The pre-supplementary motor area achieves inhibitory control by modulating response thresholds

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

The pre-supplementary motor area achieves inhibitory control by modulating response thresholds. / Wolpe, Noham; Hezemans, Frank H.; Rae, Charlotte L.; Zhang, Jiaxiang; Rowe, James B.

In: Cortex, Vol. 152, 2022, p. 98-108.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Wolpe, N, Hezemans, FH, Rae, CL, Zhang, J & Rowe, JB 2022, 'The pre-supplementary motor area achieves inhibitory control by modulating response thresholds', Cortex, vol. 152, pp. 98-108. https://doi.org/10.1016/j.cortex.2022.03.018

APA

Wolpe, N., Hezemans, F. H., Rae, C. L., Zhang, J., & Rowe, J. B. (2022). The pre-supplementary motor area achieves inhibitory control by modulating response thresholds. Cortex, 152, 98-108. https://doi.org/10.1016/j.cortex.2022.03.018

Vancouver

Wolpe N, Hezemans FH, Rae CL, Zhang J, Rowe JB. The pre-supplementary motor area achieves inhibitory control by modulating response thresholds. Cortex. 2022;152:98-108. https://doi.org/10.1016/j.cortex.2022.03.018

Author

Wolpe, Noham ; Hezemans, Frank H. ; Rae, Charlotte L. ; Zhang, Jiaxiang ; Rowe, James B. / The pre-supplementary motor area achieves inhibitory control by modulating response thresholds. In: Cortex. 2022 ; Vol. 152. pp. 98-108.

Bibtex

@article{38fc5f7a3cbe41cdbaadab57a6966279,
title = "The pre-supplementary motor area achieves inhibitory control by modulating response thresholds",
abstract = "The pre-supplementary motor area (pre-SMA) is central for the initiation and inhibition of voluntary action. For the execution of action, the pre-SMA optimises the decision of which action to choose by adjusting the thresholds for the required evidence for each choice. However, it remains unclear how the pre-SMA contributes to action inhibition. Here, we use computational modelling of a stop/no-go task, performed by an adult with a focal lesion in the pre-SMA, and 52 age-matched controls. We show that the patient required more time to successfully inhibit an action (longer stop-signal reaction time) but was faster in terms of go reaction times. Computational modelling revealed that the patient's failure to stop was explained by a significantly lower response threshold for initiating an action, as compared to controls, suggesting that the patient needed less evidence before committing to an action. A similarly specific impairment was also observed for the decision of which action to choose. Together, our results suggest that dynamic threshold modulation may be a general mechanism by which the pre-SMA exerts its control over voluntary action.",
keywords = "Bayesian hierarchical modelling, Focal lesion, Inhibitory control, Pre-SMA, Voluntary action",
author = "Noham Wolpe and Hezemans, {Frank H.} and Rae, {Charlotte L.} and Jiaxiang Zhang and Rowe, {James B.}",
note = "Publisher Copyright: {\textcopyright} 2022 The Author(s)",
year = "2022",
doi = "10.1016/j.cortex.2022.03.018",
language = "English",
volume = "152",
pages = "98--108",
journal = "Cortex",
issn = "0010-9452",
publisher = "Elsevier Masson",

}

RIS

TY - JOUR

T1 - The pre-supplementary motor area achieves inhibitory control by modulating response thresholds

AU - Wolpe, Noham

AU - Hezemans, Frank H.

AU - Rae, Charlotte L.

AU - Zhang, Jiaxiang

AU - Rowe, James B.

N1 - Publisher Copyright: © 2022 The Author(s)

PY - 2022

Y1 - 2022

N2 - The pre-supplementary motor area (pre-SMA) is central for the initiation and inhibition of voluntary action. For the execution of action, the pre-SMA optimises the decision of which action to choose by adjusting the thresholds for the required evidence for each choice. However, it remains unclear how the pre-SMA contributes to action inhibition. Here, we use computational modelling of a stop/no-go task, performed by an adult with a focal lesion in the pre-SMA, and 52 age-matched controls. We show that the patient required more time to successfully inhibit an action (longer stop-signal reaction time) but was faster in terms of go reaction times. Computational modelling revealed that the patient's failure to stop was explained by a significantly lower response threshold for initiating an action, as compared to controls, suggesting that the patient needed less evidence before committing to an action. A similarly specific impairment was also observed for the decision of which action to choose. Together, our results suggest that dynamic threshold modulation may be a general mechanism by which the pre-SMA exerts its control over voluntary action.

AB - The pre-supplementary motor area (pre-SMA) is central for the initiation and inhibition of voluntary action. For the execution of action, the pre-SMA optimises the decision of which action to choose by adjusting the thresholds for the required evidence for each choice. However, it remains unclear how the pre-SMA contributes to action inhibition. Here, we use computational modelling of a stop/no-go task, performed by an adult with a focal lesion in the pre-SMA, and 52 age-matched controls. We show that the patient required more time to successfully inhibit an action (longer stop-signal reaction time) but was faster in terms of go reaction times. Computational modelling revealed that the patient's failure to stop was explained by a significantly lower response threshold for initiating an action, as compared to controls, suggesting that the patient needed less evidence before committing to an action. A similarly specific impairment was also observed for the decision of which action to choose. Together, our results suggest that dynamic threshold modulation may be a general mechanism by which the pre-SMA exerts its control over voluntary action.

KW - Bayesian hierarchical modelling

KW - Focal lesion

KW - Inhibitory control

KW - Pre-SMA

KW - Voluntary action

U2 - 10.1016/j.cortex.2022.03.018

DO - 10.1016/j.cortex.2022.03.018

M3 - Journal article

C2 - 35550936

AN - SCOPUS:85129706116

VL - 152

SP - 98

EP - 108

JO - Cortex

JF - Cortex

SN - 0010-9452

ER -

ID: 314064074