Literature DB >> 28647596

Testing the physiological plausibility of conflicting psychological models of response inhibition: A forward inference fMRI study.

Marion Criaud1, Marieke Longcamp2, Jean-Luc Anton3, Bruno Nazarian3, Muriel Roth3, Guillaume Sescousse4, Antonio P Strafella5, Bénédicte Ballanger6, Philippe Boulinguez7.   

Abstract

The neural mechanisms underlying response inhibition and related disorders are unclear and controversial for several reasons. First, it is a major challenge to assess the psychological bases of behaviour, and ultimately brain-behaviour relationships, of a function which is precisely intended to suppress overt measurable behaviours. Second, response inhibition is difficult to disentangle from other parallel processes involved in more general aspects of cognitive control. Consequently, different psychological and anatomo-functional models coexist, which often appear in conflict with each other even though they are not necessarily mutually exclusive. The standard model of response inhibition in go/no-go tasks assumes that inhibitory processes are reactively and selectively triggered by the stimulus that participants must refrain from reacting to. Recent alternative models suggest that action restraint could instead rely on reactive but non-selective mechanisms (all automatic responses are automatically inhibited in uncertain contexts) or on proactive and non-selective mechanisms (a gating function by which reaction to any stimulus is prevented in anticipation of stimulation when the situation is unpredictable). Here, we assessed the physiological plausibility of these different models by testing their respective predictions regarding event-related BOLD modulations (forward inference using fMRI). We set up a single fMRI design which allowed for us to record simultaneously the different possible forms of inhibition while limiting confounds between response inhibition and parallel cognitive processes. We found BOLD dynamics consistent with non-selective models. These results provide new theoretical and methodological lines of inquiry for the study of basic functions involved in behavioural control and related disorders.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Forward inference; Go/no-go; Non-selective inhibition; Proactive control; Reactive control; Selective inhibition

Mesh:

Substances:

Year:  2017        PMID: 28647596     DOI: 10.1016/j.bbr.2017.06.030

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  8 in total

1.  Evidence for non-selective response inhibition in uncertain contexts revealed by combined meta-analysis and Bayesian analysis of fMRI data.

Authors:  Ruslan Masharipov; Alexander Korotkov; Svyatoslav Medvedev; Maxim Kireev
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

2.  Inhibitory framing in hypersexual patients with Parkinson's disease. An fMRI pilot study.

Authors:  Hendrik Theis; Catharina Probst; Anna Campabadal; Katharina S Goerlich; Oliver Granert; Stephan Wolff; Karsten Witt; Günther Deuschl; Thilo van Eimeren
Journal:  Exp Brain Res       Date:  2022-06-28       Impact factor: 2.064

3.  The fronto-central N2 but not parietal P3 reflects response inhibition in the count/no-count task.

Authors:  Jingyan Jing; Zhuyun Zhang; Mingming Qi; Heming Gao
Journal:  Psychol Res       Date:  2021-08-06

4.  The Human Basal Ganglia Mediate the Interplay between Reactive and Proactive Control of Response through Both Motor Inhibition and Sensory Modulation.

Authors:  Marion Criaud; Jean-Luc Anton; Bruno Nazarian; Marieke Longcamp; Elise Metereau; Philippe Boulinguez; Bénédicte Ballanger
Journal:  Brain Sci       Date:  2021-04-28

5.  Noradrenaline and Movement Initiation Disorders in Parkinson's Disease: A Pharmacological Functional MRI Study with Clonidine.

Authors:  Marion Criaud; Chloé Laurencin; Alice Poisson; Elise Metereau; Jérôme Redouté; Stéphane Thobois; Philippe Boulinguez; Bénédicte Ballanger
Journal:  Cells       Date:  2022-08-25       Impact factor: 7.666

6.  Objective assessment of impulse control disorder in patients with Parkinson's disease using a low-cost LEGO-like EEG headset: a feasibility study.

Authors:  Yuan-Pin Lin; Hsing-Yi Liang; Yueh-Sheng Chen; Cheng-Hsien Lu; Yih-Ru Wu; Yung-Yee Chang; Wei-Che Lin
Journal:  J Neuroeng Rehabil       Date:  2021-07-02       Impact factor: 4.262

7.  Proactive Inhibition Activation Depends on Motor Preparation: A Single Pulse TMS Study.

Authors:  Stefania C Ficarella; Lorella Battelli
Journal:  Front Psychol       Date:  2018-10-05

8.  Segregating sustained attention from response inhibition in ADHD: An fMRI study.

Authors:  Soonjo Hwang; Harma Meffert; Ian Parsley; Patrick M Tyler; Anna K Erway; Mary L Botkin; Kayla Pope; R J R Blair
Journal:  Neuroimage Clin       Date:  2019-01-15       Impact factor: 4.881

  8 in total

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