Literature DB >> 31987997

Differences in unity: The go/no-go and stop signal tasks rely on different mechanisms.

Liisa Raud1, René Westerhausen2, Niamh Dooley3, René J Huster4.   

Abstract

Response inhibition refers to the suppression of prepared or initiated actions. Typically, the go/no-go task (GNGT) or the stop signal task (SST) are used interchangeably to capture individual differences in response inhibition. On the one hand, factor analytic and conjunction neuroimaging studies support the association of both tasks with a single inhibition construct. On the other hand, studies that directly compare the two tasks indicate distinct mechanisms, corresponding to action restraint and cancellation in the GNGT and SST, respectively. We addressed these contradictory findings with the aim to identify the core differences in the temporal dynamics of the functional networks that are recruited in both tasks. We extracted the time-courses of sensory, motor, attentional, and cognitive control networks by group independent component (G-ICA) analysis of electroencephalography (EEG) data from both tasks. Additionally, electromyography (EMG) from the responding effector muscles was recorded to detect the timing of response inhibition. The results indicated that inhibitory performance in the GNGT may be comparable to response selection mechanisms, reaching peripheral muscles at around 316 ​ms. In contrast, inhibitory performance in the SST is achieved via biasing of the sensorimotor system in preparation for stopping, followed by fast sensory, motor and frontal integration during outright stopping. Inhibition can be detected at the peripheral level at 140 ​ms after stop stimulus presentation. The GNGT and the SST therefore seem to recruit widely different neural dynamics, implying that the interchangeable use of superficially similar inhibition tasks in both basic and clinical research is unwarranted.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Keywords:  EEG; EMG; Go/no-go task; Group ICA; Response inhibition; Stop signal task

Mesh:

Year:  2020        PMID: 31987997     DOI: 10.1016/j.neuroimage.2020.116582

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  19 in total

1.  Is motor inhibition involved in the processing of sentential negation? An assessment via the Stop-Signal Task.

Authors:  Martina Montalti; Marta Calbi; Valentina Cuccio; Maria Alessandra Umiltà; Vittorio Gallese
Journal:  Psychol Res       Date:  2021-04-27

2.  Common and Unique Inhibitory Control Signatures of Action-Stopping and Attentional Capture Suggest That Actions Are Stopped in Two Stages.

Authors:  Joshua R Tatz; Cheol Soh; Jan R Wessel
Journal:  J Neurosci       Date:  2021-09-07       Impact factor: 6.167

3.  A Single Mechanism for Global and Selective Response Inhibition under the Influence of Motor Preparation.

Authors:  Liisa Raud; René J Huster; Richard B Ivry; Ludovica Labruna; Mari S Messel; Ian Greenhouse
Journal:  J Neurosci       Date:  2020-09-14       Impact factor: 6.167

4.  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

5.  The Specificity of Inhibitory Control Deficits in Post-Traumatic Stress Disorder: A Dissociation Between the Speed and Reliability of Stopping.

Authors:  Diane Swick; Victoria Ashley
Journal:  J Anxiety Disord       Date:  2020-08-01

Review 6.  Towards real-world generalizability of a circuit for action-stopping.

Authors:  Ricci Hannah; Adam R Aron
Journal:  Nat Rev Neurosci       Date:  2021-07-29       Impact factor: 34.870

7.  Double-blind disruption of right inferior frontal cortex with TMS reduces right frontal beta power for action stopping.

Authors:  Kelsey K Sundby; Sumitash Jana; Adam R Aron
Journal:  J Neurophysiol       Date:  2020-10-28       Impact factor: 2.714

8.  Entropy and Multifractal-Multiscale Indices of Heart Rate Time Series to Evaluate Intricate Cognitive-Autonomic Interactions.

Authors:  Pierre Bouny; Laurent M Arsac; Emma Touré Cuq; Veronique Deschodt-Arsac
Journal:  Entropy (Basel)       Date:  2021-05-25       Impact factor: 2.524

9.  Neurocognitive abilities associated with antisocial behavior with and without callous-unemotional traits in a community sample.

Authors:  Hailey L Dotterer; Rachel C Tomlinson; S Alexandra Burt; Alexander S Weigard; Kelly L Klump; Luke W Hyde
Journal:  Neuropsychology       Date:  2021-05       Impact factor: 3.295

10.  Confirmation of age-related alterations in inhibitory control using a modified minimally delayed oculomotor response (MDOR) task.

Authors:  Paul C Knox; Dongmei Liang
Journal:  PeerJ       Date:  2021-06-16       Impact factor: 2.984

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.