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Porth E, Mattes A, Stahl J. Motor inhibition errors and interference suppression errors differ systematically on neural and behavioural features of response monitoring. Sci Rep 2024; 14:15966. [PMID: 38987364 PMCID: PMC11237018 DOI: 10.1038/s41598-024-66364-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024] Open
Abstract
Action inhibition and error commission are prominent in everyday life. Inhibition comprises at least two facets: motor inhibition and interference suppression. When motor inhibition fails, a strong response impulse cannot be inhibited. When interference suppression fails, we become distracted by irrelevant stimuli. We investigated the neural and behavioural similarities and differences between motor inhibition errors and interference suppression errors systematically from stimulus-onset to post-response adaptation. To enable a direct comparison between both error types, we developed a complex speeded choice task where we assessed the error types in two perceptually similar conditions. Comparing the error types along the processing stream showed that the P2, an early component in the event-related potential associated with sensory gating, is the first marker for differences between the two error types. Further error-specific variations were found for the parietal P3 (associated with context updating and attentional resource allocation), for the lateralized readiness potential (LRP, associated with primary motor cortex activity), and for the Pe (associated with error evidence accumulation). For motor inhibition errors, the P2, P3 and Pe tended to be enhanced compared to successful inhibition. The LRP for motor inhibition errors was marked by multiple small response impulses. For interference suppression errors, all components were more similar to those of successful inhibition. Together, these findings suggest that motor inhibition errors arise from a deficient early inhibitory process at the perceptual and motor level, and become more apparent than interference suppression errors, that arise from an impeded response selection process.
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Affiliation(s)
- Elisa Porth
- Department of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Cologne, Germany.
| | - André Mattes
- Department of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Cologne, Germany
| | - Jutta Stahl
- Department of Individual Differences and Psychological Assessment, University of Cologne, Pohligstraße 1, 50969, Cologne, Germany
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Hervault M, Wessel JR. Common and unique neurophysiological signatures for the stopping and revising of actions reveal the temporal dynamics of inhibitory control. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.18.597172. [PMID: 38948849 PMCID: PMC11212930 DOI: 10.1101/2024.06.18.597172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Inhibitory control is a crucial cognitive-control ability for behavioral flexibility that has been extensively investigated through action-stopping tasks. Multiple neurophysiological features have been proposed to represent 'signatures' of inhibitory control during action-stopping, though the processes signified by these signatures are still controversially discussed. The present study aimed to disentangle these processes by comparing simple stopping situations with those in which additional action revisions were needed. Three experiments in female and male humans were performed to characterize the neurophysiological dynamics involved in action-stopping and - changing, with hypotheses derived from recently developed two-stage 'pause-then-cancel' models of inhibitory control. Both stopping and revising an action triggered an early broad 'pause'-process, marked by frontal EEG β-bursts and non-selective suppression of corticospinal excitability. However, partial-EMG responses showed that motor activity was only partially inhibited by this 'pause', and that this activity can be further modulated during action-revision. In line with two-stage models of inhibitory control, subsequent frontocentral EEG activity after this initial 'pause' selectively scaled depending on the required action revisions, with more activity observed for more complex revisions. This demonstrates the presence of a selective, effector-specific 'retune' phase as the second process involved in action-stopping and -revision. Together, these findings show that inhibitory control is implemented over an extended period of time and in at least two phases. We are further able to align the most commonly proposed neurophysiological signatures to these phases and show that they are differentially modulated by the complexity of action-revision.
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Affiliation(s)
- Mario Hervault
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa 52242
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242
- Cognitive Control Collaborative, University of Iowa, Iowa City, Iowa 52242
| | - Jan R Wessel
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa 52242
- Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, Iowa 52242
- Cognitive Control Collaborative, University of Iowa, Iowa City, Iowa 52242
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Zhang Z, Peng P, Eickhoff SB, Lin X, Zhang D, Wang Y. Neural substrates of the executive function construct, age-related changes, and task materials in adolescents and adults: ALE meta-analyses of 408 fMRI studies. Dev Sci 2021; 24:e13111. [PMID: 33817920 DOI: 10.1111/desc.13111] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 03/10/2021] [Accepted: 03/16/2021] [Indexed: 12/21/2022]
Abstract
To explore the neural substrates of executive function (EF), we conducted an activation likelihood estimation meta-analysis of 408 functional magnetic resonance imaging studies (9639 participants, 7587 activation foci, 518 experimental contrasts) covering three fundamental EF subcomponents: inhibition, switching, and working memory. Our results found that activation common to all three EF subcomponents converged in the multiple-demand network across adolescence and adulthood. The function of EF with the multiple-demand network involved, especially for the prefrontal cortex and the parietal regions, could not be mature until adulthood. In adolescents, only working memory could be separable from common EF, whereas in adults, the three EF subcomponents could be separable from common EF. However, findings of switching in adolescents should be treated with substantial caution and may be exploratory due to limited data available on switching tasks. For task materials, inhibition and working memory showed both domain generality and domain specificity, undergirded by the multiple-demand network, as well as different brain regions in response to verbal and nonverbal task materials, respectively. In contrast, switching showed only domain generality with no activation specialized for either verbal or nonverbal task materials. These findings, taken together, support and contribute to the unitary-diverse nature of EF such that EF should be interpreted in an integrative model that relies on the integration of the EF construct, development, and task materials.
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Affiliation(s)
- Zheng Zhang
- Department of Special Education, The University of Texas at Austin, Austin, Texas, USA
| | - Peng Peng
- Department of Special Education, The University of Texas at Austin, Austin, Texas, USA
| | - Simon B Eickhoff
- Medical Faculty, Institute of Systems Neuroscience, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany.,Brain & Behaviour (INM-7), Institute of Neuroscience and Medicine, Research Centre Jülich, Jülich, Germany
| | - Xin Lin
- Department of Special Education, The University of Texas at Austin, Austin, Texas, USA
| | - Delong Zhang
- School of Psychology, Center for the Study of Applied Psychology, Key Laboratory of Mental Health and Cognitive Science of Guangdong Province, South China Normal University, Guangzhou, PR China
| | - Yingying Wang
- Department of Special Education and Communication Disorders, Neuroimaging for Language, Literacy, and Learning, College of Education and Human Science, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
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