Literature DB >> 22592305

Validation of a within-trial measure of the oculomotor stop process.

Samanthi C Goonetilleke1, Jeffrey P Wong, Brian D Corneil.   

Abstract

The countermanding (or stop signal) task requires subjects try to withhold a planned movement upon the infrequent presentation of a stop signal. We have previously proposed a within-trial measure of movement cancellation based on neck muscle recruitment during the cancellation of eye-head gaze shifts. Here, we examined such activity after either a bright or dim stop signal, a manipulation known to prolong the stop signal reaction time (SSRT). Regardless of stop signal intensity, subjects generated an appreciable number of head-only errors during successfully cancelled gaze shifts (compensatory eye-in-head motion ensured gaze stability), wherein subtle head motion toward a peripheral target was ultimately stopped by a braking pulse of antagonist neck muscle activity. Both the SSRT and timing of antagonist muscle recruitment relative to the stop signal increased for dim stop signals and decreased for longer stop signal delays. Moreover, we observed substantial variation in the distribution of antagonist muscle recruitment latencies across our sample. The magnitude and variance of the SSRTs and antagonist muscle recruitment latencies correlated positively across subjects, as did the within-subject changes across bright and dim stop signals. Finally, we fitted our behavioral data with a race model architecture that incorporated a lower threshold for initiating head movements. This model allowed us to estimate the efferent delay between the completion of a central stop process and the recruitment of antagonist neck muscles; the estimated efferent delay remained consistent within subjects across stop signal intensity. Overall, these results are consistent with the hypothesis that neck muscle recruitment during a specific subset of cancelled trials provides a peripheral expression of oculomotor cancellation on a single trial. In the discussion, we briefly speculate on the potential value of this measure for research in basic or clinical domains and consider current issues that limit more widespread use.

Mesh:

Year:  2012        PMID: 22592305     DOI: 10.1152/jn.00174.2012

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  9 in total

1.  A common control signal and a ballistic stage can explain the control of coordinated eye-hand movements.

Authors:  Atul Gopal; Aditya Murthy
Journal:  J Neurophysiol       Date:  2016-02-17       Impact factor: 2.714

Review 2.  Models of inhibitory control.

Authors:  Jeffrey D Schall; Thomas J Palmeri; Gordon D Logan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-04-19       Impact factor: 6.237

Review 3.  Microsaccade production during saccade cancelation in a stop-signal task.

Authors:  David C Godlove; Jeffrey D Schall
Journal:  Vision Res       Date:  2014-11-06       Impact factor: 1.886

4.  On Stopping Voluntary Muscle Relaxations and Contractions: Evidence for Shared Control Mechanisms and Muscle State-Specific Active Breaking.

Authors:  Jack De Havas; Sho Ito; Hiroaki Gomi
Journal:  J Neurosci       Date:  2020-07-01       Impact factor: 6.167

Review 5.  Partial response electromyography as a marker of action stopping.

Authors:  Liisa Raud; Christina Thunberg; René J Huster
Journal:  Elife       Date:  2022-05-26       Impact factor: 8.713

6.  Temporal cascade of frontal, motor and muscle processes underlying human action-stopping.

Authors:  Sumitash Jana; Ricci Hannah; Vignesh Muralidharan; Adam R Aron
Journal:  Elife       Date:  2020-03-18       Impact factor: 8.140

7.  Active Braking of Whole-Arm Reaching Movements Provides Single-Trial Neuromuscular Measures of Movement Cancellation.

Authors:  Jeroen Atsma; Femke Maij; Chao Gu; W Pieter Medendorp; Brian D Corneil
Journal:  J Neurosci       Date:  2018-04-10       Impact factor: 6.167

8.  Stopping eyes and hands: evidence for non-independence of stop and go processes and for a separation of central and peripheral inhibition.

Authors:  Alessandro Gulberti; Petra A Arndt; Hans Colonius
Journal:  Front Hum Neurosci       Date:  2014-02-18       Impact factor: 3.169

Review 9.  Computational Mechanisms Mediating Inhibitory Control of Coordinated Eye-Hand Movements.

Authors:  Sumitash Jana; Atul Gopal; Aditya Murthy
Journal:  Brain Sci       Date:  2021-05-10
  9 in total

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