stopping persists when stopping is unsuccessful. We address these two questions using electromyography (EMG) in two stop signal task experiments. Experiment 1 (n = 24) involved simple right and left index finger responses in separate task blocks. Experiment 2 (n = 28) involved a response choice between the right index and pinky fingers. To evaluate the approximate point-of-no-return, we measured EMG in responding fingers during the 100 ms preceding the stop signal and observed significantly greater EMG amplitudes during failed than successful stop trials in both experiments. Thus, EMG differentiated failed from successful stopping prior to the stop signal, regardless of whether there was a response choice. To address whether motor inhibition persists after failed stopping, we assessed EMG peak-to-offset durations and slopes (i.e., the rate of EMG decline) for go, failed stop, and successful stop (partial response EMG) trials. EMG peak-to-offset was shorter and steeper in failed stop trials compared to go and successful stop partial response EMG trials, suggesting motor inhibition persists even when failing to stop. These findings indicate EMG is sensitive to a point at which participants can no longer successfully stop an ongoing movement and suggest the peak-to-offset time of response-related EMG activity during failed stopping reflects stopping-related inhibition.

Publisher

Cold Spring Harbor Laboratory

Cited by 2 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