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Schröder E, Ingels A, Dumitrescu A, Kornreich C, Campanella S. Proactive and Reactive Inhibitory Control Strategies: Exploring the Impact of Interindividual Variables on an ERP Continuous Performance Task (AX-CPT). Clin EEG Neurosci 2024; 55:317-328. [PMID: 36562088 DOI: 10.1177/15500594221145905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
According to the Dual Mechanisms of Control (DMC) framework, cognitive control can be divided into two strategies: proactive cognitive control, which relies mainly on the active maintenance of contextual information relevant to the ongoing task; and reactive cognitive control, which is a form of transient control triggered by an external cue. Although cognitive control has been studied extensively, little is known about the specificities of inhibition within the framework of the DMC model and the influence of interindividual variables on inhibitory control.Thanks to an inhibitory version of the continuous performance task (CPT), we studied behavioral performances and Event-Related Potentials (ERPs) related to proactive and reactive inhibition, and their links to psychological profile and cognitive performances. One hundred and five young adults underwent the task, along with a short clinical and cognitive evaluation.We were able to observe ERPs related to proactive (cue-N1, cue-N2, cue-P3, and the contingent negative variation) and reactive inhibitory control (target-N2 and target-P3). Our results showed that proactive strategies appeared to be linked with impulsivity, working memory abilities, dominant response inhibition, gender, and the consumption pattern of nicotine. Reactive strategies appeared to be linked with attentional and working memories abilities.Overall, the inhibitory AX-CPT allowed a specific investigation of cognitive control within the framework of the DMC based on behavioral and ERP variables. This provided us an opportunity to investigate the principal ERP components related to proactive and reactive inhibitory control strategies as well as to link them with specific clinical and cognitive variables.
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Affiliation(s)
- Elisa Schröder
- Laboratory of Medical Psychology and Addictology, CHU Brugmann, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Anais Ingels
- Laboratory of Medical Psychology and Addictology, CHU Brugmann, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Alexandru Dumitrescu
- Laboratoire de Cartographie Fonctionnelle du Cerveau, Hôpital Erasme, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Charles Kornreich
- Laboratory of Medical Psychology and Addictology, CHU Brugmann, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Salvatore Campanella
- Laboratory of Medical Psychology and Addictology, CHU Brugmann, ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium
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2
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Zech H, Waltmann M, Lee Y, Reichert M, Bedder RL, Rutledge RB, Deeken F, Wenzel J, Wedemeyer F, Aguilera A, Aslan A, Bach P, Bahr NS, Ebrahimi C, Fischbach PC, Ganz M, Garbusow M, Großkopf CM, Heigert M, Hentschel A, Belanger M, Karl D, Pelz P, Pinger M, Riemerschmid C, Rosenthal A, Steffen J, Strehle J, Weiss F, Wieder G, Wieland A, Zaiser J, Zimmermann S, Liu S, Goschke T, Walter H, Tost H, Lenz B, Andoh J, Ebner-Priemer U, Rapp MA, Heinz A, Dolan R, Smolka MN, Deserno L. Measuring self-regulation in everyday life: Reliability and validity of smartphone-based experiments in alcohol use disorder. Behav Res Methods 2023; 55:4329-4342. [PMID: 36508108 PMCID: PMC10700450 DOI: 10.3758/s13428-022-02019-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2022] [Indexed: 12/14/2022]
Abstract
Self-regulation, the ability to guide behavior according to one's goals, plays an integral role in understanding loss of control over unwanted behaviors, for example in alcohol use disorder (AUD). Yet, experimental tasks that measure processes underlying self-regulation are not easy to deploy in contexts where such behaviors usually occur, namely outside the laboratory, and in clinical populations such as people with AUD. Moreover, lab-based tasks have been criticized for poor test-retest reliability and lack of construct validity. Smartphones can be used to deploy tasks in the field, but often require shorter versions of tasks, which may further decrease reliability. Here, we show that combining smartphone-based tasks with joint hierarchical modeling of longitudinal data can overcome at least some of these shortcomings. We test four short smartphone-based tasks outside the laboratory in a large sample (N = 488) of participants with AUD. Although task measures indeed have low reliability when data are analyzed traditionally by modeling each session separately, joint modeling of longitudinal data increases reliability to good and oftentimes excellent levels. We next test the measures' construct validity and show that extracted latent factors are indeed in line with theoretical accounts of cognitive control and decision-making. Finally, we demonstrate that a resulting cognitive control factor relates to a real-life measure of drinking behavior and yields stronger correlations than single measures based on traditional analyses. Our findings demonstrate how short, smartphone-based task measures, when analyzed with joint hierarchical modeling and latent factor analysis, can overcome frequently reported shortcomings of experimental tasks.
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Affiliation(s)
- Hilmar Zech
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany.
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Centre of Mental Health, University of Würzburg, Margarete-Höppel-Platz 1, 97080, Würzburg, Germany.
| | - Maria Waltmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Centre of Mental Health, University of Würzburg, Margarete-Höppel-Platz 1, 97080, Würzburg, Germany
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1, 04103, Leipzig, Germany
| | - Ying Lee
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
- Wellcome Centre for Neuroimaging (WCHN), University College London, London, UK
| | - Markus Reichert
- Department of eHealth and Sports Analytics, Faculty of Sport Science, Ruhr-Universität Bochum (RUB), Bochum, Germany
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Rachel L Bedder
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
- Wellcome Centre for Neuroimaging (WCHN), University College London, London, UK
- Neuroscience Institute & Department of Psychology, Princeton University, Princeton, NJ, USA
| | - Robb B Rutledge
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
- Wellcome Centre for Neuroimaging (WCHN), University College London, London, UK
- Department of Psychology, Yale University, New Haven, CT, USA
| | - Friederike Deeken
- Social and Preventive Medicine, Department of Sports and Health Sciences, Intra-faculty unit "Cognitive Sciences", Faculty of Human Science, and Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany
| | - Julia Wenzel
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Friederike Wedemeyer
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Alvaro Aguilera
- Center for Information Services and High Performance Computing (ZIH), Technische Universität Dresden, Dresden, Germany
| | - Acelya Aslan
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patrick Bach
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Nadja S Bahr
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Claudia Ebrahimi
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | | | - Marvin Ganz
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maria Garbusow
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | | | - Marie Heigert
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Angela Hentschel
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Matthew Belanger
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Damian Karl
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Patricia Pelz
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Mathieu Pinger
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Carlotta Riemerschmid
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Annika Rosenthal
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Johannes Steffen
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Jens Strehle
- Center for Information Services and High Performance Computing (ZIH), Technische Universität Dresden, Dresden, Germany
| | - Franziska Weiss
- Department of Clinical Psychology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Gesine Wieder
- Center for Information Services and High Performance Computing (ZIH), Technische Universität Dresden, Dresden, Germany
| | - Alfred Wieland
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Judith Zaiser
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sina Zimmermann
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Shuyan Liu
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Thomas Goschke
- Department of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Heike Tost
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Bernd Lenz
- Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jamila Andoh
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Ulrich Ebner-Priemer
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Michael A Rapp
- Social and Preventive Medicine, Department of Sports and Health Sciences, Intra-faculty unit "Cognitive Sciences", Faculty of Human Science, and Faculty of Health Sciences Brandenburg, Research Area Services Research and e-Health, University of Potsdam, Potsdam, Germany
| | - Andreas Heinz
- Department of Psychiatry and Neurosciences | CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Pediatric Surgery, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Ray Dolan
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, UK
- Wellcome Centre for Neuroimaging (WCHN), University College London, London, UK
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
- BIH Visiting Professor, Stiftung Charité, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin, Berlin, Germany
| | - Michael N Smolka
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany
| | - Lorenz Deserno
- Department of Psychiatry, Technische Universität Dresden, Dresden, Germany.
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Centre of Mental Health, University of Würzburg, Margarete-Höppel-Platz 1, 97080, Würzburg, Germany.
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1, 04103, Leipzig, Germany.
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Pearce AL, Hallisky K, Rolls BJ, Wilson SJ, Rose E, Geier CF, Garavan H, Keller KL. Children at high familial risk for obesity show executive functioning deficits prior to development of excess weight status. Obesity (Silver Spring) 2023; 31:2998-3007. [PMID: 37794530 PMCID: PMC10884994 DOI: 10.1002/oby.23892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/16/2023] [Accepted: 05/29/2023] [Indexed: 10/06/2023]
Abstract
OBJECTIVE The objective of this study was to determine whether children with healthy weight who vary by familial risk for obesity differ in executive functioning. METHODS Children (age 7-8 years) without obesity (n = 93, 52% male) who differed by familial risk for obesity (based on maternal weight status) completed go/no-go and stop-signal tasks to assess inhibitory control and an N-back task to assess working memory. Dual energy x-ray absorptiometry measured adiposity. Linear and mixed-effect models assessed unique effects and relative importance analysis-quantified relative effects of familial risk and percent body fat. RESULTS Children at high compared with low familial risk showed worse inhibitory control; however, child adiposity was not associated with inhibitory control. Both high familial risk and greater child adiposity were associated with worse N-back performance when cognitive demand was high (2-back), but not low (0- and 1-back). The relative effect of familial risk on executive functioning was 2.7 to 16 times greater than the relative effect of percent body fat. CONCLUSIONS These findings provide initial evidence that deficits in executive functioning may precede the development of obesity in children at high familial risk for this disease. Additional family risk studies are needed to elucidate the pathways through which maternal obesity influences child executive functioning and risk for obesity.
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Affiliation(s)
- Alaina L Pearce
- Department of Nutritional Science, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Kyle Hallisky
- Department of Nutritional Science, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Barbara J Rolls
- Department of Nutritional Science, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Stephen J Wilson
- Department of Psychology, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Emma Rose
- Edna Bennett Pierce Prevention Research Center, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Charles F Geier
- Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Hugh Garavan
- Department of Psychological Sciences, University of Vermont, Burlington, Vermont, USA
| | - Kathleen L Keller
- Department of Nutritional Science, Pennsylvania State University, University Park, Pennsylvania, USA
- Department of Food Science, Pennsylvania State University, University Park, Pennsylvania, USA
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4
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Salomoni SE, Gronau QF, Heathcote A, Matzke D, Hinder MR. Proactive cues facilitate faster action reprogramming, but not stopping, in a response-selective stop signal task. Sci Rep 2023; 13:19564. [PMID: 37949974 PMCID: PMC10638309 DOI: 10.1038/s41598-023-46592-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 11/02/2023] [Indexed: 11/12/2023] Open
Abstract
The ability to stop simple ongoing actions has been extensively studied using the stop signal task, but less is known about inhibition in more complex scenarios. Here we used a task requiring bimanual responses to go stimuli, but selective inhibition of only one of those responses following a stop signal. We assessed how proactive cues affect the nature of both the responding and stopping processes, and the well-documented stopping delay (interference effect) in the continuing action following successful stopping. In this task, estimates of the speed of inhibition based on a simple-stopping model are inappropriate, and have produced inconsistent findings about the effects of proactive control on motor inhibition. We instead used a multi-modal approach, based on improved methods of detecting and interpreting partial electromyographical responses and the recently proposed SIS (simultaneously inhibit and start) model of selective stopping behaviour. Our results provide clear and converging evidence that proactive cues reduce the stopping delay effect by slowing bimanual responses and speeding unimanual responses, with a negligible effect on the speed of the stopping process.
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Affiliation(s)
- Sauro E Salomoni
- Sensorimotor Neuroscience and Ageing Research Laboratory, School of Psychological Sciences, University of Tasmania, Hobart, Australia.
| | - Quentin F Gronau
- School of Psychological Sciences, The University of Newcastle, Newcastle, Australia
| | - Andrew Heathcote
- School of Psychological Sciences, The University of Newcastle, Newcastle, Australia
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Dora Matzke
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Mark R Hinder
- Sensorimotor Neuroscience and Ageing Research Laboratory, School of Psychological Sciences, University of Tasmania, Hobart, Australia
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Mattioni L, Spada MM, Ferri F, Sestieri C. The relationship between perseverative thinking, proactive control, and inhibition in psychological distress: a study in a women's cohort. Sci Rep 2023; 13:19319. [PMID: 37935825 PMCID: PMC10630504 DOI: 10.1038/s41598-023-46713-9] [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: 03/03/2023] [Accepted: 11/03/2023] [Indexed: 11/09/2023] Open
Abstract
Cognitive control is a core feature of several mental disorders. A recent account poses that health problems may derive from proactive forms of cognitive control that maintain stress representation over time. The working hypothesis of the present study is that psychological distress is caused by the tendency to select a particular maladaptive self-regulation strategy over time, namely perseverative thinking, rather than by transient stimulus-response patterns. To test this hypothesis, we asked 84 women to carry out a battery of standardized questionnaires regarding their tendency to undertake perseverative thinking and their level of psychological distress, followed by cognitive tasks measuring the tendency to use proactive versus reactive control modality and disinhibition. Through a series of mediation analyses, we demonstrate that the tendency to use proactive control correlates with psychological distress and that this relation is mediated by perseverative thinking. Moreover, we show that the relation between low inhibitory control and psychological stress is more strongly mediated by perseverative thinking than impulsiveness, a classical construct that focuses on more transient reactions to stimuli. The present results underline the importance of considering psychological distress as the consequence of a maladaptive way of applying control over time, rather than the result of a general deficit in cognitive control abilities.
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Affiliation(s)
- Lorenzo Mattioni
- Department of Neuroscience, Imaging and Clinical Sciences - and ITAB, Institute for Advanced Biomedical Technologies, University G. d'Annunzio di Chieti-Pescara, Via Dei Vestini 11, 66100, Chieti, Italy.
| | | | - Francesca Ferri
- Department of Neuroscience, Imaging and Clinical Sciences - and ITAB, Institute for Advanced Biomedical Technologies, University G. d'Annunzio di Chieti-Pescara, Via Dei Vestini 11, 66100, Chieti, Italy
| | - Carlo Sestieri
- Department of Neuroscience, Imaging and Clinical Sciences - and ITAB, Institute for Advanced Biomedical Technologies, University G. d'Annunzio di Chieti-Pescara, Via Dei Vestini 11, 66100, Chieti, Italy
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6
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Weber S, Salomoni SE, Kilpatrick C, Hinder MR. Dissociating attentional capture from action cancellation during the inhibition of bimanual movement. Psychophysiology 2023; 60:e14372. [PMID: 37366262 DOI: 10.1111/psyp.14372] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/27/2023] [Accepted: 06/08/2023] [Indexed: 06/28/2023]
Abstract
Inhibiting ongoing responses when environmental demands change is a critical component of motor control. Experimentally, the stop signal task (SST) represents the gold standard response inhibition paradigm. However, an emerging body of evidence suggests that the SST conflates two dissociable sources of inhibition, namely an involuntarily pause associated with attentional capture and the (subsequent) voluntary cancellation of action. The extent to which these processes also occur in other response tasks is unknown. Younger n = 24 (20-35 years) and older n = 23 (60-85 years) adults completed tasks involving rapid unimanual or bimanual responses to visual stimuli. A subset of trials required cancellation of one component of an initial bimanual response (i.e., selective stop task; stop left response, continue right response) or enacting an additional response (e.g., press left button as well as right button). Critically, both tasks involved some infrequent stimuli baring no behavioral imperative (i.e., they had to be ignored). EMG recordings of voluntary responses during stopping tasks revealed bimanual covert responses (muscle activation, which was suppressed before a button press ensued), consistent with a pause process, following both stop and ignore stimuli, before the required response was subsequently enacted. Critically, we also observed the behavioral consequences of a similar involuntary pause in trials where action cancellation was not part of the response set. Notably, the period over which movements were susceptible to response delays from additional stimuli was longer for older adults than younger adults. The findings demonstrate that an involuntary attentional component of inhibition significantly contributes to action cancellation processes.
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Affiliation(s)
- Simon Weber
- Sensorimotor Neuroscience and Aging Research Lab, The University of Tasmania, Hobart, Tasmania, Australia
| | - Sauro E Salomoni
- Sensorimotor Neuroscience and Aging Research Lab, The University of Tasmania, Hobart, Tasmania, Australia
| | - Callum Kilpatrick
- Sensorimotor Neuroscience and Aging Research Lab, The University of Tasmania, Hobart, Tasmania, Australia
| | - Mark R Hinder
- Sensorimotor Neuroscience and Aging Research Lab, The University of Tasmania, Hobart, Tasmania, Australia
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Hanley CJ, Burns N, Thomas HR, Marstaller L, Burianová H. The effects of age bias on neural correlates of successful and unsuccessful response inhibition in younger and older adults. Neurobiol Aging 2023; 131:1-10. [PMID: 37535985 DOI: 10.1016/j.neurobiolaging.2023.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 07/04/2023] [Accepted: 07/04/2023] [Indexed: 08/05/2023]
Abstract
Facilitating communication between generations has become increasingly important. However, individuals often demonstrate a preference for their own age group, which can impact social interactions, and such bias in young adults even extends to inhibitory control. To assess whether older adults also experience this phenomenon, a group of younger and older adults completed a Go/NoGo task incorporating young and old faces, while undergoing functional magnetic resonance imaging. Within the networks subserving successful and unsuccessful response inhibition, patterns of activity demonstrated distinct neural age bias effects in each age group. During successful inhibition, the older adult group demonstrated significantly increased activity to other-age faces, whereas unsuccessful inhibition in the younger group produced significantly enhanced activity to other-age faces. Consequently, the findings of the study confirm that neural responses to successful and unsuccessful inhibition can be contingent on the stimulus-specific attribute of age in both younger and older adults. These findings have important implications in regard to minimizing the emergence of negative consequences, such as ageism, as a result of related implicit biases.
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Affiliation(s)
| | - Natasha Burns
- School of Psychology, Swansea University, Swansea, UK; Department of Psychology, Bournemouth University, Bournemouth, UK
| | - Hannah R Thomas
- School of Psychology, Swansea University, Swansea, UK; Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK
| | - Lars Marstaller
- Department of Psychology, Bournemouth University, Bournemouth, UK
| | - Hana Burianová
- School of Psychology, Swansea University, Swansea, UK; Department of Psychology, Bournemouth University, Bournemouth, UK; Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
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8
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Lee RSC, Albertella L, Christensen E, Suo C, Segrave RA, Brydevall M, Kirkham R, Liu C, Fontenelle LF, Chamberlain SR, Rotaru K, Yücel M. A Novel, Expert-Endorsed, Neurocognitive Digital Assessment Tool for Addictive Disorders: Development and Validation Study. J Med Internet Res 2023; 25:e44414. [PMID: 37624635 PMCID: PMC7615064 DOI: 10.2196/44414] [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: 11/18/2022] [Revised: 02/16/2023] [Accepted: 07/22/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Many people with harmful addictive behaviors may not meet formal diagnostic thresholds for a disorder. A dimensional approach, by contrast, including clinical and community samples, is potentially key to early detection, prevention, and intervention. Importantly, while neurocognitive dysfunction underpins addictive behaviors, established assessment tools for neurocognitive assessment are lengthy and unengaging, difficult to administer at scale, and not suited to clinical or community needs. The BrainPark Assessment of Cognition (BrainPAC) Project sought to develop and validate an engaging and user-friendly digital assessment tool purpose-built to comprehensively assess the main consensus-driven constructs underpinning addictive behaviors. OBJECTIVE The purpose of this study was to psychometrically validate a gamified battery of consensus-based neurocognitive tasks against standard laboratory paradigms, ascertain test-retest reliability, and determine their sensitivity to addictive behaviors (eg, alcohol use) and other risk factors (eg, trait impulsivity). METHODS Gold standard laboratory paradigms were selected to measure key neurocognitive constructs (Balloon Analogue Risk Task [BART], Stop Signal Task [SST], Delay Discounting Task [DDT], Value-Modulated Attentional Capture [VMAC] Task, and Sequential Decision-Making Task [SDT]), as endorsed by an international panel of addiction experts; namely, response selection and inhibition, reward valuation, action selection, reward learning, expectancy and reward prediction error, habit, and compulsivity. Working with game developers, BrainPAC tasks were developed and validated in 3 successive cohorts (total N=600) and a separate test-retest cohort (N=50) via Mechanical Turk using a cross-sectional design. RESULTS BrainPAC tasks were significantly correlated with the original laboratory paradigms on most metrics (r=0.18-0.63, P<.05). With the exception of the DDT k function and VMAC total points, all other task metrics across the 5 tasks did not differ between the gamified and nongamified versions (P>.05). Out of 5 tasks, 4 demonstrated adequate to excellent test-retest reliability (intraclass correlation coefficient 0.72-0.91, P<.001; except SDT). Gamified metrics were significantly associated with addictive behaviors on behavioral inventories, though largely independent of trait-based scales known to predict addiction risk. CONCLUSIONS A purpose-built battery of digitally gamified tasks is sufficiently valid for the scalable assessment of key neurocognitive processes underpinning addictive behaviors. This validation provides evidence that a novel approach, purported to enhance task engagement, in the assessment of addiction-related neurocognition is feasible and empirically defensible. These findings have significant implications for risk detection and the successful deployment of next-generation assessment tools for substance use or misuse and other mental disorders characterized by neurocognitive anomalies related to motivation and self-regulation. Future development and validation of the BrainPAC tool should consider further enhancing convergence with established measures as well as collecting population-representative data to use clinically as normative comparisons.
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Affiliation(s)
- Rico S. C. Lee
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia
| | - Lucy Albertella
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Erynn Christensen
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Chao Suo
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Rebecca A. Segrave
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Maja Brydevall
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Rebecca Kirkham
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Chang Liu
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Leonardo F. Fontenelle
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro (UFRJ)
- D’Or Institute for Research and Education, Rio de Janeiro, Brazil
| | - Samuel R. Chamberlain
- Department of Psychiatry, University of Southampton, Southampton, United Kingdom; and Southern Health NHS Foundation Trust, Southampton, UK
| | - Kristian Rotaru
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
- Monash Business School, Monash University, Melbourne, Australia
| | - Murat Yücel
- BrainPark, Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
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9
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Pedersen MK, Díaz CMC, Wang QJ, Alba-Marrugo MA, Amidi A, Basaiawmoit RV, Bergenholtz C, Christiansen MH, Gajdacz M, Hertwig R, Ishkhanyan B, Klyver K, Ladegaard N, Mathiasen K, Parsons C, Rafner J, Villadsen AR, Wallentin M, Zana B, Sherson JF. Measuring Cognitive Abilities in the Wild: Validating a Population-Scale Game-Based Cognitive Assessment. Cogn Sci 2023; 47:e13308. [PMID: 37354036 DOI: 10.1111/cogs.13308] [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: 03/21/2022] [Revised: 04/26/2023] [Accepted: 06/05/2023] [Indexed: 06/26/2023]
Abstract
Rapid individual cognitive phenotyping holds the potential to revolutionize domains as wide-ranging as personalized learning, employment practices, and precision psychiatry. Going beyond limitations imposed by traditional lab-based experiments, new efforts have been underway toward greater ecological validity and participant diversity to capture the full range of individual differences in cognitive abilities and behaviors across the general population. Building on this, we developed Skill Lab, a novel game-based tool that simultaneously assesses a broad suite of cognitive abilities while providing an engaging narrative. Skill Lab consists of six mini-games as well as 14 established cognitive ability tasks. Using a popular citizen science platform (N = 10,725), we conducted a comprehensive validation in the wild of a game-based cognitive assessment suite. Based on the game and validation task data, we constructed reliable models to simultaneously predict eight cognitive abilities based on the users' in-game behavior. Follow-up validation tests revealed that the models can discriminate nuances contained within each separate cognitive ability as well as capture a shared main factor of generalized cognitive ability. Our game-based measures are five times faster to complete than the equivalent task-based measures and replicate previous findings on the decline of certain cognitive abilities with age in our large cross-sectional population sample (N = 6369). Taken together, our results demonstrate the feasibility of rapid in-the-wild systematic assessment of cognitive abilities as a promising first step toward population-scale benchmarking and individualized mental health diagnostics.
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Affiliation(s)
- Mads Kock Pedersen
- Center for Hybrid Intelligence, Department of Management, Aarhus University
- Department of Business Development and Technology, Aarhus University
| | | | - Qian Janice Wang
- Center for Hybrid Intelligence, Department of Management, Aarhus University
- Department of Food Science, Aarhus University
| | | | - Ali Amidi
- Department of Psychology and Behavioural Sciences, Aarhus University
| | | | | | - Morten H Christiansen
- Department of Psychology, Cornell University
- School of Communication and Culture, Aarhus University
- Interacting Minds Centre, Aarhus University
| | - Miroslav Gajdacz
- Center for Hybrid Intelligence, Department of Management, Aarhus University
| | - Ralph Hertwig
- Center for Adaptive Rationality, Max Planck Institute for Human Development
| | | | - Kim Klyver
- Department of Entrepreneurship & Relationship Management, University of Southern Denmark
- Entrepreneurship, Commercialization and Innovation Centre (ECIC), University of Adelaide
| | - Nicolai Ladegaard
- Department of Clinical Medicine - Department of Affective Disorders, Aarhus University Hospital
| | - Kim Mathiasen
- Department of Clinical Medicine - Department of Affective Disorders, Aarhus University Hospital
| | | | - Janet Rafner
- Center for Hybrid Intelligence, Department of Management, Aarhus University
| | | | - Mikkel Wallentin
- School of Communication and Culture, Aarhus University
- Interacting Minds Centre, Aarhus University
| | - Blanka Zana
- Center for Hybrid Intelligence, Department of Management, Aarhus University
| | - Jacob F Sherson
- Center for Hybrid Intelligence, Department of Management, Aarhus University
- School of Communication and Culture, Aarhus University
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10
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Mirajkar S, Waring JD. Aging and task design shape the relationship between response time variability and emotional response inhibition. Cogn Emot 2023; 37:777-794. [PMID: 37165853 PMCID: PMC10330716 DOI: 10.1080/02699931.2023.2208860] [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: 12/12/2022] [Revised: 04/18/2023] [Accepted: 04/25/2023] [Indexed: 05/12/2023]
Abstract
Intra-individual variability (IIV) refers to within-person variability in behavioural task responses. Several factors can influence IIV, including aging and cognitive demands. The present study investigated effects of aging on IIV of response times during executive functioning tasks. Known age-related differences in cognitive control and emotion processing motivated evaluating how varying the design of emotional response inhibition tasks would influence IIV in older and younger adults. We also tested whether IIV predicted inhibitory control across task designs and age groups. Older and younger adults (N = 237) completed one of three versions of a stop-signal task, which all displayed happy, fearful, or neutral faces in Stop trials. An independent group of older and younger adults (N = 80) completed a go/no-go task also employing happy, fearful and neutral faces. Results showed older adults had more consistent responses (lower IIV) than younger adults in the stop-signal task, but not the go/no-go task. Lower IIV predicted more efficient emotional response inhibition for fear faces in the stop-signal task, but only when attention to emotion was task-relevant. Collectively, this study clarifies effects of aging and task design on IIV and illustrates how task design impacts the relationship between IIV and emotional response inhibition in younger and older adults.
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Affiliation(s)
| | - Jill D. Waring
- Department of Psychology, Saint Louis University, St Louis, MO, USA
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11
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Spiers HJ, Coutrot A, Hornberger M. Explaining World-Wide Variation in Navigation Ability from Millions of People: Citizen Science Project Sea Hero Quest. Top Cogn Sci 2023; 15:120-138. [PMID: 34878689 DOI: 10.1111/tops.12590] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 10/27/2021] [Accepted: 10/27/2021] [Indexed: 02/01/2023]
Abstract
Navigation ability varies widely across humans. Prior studies have reported that being younger and a male has an advantage for navigation ability. However, these studies have generally involved small numbers of participants from a handful of western countries. Here, we review findings from our project Sea Hero Quest, which used a video game for mobile and tablet devices to test 3.9 million people on their navigation ability, sampling across every nation-state and from 18 to 99 years of age. Results revealed that the task has good ecological validity and across all countries sufficiently sampled (N = 63), age is linked to a near-linear decline in navigation ability from the early 20s. All countries showed a male advantage, but this varied considerably and could be partly predicted by gender inequality. We found that those who reported growing up in a city were on average worse at navigating than those who grew up outside cities and that navigation performance helped identify those at greater genetic risk of Alzheimer's disease. We discuss the advantages and challenges of using a mobile app to study cognition and the future avenues for understanding individual differences in navigation ability arising from this research.
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Affiliation(s)
- Hugo J Spiers
- Department of Experimental Psychology, Division of Psychology and Language Sciences, Institute of Behavioural Neuroscience, University College London
| | - Antoine Coutrot
- Laboratoire des Sciences du Numérique de Nantes, CNRS.,Laboratoire d'InfoRmatique en Image et Systèmes d'information, CNRS
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12
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van den Wildenberg WPM, Ridderinkhof KR, Wylie SA. Towards Conceptual Clarification of Proactive Inhibitory Control: A Review. Brain Sci 2022; 12:brainsci12121638. [PMID: 36552098 PMCID: PMC9776056 DOI: 10.3390/brainsci12121638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 11/24/2022] [Accepted: 11/25/2022] [Indexed: 12/05/2022] Open
Abstract
The aim of this selective review paper is to clarify potential confusion when referring to the term proactive inhibitory control. Illustrated by a concise overview of the literature, we propose defining reactive inhibition as the mechanism underlying stopping an action. On a stop trial, the stop signal initiates the stopping process that races against the ongoing action-related process that is triggered by the go signal. Whichever processes finishes first determines the behavioral outcome of the race. That is, stopping is either successful or unsuccessful in that trial. Conversely, we propose using the term proactive inhibition to explicitly indicate preparatory processes engaged to bias the outcome of the race between stopping and going. More specifically, these proactive processes include either pre-amping the reactive inhibition system (biasing the efficiency of the stopping process) or presetting the action system (biasing the efficiency of the go process). We believe that this distinction helps meaningful comparisons between various outcome measures of proactive inhibitory control that are reported in the literature and extends to experimental research paradigms other than the stop task.
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Affiliation(s)
- Wery P. M. van den Wildenberg
- Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129 B, 1018 WS Amsterdam, The Netherlands
- Amsterdam Brain and Cognition (ABC), University of Amsterdam, Nieuwe Achtergracht 129 B, P.O. Box 15900, 1001 NK Amsterdam, The Netherlands
- Correspondence: ; Tel.: +31-20-5256686
| | - K. Richard Ridderinkhof
- Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129 B, 1018 WS Amsterdam, The Netherlands
- Amsterdam Brain and Cognition (ABC), University of Amsterdam, Nieuwe Achtergracht 129 B, P.O. Box 15900, 1001 NK Amsterdam, The Netherlands
| | - Scott A. Wylie
- Department of Neurosurgery, University of Louisville, Louisville, KY 40202, USA
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13
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Kang W, Hernández SP, Rahman MS, Voigt K, Malvaso A. Inhibitory Control Development: A Network Neuroscience Perspective. Front Psychol 2022; 13:651547. [PMID: 36300046 PMCID: PMC9588931 DOI: 10.3389/fpsyg.2022.651547] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Accepted: 02/25/2022] [Indexed: 07/30/2023] Open
Abstract
As one of the core executive functions, inhibition plays an important role in human life through development. Inhibitory control is defined as the ability to suppress actions when they are unlikely to accomplish valuable results. Contemporary neuroscience has investigated the underlying neural mechanisms of inhibitory control. The controversy started to arise, which resulted in two schools of thought: a modulatory and a network account of inhibitory control. In this systematic review, we survey developmental mechanisms in inhibitory control as well as neurodevelopmental diseases related to inhibitory dysfunctions. This evidence stands against the modulatory perspective of inhibitory control: the development of inhibitory control does not depend on a dedicated region such as the right inferior frontal gyrus (rIFG) but relies on a more broadly distributed network.
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Affiliation(s)
- Weixi Kang
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | | | | | - Katharina Voigt
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, VIC, Australia
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia
| | - Antonio Malvaso
- School of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy
- Neuroimaging Research Unit, Division of Neuroscience, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, Scientific Institute for Research, Hospitalization and Healthcare (IRCCS) San Raffaele Scientific Institute, Milan, Italy
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14
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McKay E, Kirk H, Coxon J, Courtney D, Bellgrove M, Arnatkeviciute A, Cornish K. Training inhibitory control in adolescents with elevated attention deficit hyperactivity disorder traits: a randomised controlled trial of the Alfi Virtual Reality programme. BMJ Open 2022; 12:e061626. [PMID: 36127121 PMCID: PMC9490587 DOI: 10.1136/bmjopen-2022-061626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Attention deficit hyperactivity disorder (ADHD) is characterised by significant deficits in attention and inhibition. These deficits are associated with negative sequelae that emerge in childhood and often continue throughout adolescence. Despite these difficulties adolescents with ADHD often demonstrate poor treatment compliance with traditional interventions (eg, psychostimulant medication). Virtual reality (VR) presents an innovative means of delivering engaging cognitive interventions for adolescents with ADHD and offers the potential to improve compliance with such interventions. The current parallel, randomised controlled trial aims to evaluate the effects of a VR intervention (Alfi) designed to improve inhibition in adolescents with ADHD. METHODS AND ANALYSIS A sample of 100 adolescents (aged 13-17) with elevated ADHD symptoms will be recruited from secondary schools and ADHD organisations located in the state of Victoria, Australia. Participants will be randomly assigned to either an 8-week VR intervention or a usual care control. The VR intervention involves the completion of 14 sessions, each 20 min in duration. Participants will complete computerised assessments of inhibition and risk-taking preintervention and immediately postintervention. Parents/guardians will complete online questionnaires about their child's ADHD symptoms and social functioning at each of these timepoints. The primary outcome is change in inhibition performance in adolescents who received the intervention from preintervention to postintervention compared with adolescents in the control condition. Secondary outcomes include change in risk-taking, ADHD symptoms and social functioning in adolescents who received the intervention from preintervention to postintervention compared with adolescents in the control condition. If the intervention is shown to be effective, it may offer a supplementary approach to traditional interventions for adolescents with ADHD experiencing inhibitory control difficulties. ETHICS AND DISSEMINATION This trial has ethics approval from the Monash University Human Research Ethics Committee (HREC) (21530) and the Victorian Department of Education and Training HREC (2020_004271). Results will be disseminated through peer-reviewed journals, conference proceedings and community activities. Individual summaries of the results will be provided to participants on request. TRIAL REGISTRATION NUMBER ACTRN12620000647932.
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Affiliation(s)
- Erin McKay
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Hannah Kirk
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - James Coxon
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Danielle Courtney
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Mark Bellgrove
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Aurina Arnatkeviciute
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Kim Cornish
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
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15
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Wu J, Xiao W, Yip J, Peng L, Zheng K, Takyi Bentil O, Ren Z. Effects of Exercise on Neural Changes in Inhibitory Control: An ALE Meta-Analysis of fMRI Studies. Front Hum Neurosci 2022; 16:891095. [PMID: 35814955 PMCID: PMC9265250 DOI: 10.3389/fnhum.2022.891095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022] Open
Abstract
It is widely known that exercise improves inhibitory control; however, the mechanisms behind the cognitive improvement remain unclear. This study analyzes the extant literature on the neuronal effects of exercise on inhibitory control functions. We searched four online databases (Pubmed, Scopus, PsycINFO, and Web of Science) for relevant peer-reviewed studies to identify eligible studies published before September 1, 2021. Among the 4,090 candidate studies identified, 14 meet the inclusion criteria, and the results of 397 participants in these 14 studies are subsequently analyzed. We quantify the neural effects on the entire brain by using GingerALE software and identify 10 clusters of exercise-induced neuronal with either increases/decreases in the superior temporal gyrus (BA 22), precuneus (BA 7), superior frontal gyrus (BA 10), cuneus (BA 19), precuneus (BA 19), caudate, posterior cingulate (BA 19), middle temporal gyrus (B 37), parahippocampal gyrus (BA 30), precentral gyrus (BA 6). Meta-analytic coactivation map (MACM) showed that multiple functional networks overlap with brain regions with activation likelihood estimation (ALE) results. We propose the effect of exercise on neural activity is related to inhibitory control in the extended frontoparietal, default mode network (DMN), visual network, and other pathways. These results provide preliminary evidence of the neural effects of exercise on inhibitory control.
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Affiliation(s)
- Jinlong Wu
- School of Physical Education, Shenzhen University, Shenzhen, China
- Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Wen Xiao
- School of Physical Education, Shenzhen University, Shenzhen, China
| | - Joanne Yip
- Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Li Peng
- College of Physical Education, Southwest University, Chongqing, China
| | - Kangyong Zheng
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, China
| | - Obed Takyi Bentil
- Civil and Environmental Engineering Department, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Zhanbing Ren
- School of Physical Education, Shenzhen University, Shenzhen, China
- *Correspondence: Zhanbing Ren
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16
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Axelsen JL, Meline JSJ, Staiano W, Kirk U. Mindfulness and music interventions in the workplace: assessment of sustained attention and working memory using a crowdsourcing approach. BMC Psychol 2022; 10:108. [PMID: 35478086 PMCID: PMC9044827 DOI: 10.1186/s40359-022-00810-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 04/08/2022] [Indexed: 11/29/2022] Open
Abstract
Background Occupational stress has huge financial as well as human costs. Application of crowdsourcing might be a way to strengthen the investigation of occupational mental health. Therefore, the aim of the study was to assess Danish employees’ stress and cognition by relying on a crowdsourcing approach, as well as investigating the effect of a 30-day mindfulness and music intervention. Methods We translated well-validated neuropsychological laboratory- and task-based paradigms into an app-based platform using cognitive games measuring sustained attention and working memory and measuring stress via. Cohen’s Perceived Stress Scale. A total of 623 healthy volunteers from Danish companies participated in the study and were randomized into three groups, which consisted of a 30-day intervention of either mindfulness or music, or a non-intervention control group. Results Participants in the mindfulness group showed a significant improvement in the coefficient of sustained attention, working memory capacity and perceived stress (p < .001). The music group showed a 38% decrease of self-perceived stress. The control group showed no difference from pre to post in the survey or cognitive outcome measures. Furthermore, there was a significant correlation between usage of the mindfulness and music app and elevated score on both the cognitive games and the perceived stress scale. Conclusion The study supports the nascent field of crowdsourcing by being able to replicate data collected in previous well-controlled laboratory studies from a range of experimental cognitive tasks, making it an effective alternative. It also supports mindfulness as an effective intervention in improving mental health in the workplace.
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Affiliation(s)
| | | | - Walter Staiano
- Department of Physical Education and Sport, University of Valencia, 46010, Valencia, Spain
| | - Ulrich Kirk
- Department of Psychology, University of Southern Denmark, 5230, Odense, Denmark.
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17
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Yu Q, Huang X, Zhang B, Li Z, Zhang T, Hu Z, Ding M, Liang Z, Lo WLA. A Novel Perspective on the Proactive and Reactive Controls of Executive Function in Chronic Stroke Patients. Front Neurol 2022; 13:766622. [PMID: 35295836 PMCID: PMC8918511 DOI: 10.3389/fneur.2022.766622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 01/06/2022] [Indexed: 11/20/2022] Open
Abstract
Objectives To investigate the proactive and reactive control process when executing a complex task in patients with stroke. Proactive control is the preparatory process before the target stimulus, whereas reactive control is an imperative resolution of interference after the target stimulus. Methods In total, 17 patients with chronic stroke and 17 healthy individuals were recruited. The proactive and reactive control of executive function was assessed by the task-switching paradigm and the AX version of the Continuous Performance Task (AX-CPT). The general executive function was assessed by Color Trial Test (CTT) and Stroop Test. The behavioral data of the task-switching paradigm were analyzed by a three-way repeated-measures ANOVA, and the AX-CPT data were analyzed by two-way repeated-measures ANOVA. Results For efficiency scores in the task-switching paradigm, trial (repeat vs. switch) × group (stroke or control group) interaction effect was significant. Post-hoc analysis on trial × group effect showed a significant between-trial difference in accuracy rates in the repeat trial in the control group regardless of 100 or 50% validity. For the AX-CPT, the main effects of condition and group on response time were statistically significant. The interaction effect of condition (AY or BX) × group (stroke or control group) was also significant. Post-hoc analysis for condition × group indicated that the stroke group had a significantly longer response time in the BX condition than the control group and longer completion time in CTT2 and larger word interference for completion time in the Stroop test than the control cohort. Conclusions Post-stroke survivors showed deficits in the performance of proactive control but not in the performance of reactive control. Deficits in proactive control may be related to the impairment of working memory. Interventions that focus on proactive control may result in improved clinical outcomes.
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Affiliation(s)
- Qiuhua Yu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaomin Huang
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Baofeng Zhang
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhicheng Li
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Zhang
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ziwei Hu
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- School of Rehabilitation Medicine, Gannan Medical University, Ganzhou, China
| | - Minghui Ding
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhenwen Liang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Jinan University, Guangzhou, China
- *Correspondence: Zhenwen Liang
| | - Wai Leung Ambrose Lo
- Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Engineering and Technology Research Centre for Rehabilitation Medicine and Translation, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Wai Leung Ambrose Lo
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18
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Fujiyama H, Tan J, Puri R, Hinder MR. Influence of tDCS over right inferior frontal gyrus and pre-supplementary motor area on perceptual decision-making and response inhibition: A healthy ageing perspective. Neurobiol Aging 2021; 109:11-21. [PMID: 34634749 DOI: 10.1016/j.neurobiolaging.2021.09.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/21/2021] [Accepted: 09/09/2021] [Indexed: 12/12/2022]
Abstract
A wide body of literature suggests that transcranial direct current stimulation (tDCS) administered over the prefrontal cortex can improve executive function - including decision-making and inhibitory control - in healthy young adults. However, the effects of tDCS in older adults are largely unknown. Here, using a double-blind, sham-controlled approach, changes in a combined perceptual decision-making and inhibitory control task were assessed before and after the application of tDCS (1 mA, 20 minute) targeting the right inferior frontal gyrus (rIFG) or pre-supplementary motor area (preSMA) in 42 young (18-34 years) and 41 older (60-80 years) healthy adults. Compared to sham stimulation, anodal tDCS over the preSMA improved decision-making speed for both age groups. Furthermore, the inhibitory control performance of older and younger adults was improved by preSMA and rIFG stimulation, respectively. This study provides evidence that tDCS can improve both perceptual decision-making and inhibitory control in healthy older adults, with the causal role of the preSMA and rIFG regions in cognitive control appearing to vary as a function of healthy ageing.
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Affiliation(s)
- Hakuei Fujiyama
- Psychology, Murdoch University, Western Australia, Australia; Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Western Australia, Australia; Centre for Molecular Medicine and Innovative Therapeutics, Murdoch University, Western Australia, Australia.
| | - Jane Tan
- Action and Cognition Laboratory, Discipline of Psychology, Murdoch University, Perth, Australia
| | - Rohan Puri
- Sensorimotor Neuroscience and Ageing Research Group, School of Psychological Sciences, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Mark R Hinder
- Sensorimotor Neuroscience and Ageing Research Group, School of Psychological Sciences, College of Health and Medicine, University of Tasmania, Hobart, Australia
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Indrajeet I, Ray S. Efficacy of inhibitory control depends on procrastination and deceleration in saccade planning. Exp Brain Res 2020; 238:2417-2432. [PMID: 32776172 DOI: 10.1007/s00221-020-05901-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 08/03/2020] [Indexed: 01/23/2023]
Abstract
A goal-directed flexible behavior warrants our ability to timely inhibit impending movements deemed inappropriate due to an abrupt change in the context. Race model of countermanding rapid saccadic eye movement posits a competition between a preparatory GO process and an inhibitory STOP process rising to reach a fixed threshold. Stop-signal response time (SSRT), which is the average time STOP takes to rise to the threshold, is widely used as a metric to assess the ability to revoke a movement. A reliable estimation of SSRT critically depends on the assumption of independence between GO and STOP process, which has been violated in many studies. In addition, the physiological correlate of stochastic rise of STOP process to a threshold remains unsubstantiated thus far. Here, we introduce a method to estimate the efficacy of inhibitory control on the premise of an alternative model that assumes deceleration of GO process following the stop-signal onset. The average reaction time increased exponentially with the increase in the maximum duration available to attenuate GO process by the stop-signal. Our method estimates saccade procrastination in anticipation of the stop-signal, and the rate of increase in attenuation on GO process. Unlike SSRT, these new metrics are independent of how the stopping performance varies with the delay between go- and stop-signal onsets. We reckon that these metrics together qualify to be considered as an efficient alternative to SSRT for the estimation of individuals' ability to countermand saccades, especially in cases when the assumptions of race model are no longer valid.
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Affiliation(s)
- Indrajeet Indrajeet
- Centre of Behavioural and Cognitive Sciences, University of Allahabad (Senate Hall Campus), Prayagraj, Uttar Pradesh, 211002, India.
| | - Supriya Ray
- Centre of Behavioural and Cognitive Sciences, University of Allahabad (Senate Hall Campus), Prayagraj, Uttar Pradesh, 211002, India.
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20
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A Single Mechanism for Global and Selective Response Inhibition under the Influence of Motor Preparation. J Neurosci 2020; 40:7921-7935. [PMID: 32928884 DOI: 10.1523/jneurosci.0607-20.2020] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 07/09/2020] [Accepted: 07/30/2020] [Indexed: 01/20/2023] Open
Abstract
In our everyday behavior, we frequently cancel one movement while continuing others. Two competing models have been suggested for the cancellation of such specific actions: (1) the abrupt engagement of a unitary global inhibitory mechanism followed by reinitiation of the continuing actions; or (2) a balance between distinct global and selective inhibitory mechanisms. To evaluate these models, we examined behavioral and physiological markers of proactive control, motor preparation, and response inhibition using a combination of behavioral task performance measures, electromyography, electroencephalography, and motor evoked potentials elicited with transcranial magnetic stimulation. Healthy human participants of either sex performed two versions of a stop signal task with cues incorporating proactive control: a unimanual task involving the initiation and inhibition of a single response, and a bimanual task involving the selective stopping of one of two prepared responses. Stopping latencies, motor evoked potentials, and frontal β power (13-20 Hz) did not differ between the unimanual and bimanual tasks. However, evidence for selective proactive control before stopping was manifest in the bimanual condition as changes in corticomotor excitability, μ (9-14 Hz), and β (15-25 Hz) oscillations over sensorimotor cortex. Together, our results favor the recruitment of a single inhibitory stopping mechanism with the net behavioral output depending on the levels of action-specific motor preparation.SIGNIFICANCE STATEMENT Response inhibition is a core function of cognitive flexibility and movement control. Previous research has suggested separate mechanisms for selective and global inhibition, yet the evidence is inconclusive. Another line of research has examined the influence of preparation for action stopping, or what is called proactive control, on stopping performance, yet the neural mechanisms underlying this interaction are unknown. We combined transcranial magnetic stimulation, electroencephalography, electromyography, and behavioral measures to compare selective and global inhibition models and to investigate markers of proactive control. The results favor a single inhibitory mechanism over separate selective and global mechanisms but indicate a vital role for preceding motor activity in determining whether and which actions will be stopped.
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21
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Williams SE, Lenze EJ, Waring JD. Positive information facilitates response inhibition in older adults only when emotion is task-relevant. Cogn Emot 2020; 34:1632-1645. [PMID: 32677540 DOI: 10.1080/02699931.2020.1793303] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Emotional information is integral to everyday life and impacts a variety of cognitive abilities including response inhibition, a critical skill for maintaining appropriate and flexible behaviour. However, reported effects of emotion on response inhibition are inconsistent in younger adults, and very limited in older adults. Effects of aging are especially relevant because emotion regulation improves with aging despite declining inhibitory control over neutral information. Across three studies, we assessed the impact of emotional facial expressions on response inhibition in younger and older adults while manipulating attention to task stimuli. Emotional faces (versus neutral faces) altered response inhibition only when task instructions required explicit attention to emotional attributes of the faces. When directly comparing fear faces to happy faces, both age groups had better response inhibition to happy faces. Age further influenced differences across conditions, in that happy faces enhanced response inhibition relative to neutral faces in older adults but not younger adults. Thus, emotional response inhibition for task-relevant (but not task-irrelevant) positive information is enhanced in late life compared to early adulthood. The present work extends the nascent literature on emotional response inhibition in aging, and proffers a framework to reconcile the mixed literature on this topic in younger adults.
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Affiliation(s)
| | - Eric J Lenze
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Jill D Waring
- Department of Psychology, Saint Louis University, St. Louis, MO, USA
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22
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Silveira VP, Frydman I, Fontenelle LF, Mattos P, de Oliveira-Souza R, Moll J, Hoexter MQ, Miguel EC, McLaughlin NC, Shephard E, Batistuzzo MC. Exploring response inhibition and error monitoring in obsessive-compulsive disorder. J Psychiatr Res 2020; 126:26-33. [PMID: 32413597 PMCID: PMC7313630 DOI: 10.1016/j.jpsychires.2020.04.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 10/24/2022]
Abstract
Behavioral evidence of impaired response inhibition (RI) and hyperactive error monitoring (EM) in obsessive-compulsive disorder (OCD) is inconsistent. Recent neuroimaging work suggests that EM plays a role in RI impairments in OCD, but this has rarely been investigated using behavioral measures. The aims of this study were to (1) compare RI and EM performance between adults with OCD and non-psychiatric controls (NPC) while investigating possible moderators, and (2) assess whether excessive EM influences RI in OCD. We compared RI and EM performance on the Stop-Signal Task (SST) between 92 adults with OCD and 65 NPC from two Brazilian sites. We used linear regression to investigate which variables (group, age, medication use, clinical symptomatology) influenced performance, as well as to examine possible associations between RI and EM. OCD and NPC did not differ in RI and EM. However, age moderated RI performance in OCD with a medium effect size, reflecting differential effects of age on RI between groups: age was positively associated with RI in OCD but not NPC. Further, OCD severity predicted EM with a medium to large effect size, suggesting that more symptomatic patients showed greater monitoring of their mistakes. Finally, group moderated the relationship between RI and EM with a small effect size. Our findings suggest that demographic factors may influence RI, whereas clinical factors may influence EM. Further, we found preliminary behavioral evidence to indicate that impaired RI and excessive EM are related in OCD.
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Affiliation(s)
- Vitor Portella Silveira
- Departmento de Psiquiatria, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, SP, BR. R. Dr. Ovídio Pires de Campos, 785 - Cerqueira César, São Paulo, SP, 05403-903, Brazil.
| | - Ilana Frydman
- Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil. Av. Venceslau Brás, 71 - Botafogo, Rio de Janeiro - RJ, 22290-140, Brazil
| | - Leonardo F. Fontenelle
- Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil. Av. Venceslau Brás, 71 - Botafogo, Rio de Janeiro - RJ, 22290-140, Brazil,Turner Institute for Brain and Mental Health, Monash University, Wellington Rd, Clayton VIC 3800, Australia,D’Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil. Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro - RJ, 22281-100, Brazil
| | - Paulo Mattos
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil. Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro - RJ, 22281-100, Brazil
| | - Ricardo de Oliveira-Souza
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil. Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro - RJ, 22281-100, Brazil
| | - Jorge Moll
- D’Or Institute for Research and Education (IDOR), Rio de Janeiro, RJ, Brazil. Rua Diniz Cordeiro, 30 - Botafogo, Rio de Janeiro - RJ, 22281-100, Brazil
| | - Marcelo Queiroz Hoexter
- Department of Psychiatry, Medical School, University of São Paulo, São Paulo, SP, Brazil. R. Dr. Ovídio Pires de Campos, 785 - Cerqueira César, São Paulo - SP, 05403-903, Brazil
| | - Eurípedes Constantino Miguel
- Department of Psychiatry, Medical School, University of São Paulo, São Paulo, SP, Brazil. R. Dr. Ovídio Pires de Campos, 785 - Cerqueira César, São Paulo - SP, 05403-903, Brazil
| | - Nicole C.R. McLaughlin
- Butler Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA. 345 Blackstone Blvd, Providence, RI 02906, USA
| | - Elizabeth Shephard
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK. 16 De Crespigny Park, Camberwell, London SE5 8AF, UK
| | - Marcelo Camargo Batistuzzo
- Psychology Department, Health Sciences School, Pontifical Catholic University of São Paulo, São Paulo, SP, Brazil. Rua Monte Alegre 984 - Perdizes, São Paulo - SP, 05014-001, Brazil
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23
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Electrophysiological investigation of the effects of Tai Chi on inhibitory control in older individuals. PROGRESS IN BRAIN RESEARCH 2020. [PMID: 32771125 DOI: 10.1016/bs.pbr.2020.05.031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register]
Abstract
The possibility that improved inhibitory control in older adults is associated with engagement in non-contact sporting activity, Tai Chi, was investigated. Three groups of participants were compared; a group who regularly took part in Tai Chi (TC), a regularly exercising (RE) group, and a sedentary group (SG). Concurrent electroencephalographic recordings were obtained while a stop-signal inhibitory control task, where speeded responses are needed for most trials, but these must occasionally be withheld when a 'stop signal' is displayed, was performed. The electrophysiological components P3, broadly related to decision making, and Pe, related to error monitoring, were analyzed. Both exercise groups performed better on the stop-signal task for the measure indicative of inhibitory control, as well as being generally better for other indices of performance. No significant effects were seen for post-error slowing. Electrophysiological differences were seen for the TC group, with a significantly larger P3 component related to the stop-signal and a larger Pe component when errors were made. This indicated that the TC group seemed to show better decision making and have better awareness of errors. Future work should investigate whether such effects are seen when this type of exercise is applied as an 'intervention' in non-exercising individuals.
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24
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Weerasekera A, Levin O, Clauwaert A, Heise KF, Hermans L, Peeters R, Mantini D, Cuypers K, Leunissen I, Himmelreich U, Swinnen SP. Neurometabolic Correlates of Reactive and Proactive Motor Inhibition in Young and Older Adults: Evidence from Multiple Regional 1H-MR Spectroscopy. Cereb Cortex Commun 2020; 1:tgaa028. [PMID: 34296102 PMCID: PMC8152832 DOI: 10.1093/texcom/tgaa028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 06/19/2020] [Accepted: 06/20/2020] [Indexed: 11/13/2022] Open
Abstract
Suboptimal inhibitory control is a major factor contributing to motor/cognitive deficits in older age and pathology. Here, we provide novel insights into the neurochemical biomarkers of inhibitory control in healthy young and older adults and highlight putative neurometabolic correlates of deficient inhibitory functions in normal aging. Age-related alterations in levels of glutamate–glutamine complex (Glx), N-acetylaspartate (NAA), choline (Cho), and myo-inositol (mIns) were assessed in the right inferior frontal gyrus (RIFG), pre-supplementary motor area (preSMA), bilateral sensorimotor cortex (SM1), bilateral striatum (STR), and occipital cortex (OCC) with proton magnetic resonance spectroscopy (1H-MRS). Data were collected from 30 young (age range 18–34 years) and 29 older (age range 60–74 years) adults. Associations between age-related changes in the levels of these metabolites and performance measures or reactive/proactive inhibition were examined for each age group. Glx levels in the right striatum and preSMA were associated with more efficient proactive inhibition in young adults but were not predictive for reactive inhibition performance. Higher NAA/mIns ratios in the preSMA and RIFG and lower mIns levels in the OCC were associated with better deployment of proactive and reactive inhibition in older adults. Overall, these findings suggest that altered regional concentrations of NAA and mIns constitute potential biomarkers of suboptimal inhibitory control in aging.
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Affiliation(s)
- Akila Weerasekera
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Oron Levin
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Amanda Clauwaert
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Kirstin-Friederike Heise
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Lize Hermans
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Ronald Peeters
- Department of Radiology, University Hospitals KU Leuven, 3000, Leuven, Belgium
| | - Dante Mantini
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Koen Cuypers
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Inge Leunissen
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Uwe Himmelreich
- Biomedical MRI Unit, Department of Imaging and Pathology, Group Biomedical Sciences, KU Leuven, 3000, Leuven, Belgium
| | - Stephan P Swinnen
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
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25
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Abstract
Previous research has reported reduced efficiency in reactive inhibition, along with reduced brain activations, in older adults. The current study investigated age-related behavioral and neural changes in proactive inhibition, and whether age may influence the relationship between proactive and reactive inhibition. One-hundred-and-forty-nine adults (18 to 72 years) underwent fMRI while performing a stop signal task (SST). Proactive inhibition was defined by the sequential effect, the correlation between the estimated probability of stop signal - p(Stop) - and go trial reaction time (goRT). P(Stop) was estimated trial by trial with a Bayesian belief model; reactive inhibition was defined by the stop signal reaction time (SSRT). Behaviorally the magnitude of sequential effect was not correlated with age, replicating earlier reports of spared proactive control in older adults. Age was associated with greater activations to p(Stop) in the lateral prefrontal cortex (PFC), paracentral lobule, superior parietal lobule, and cerebellum, and activations to goRT in the inferior occipital gyrus (IOG). Granger Causality analysis demonstrated that the PFC Granger caused IOG, with the PFC-IOG connectivity significantly correlated with p(Stop) in older but not younger adults. These findings suggest that the PFC and IOG activations and PFC-IOG connectivity may compensate for proactive control during aging. In contrast, while the activations of the ventromedial prefrontal cortex and caudate head to p(Stop) were negatively correlated with SSRT, relating proactive to reactive control, these activities did not vary with age. These findings highlighted distinct neural processes underlying proactive inhibition and limited neural plasticity to support cognitive control in the aging brain.
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26
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Age-related alterations in the modulation of intracortical inhibition during stopping of actions. Aging (Albany NY) 2020; 11:371-385. [PMID: 30670675 PMCID: PMC6366958 DOI: 10.18632/aging.101741] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Accepted: 12/19/2018] [Indexed: 01/19/2023]
Abstract
We investigated the effect of age on the ability to modulate GABAA-ergic and GABAB-ergic inhibitory activity during stopping of action (reactive inhibition) and preparation to stop (proactive inhibition). Twenty-five young and twenty-nine older adults performed an anticipated response version of the stop-signal task with varying levels of stop-signal probability. Paired-pulse transcranial magnetic stimulation was applied to left primary motor cortex to assess the modulation of GABAA-mediated short-interval intracortical inhibition (SICI) during stopping and GABAB-mediated long-interval intracortical inhibition (LICI) during the anticipation of a stop-signal. At the behavioral level, reactive inhibition was affected by aging as indicated by longer stop-signal reaction times in older compared to young adults. In contrast, proactive inhibition was preserved at older age as both groups slowed down their go response to a similar degree with increasing stop-signal probability. At the neural level, the amount of SICI was higher in successful stop relative to go trials in young but not in older adults. LICI at the start of the trial was modulated as a function of stop-signal probability in both young and older adults. Our results suggest that specifically the recruitment of GABAA-mediated intracortical inhibition during stopping of action is affected by aging.
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27
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Cuypers K, Verstraelen S, Maes C, Hermans L, Hehl M, Heise KF, Chalavi S, Mikkelsen M, Edden R, Levin O, Sunaert S, Meesen R, Mantini D, Swinnen SP. Task-related measures of short-interval intracortical inhibition and GABA levels in healthy young and older adults: A multimodal TMS-MRS study. Neuroimage 2019; 208:116470. [PMID: 31863914 PMCID: PMC9652063 DOI: 10.1016/j.neuroimage.2019.116470] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 12/05/2019] [Accepted: 12/15/2019] [Indexed: 01/15/2023] Open
Abstract
Establishing the associations between magnetic resonance spectroscopy (MRS)-assessed gamma-aminobutyric acid (GABA) levels and transcranial magnetic stimulation (TMS)-derived ‘task-related’ modulations in GABAA receptor-mediated inhibition and how these associations change with advancing age is a topic of interest in the field of human neuroscience. In this study, we identified the relationship between GABA levels and task-related modulations in GABAA receptor-mediated inhibition in the dominant (left) and non-dominant (right) sensorimotor (SM) cortices. GABA levels were measured using edited MRS and task-related GABAA receptor-mediated inhibition was measured using a short-interval intracortical inhibition (SICI) TMS protocol during the preparation and premotor period of a choice reaction time (CRT) task in 25 young (aged 18–33 years) and 25 older (aged 60–74 years) adults. Our results demonstrated that GABA levels in both SM voxels were lower in older adults as compared to younger adults; and higher SM GABA levels in the dominant as compared to the non-dominant SM voxel pointed to a lateralization effect, irrespective of age group. Furthermore, older adults showed decreased GABAA receptor-mediated inhibition in the preparation phase of the CRT task within the dominant primary motor cortex (M1), as compared to young adults. Finally, results from an exploratory correlation analysis pointed towards positive relationships between MRS-assessed GABA levels and TMS-derived task-related SICI measures. However, after correction for multiple comparisons none of the correlations remained significant.
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Affiliation(s)
- K Cuypers
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium; REVAL Research Institute, Hasselt University, Agoralaan, Building A, 3590, Diepenbeek, Belgium.
| | - S Verstraelen
- REVAL Research Institute, Hasselt University, Agoralaan, Building A, 3590, Diepenbeek, Belgium
| | - C Maes
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - L Hermans
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - M Hehl
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - K-F Heise
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - S Chalavi
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - M Mikkelsen
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - R Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - O Levin
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - S Sunaert
- Department of Imaging and Pathology, University Hospitals Leuven, Leuven, Belgium; Department of Radiology, University Hospitals Leuven, Gasthuisberg, UZ, Leuven, Belgium
| | - R Meesen
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium; REVAL Research Institute, Hasselt University, Agoralaan, Building A, 3590, Diepenbeek, Belgium
| | - D Mantini
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium; Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - S P Swinnen
- Movement Control & Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium; KU Leuven, Leuven Brain Institute (LBI), Leuven, Belgium
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28
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Waring JD, Greif TR, Lenze EJ. Emotional Response Inhibition Is Greater in Older Than Younger Adults. Front Psychol 2019; 10:961. [PMID: 31118913 PMCID: PMC6504835 DOI: 10.3389/fpsyg.2019.00961] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2018] [Accepted: 04/11/2019] [Indexed: 11/29/2022] Open
Abstract
Emotional information rapidly captures our attention and also often invokes automatic response tendencies, whereby positive information motivates approach, while negative information encourages avoidance. However, many circumstances require the need to override or inhibit these automatic responses. Control over responses to emotional information remains largely intact in late life, in spite of age-related declines in cognitive control and inhibition of responses to non-emotional information. The goal of this behavioral study was to understand how the aging process influences emotional response inhibition for positive and negative information in older adults. We examined emotional response inhibition in 36 healthy older adults (ages 60–89) and 44 younger adults (ages 18–22) using an emotional Go/No-Go task presenting happy (positive), fearful (negative), and neutral faces. In both younger and older adults, happy faces produced more approach-related behavior (i.e., fewer misses), while fearful faces produced more avoidance-related behavior, in keeping with theories of approach/avoidance-motivated responses. Calculation of speed/accuracy trade-offs between response times and false alarm rates revealed that younger and older adults both favored speed at the expense of accuracy, most robustly within blocks with fearful faces. However, there was no indication that the strength of the speed/accuracy trade-off differed between younger and older adults. The key finding was that although younger adults were faster to respond to all types of faces, older adults had greater emotional response inhibition (i.e., fewer false alarms). Moreover, younger adults were particularly prone to false alarms for happy faces. This is the first study to directly test effects of aging on emotional response inhibition. Complementing previous literature in the domains of attention and memory, these results provide new evidence that in the domain of response inhibition older adults may more effectively employ emotion regulatory ability, albeit on a slower time course, compared to younger adults. Older adults’ enhanced adaptive emotion regulation strategies may facilitate resistance to emotional distraction. The present study extends the literature of emotional response inhibition in younger adulthood into late life, and in doing so further elucidates how cognitive aging interacts with affective control processes.
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Affiliation(s)
- Jill D Waring
- Department of Psychology, Saint Louis University, St. Louis, MO, United States
| | - Taylor R Greif
- Department of Psychology, Saint Louis University, St. Louis, MO, United States
| | - Eric J Lenze
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
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29
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Gordi VM, Drueke B, Gauggel S, Antons S, Loevenich R, Mols P, Boecker M. Stopping Speed in the Stop-Change Task: Experimental Design Matters! Front Psychol 2019; 10:279. [PMID: 30873063 PMCID: PMC6404636 DOI: 10.3389/fpsyg.2019.00279] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 01/28/2019] [Indexed: 11/13/2022] Open
Abstract
Previous research comparing the speed of inhibiting a motor response in no-foreknowledge vs. foreknowledge conditions revealed inconsistent findings. While some studies found stopping to be faster in the no-foreknowledge condition, others reported that it was faster in the foreknowledge condition. One possible explanation for the heterogeneous results might be differences in experimental design between those studies. Given this, we wanted to scrutinize whether it makes any difference if foreknowledge and no-foreknowledge are investigated in a context in which both conditions are presented separated from each other (block design) vs. in a context in which both conditions occur intermingled (event-related design). To address this question a modified stop-change task was used. In Experiment 1 no-foreknowledge and foreknowledge trials were imbedded in a block design, while Experiment 2 made use of an event-related design. We found that inhibition speed as measured with the stop signal reaction time (SSRT) was faster in the foreknowledge as compared to the no-foreknowledge condition of the event-related study, whereas no differences in SSRT between both conditions were revealed in the block design study. Analyses of reaction times to the go stimulus reflect that participants tended to slow down their go responses in both experimental contexts. However, in the foreknowledge condition of the event-related study, this strategic slowing was especially pronounced, a finding we refer to as strategic delay effect (SDE), and significantly correlated with SSRT. In sum our results suggest that inhibition speed is susceptible to strategic bias resulting from differences in experimental setup.
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Affiliation(s)
- Vera Michaela Gordi
- Institute of Medical Psychology and Medical Sociology, University Hospital of RWTH Aachen University, Aachen, Germany
| | - Barbara Drueke
- Institute of Medical Psychology and Medical Sociology, University Hospital of RWTH Aachen University, Aachen, Germany
| | - Siegfried Gauggel
- Institute of Medical Psychology and Medical Sociology, University Hospital of RWTH Aachen University, Aachen, Germany
| | - Stephanie Antons
- Institute of Medical Psychology and Medical Sociology, University Hospital of RWTH Aachen University, Aachen, Germany.,Department of General Psychology: Cognition and Center for Behavioral Addiction Research, University of Duisburg-Essen, Duisburg, Germany
| | - Rebecca Loevenich
- Institute of Medical Psychology and Medical Sociology, University Hospital of RWTH Aachen University, Aachen, Germany
| | - Paul Mols
- Brain Imaging Facility of IZKF Aachen, University Hospital of RWTH Aachen University, Aachen, Germany
| | - Maren Boecker
- Institute of Medical Psychology and Medical Sociology, University Hospital of RWTH Aachen University, Aachen, Germany
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Kohl S, Hannah R, Rocchi L, Nord CL, Rothwell J, Voon V. Cortical Paired Associative Stimulation Influences Response Inhibition: Cortico-cortical and Cortico-subcortical Networks. Biol Psychiatry 2019; 85:355-363. [PMID: 29724490 PMCID: PMC7004814 DOI: 10.1016/j.biopsych.2018.03.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 03/22/2018] [Accepted: 03/23/2018] [Indexed: 11/19/2022]
Abstract
BACKGROUND The ability to stop a suboptimal response is integral to decision making and is commonly impaired across psychiatric disorders. Cortical paired associative stimulation (cPAS) is a form of transcranial magnetic stimulation in which paired pulses can induce plasticity at cortical synapses. Here we used cPAS protocols to target cortico-cortical and cortico-subcortical networks by using different intervals between the paired pulses in an attempt to modify response inhibition. METHODS A total of 25 healthy volunteers underwent four cPAS sessions in random order 1 week apart: right inferior frontal cortex (IFC) stimulation preceding right presupplementary motor area (pre-SMA) stimulation by 10 or 4 ms and pre-SMA stimulation preceding IFC stimulation by 10 or 4 ms. Subjects were tested on the stop signal task along with the delay discounting task as control at baseline (randomized across sessions and cPAS protocol) and after each cPAS session. RESULTS The stop signal reaction time showed a main effect of cPAS condition when controlling for age (F3,57 = 4.05, p = .01). Younger subjects had greater impairments in response inhibition when the pre-SMA pulse preceded the IFC pulse by 10 ms. In older individuals, response inhibition improved when the IFC pulse preceded the pre-SMA pulse by 4 ms. There were no effects on delay discounting. CONCLUSIONS cPAS modified response inhibition through age-dependent long-term potentiation and depression-like plasticity mechanisms via putative cortico-cortical and cortico-subcortical networks. We show for the first time the capacity for cPAS to modify a cognitive process highly relevant to psychiatric disorders.
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Affiliation(s)
- Sina Kohl
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Ricci Hannah
- Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, United Kingdom
| | - Lorenzo Rocchi
- Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, United Kingdom
| | - Camilla L Nord
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - John Rothwell
- Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, United Kingdom
| | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neurosciences Institute, University of Cambridge, Cambridge, United Kingdom; Cambridgeshire and Peterborough National Health Service Foundation Trust, Addenbrookes Hospital, Cambridge, United Kingdom.
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Sharif-Razi M, Hodgins DC, Goghari VM. Reactive and proactive control mechanisms of response inhibition in gambling disorder. Psychiatry Res 2019; 272:114-121. [PMID: 30580134 DOI: 10.1016/j.psychres.2018.12.049] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Revised: 11/28/2018] [Accepted: 12/06/2018] [Indexed: 12/15/2022]
Abstract
Response inhibition, one component of cognitive control, refers to the ability to inhibit automatic responses and has been found to be impaired in gambling disorder. Recent models of cognitive control distinguish between two mechanisms: reactive control, the ability to stop in response to a stop-stimulus, and proactive control, the ability to anticipate and prepare for a stop. Previous studies have primarily focused on reactive modes of control in gambling disorder. The aim of the current study was to assess both reactive and proactive modes of response inhibition in individuals with gambling disorder (n = 27) and community controls (n = 21) using a variant of the stop-signal task. Second, the relationship between trait impulsivity, and reactive and proactive control was examined. No group differences in reactive or proactive control were found. However, premeditation, one domain of trait impulsivity, was associated with worse proactive control in the gambling group. These results suggest that difficulties with response inhibition may not be a core deficit in all forms of gambling disorder. Future research should continue to develop and test tasks that involve cognitive control processes in different presentations of gambling disorder.
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Affiliation(s)
- Maryam Sharif-Razi
- Addictive Behaviours Laboratory, Department of Psychology, University of Calgary, Calgary, Alberta, T2N 1N4, Canada.
| | - David C Hodgins
- Addictive Behaviours Laboratory, Department of Psychology, University of Calgary, Calgary, Alberta, T2N 1N4, Canada.
| | - Vina M Goghari
- Clinical Neuroscience of Schizophrenia (CNS) Laboratory, Department of Psychology, University of Toronto, Toronto, Ontario, Canada.
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Pauwels L, Maes C, Hermans L, Swinnen SP. Motor inhibition efficiency in healthy aging: the role of γ-aminobutyric acid. Neural Regen Res 2019; 14:741-744. [PMID: 30688254 PMCID: PMC6375039 DOI: 10.4103/1673-5374.249216] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The ability to cancel a motor response is critical for optimal functioning in various facets of daily life. Hence, efficient inhibitory motor control is a key function throughout the lifespan. Considering the fact that inhibitory motor function gradually declines with advancing age, it is not surprising that the study of motor inhibition in this age group is gaining considerable interest. In general, we can distinguish between two prominent types of motor inhibition, namely proactive and reactive inhibition. Whereas the anticipation for upcoming stops (proactive inhibition) appears readily preserved at older age, the ability to stop an already planned or initiated action (reactive inhibition) generally declines with advancing age. The differential impact of aging on proactive and reactive inhibition at the behavioral level prompts questions about the neural architecture underlying both types of inhibitory motor control. Here we will not only highlight the underlying structural brain properties of proactive and reactive inhibitory control but we will also discuss recent developments in brain-behavioral approaches, namely the registration of neurochemical compounds using magnetic resonance spectroscopy. This technique allows for the direct detection of the primary inhibitory neurotransmitter in the brain, i.e., γ-aminobutyric acid, across the broader cortical/subcortical territory, thereby opening new perspectives for better understanding the neural mechanisms mediating efficient inhibitory control in the context of healthy aging. Ultimately, these insights may contribute to the development of interventions specifically designed to counteract age-related declines in motor inhibition.
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Affiliation(s)
- Lisa Pauwels
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium
| | - Celine Maes
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium
| | - Lize Hermans
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences, Leuven, Belgium
| | - Stephan P Swinnen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Department of Movement Sciences, Group Biomedical Sciences; Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
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Brain GABA Levels Are Associated with Inhibitory Control Deficits in Older Adults. J Neurosci 2018; 38:7844-7851. [PMID: 30064995 DOI: 10.1523/jneurosci.0760-18.2018] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Revised: 07/06/2018] [Accepted: 07/24/2018] [Indexed: 01/20/2023] Open
Abstract
Healthy aging is accompanied by motor inhibition deficits that involve a slower process of stopping a prepotent motor response (i.e., reactive inhibition) rather than a diminished ability to anticipate stopping (i.e., proactive inhibition). Some studies suggest that efficient motor inhibition is related to GABAergic function. Since age-related alterations in the GABA system have also been reported, motor inhibition impairments might be linked to GABAergic alterations in the cortico-subcortical network that mediates motor inhibition. Thirty young human adults (mean age, 23.2 years; age range, 18-34 years; 14 men) and 29 older human adults (mean age, 67.5 years; age range, 60-74 years; 13 men) performed a stop-signal task with varying levels of stop-signal probability. GABA+ levels were measured with magnetic resonance spectroscopy (MRS) in right inferior frontal cortex, pre-supplementary motor area (pre-SMA), left sensorimotor cortex, bilateral striatum, and occipital cortex. We found that reactive inhibition was worse in older adults compared with young adults, as indicated by longer stop-signal reaction times (SSRTs). No group differences in proactive inhibition were observed as both groups slowed down their response to a similar degree with increasing stop-signal probability. The MRS results showed that tissue-corrected GABA+ levels were on average lower in older as compared with young adults. Moreover, older adults with lower GABA+ levels in the pre-SMA were slower at stopping (i.e., had longer SSRTs). These findings suggest a role for the GABA system in reactive inhibition deficits.SIGNIFICANCE STATEMENT Inhibitory control has been shown to diminish as a consequence of aging. We investigated whether the ability to stop a prepotent motor response and the ability to prepare to stop were related to GABA levels in different regions of the network that was previously identified to mediate inhibitory control. Overall, we found lower GABA levels in older adults compared with young adults. Importantly, those older adults who were slower at stopping had less GABA in the pre-supplementary motor area, a key node of the inhibitory control network. We propose that deficits in the stop process in part depend on the integrity of the GABA system.
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Yang CC, Völlm B, Khalifa N. The Effects of rTMS on Impulsivity in Normal Adults: a Systematic Review and Meta-Analysis. Neuropsychol Rev 2018; 28:377-392. [DOI: 10.1007/s11065-018-9376-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 04/18/2018] [Indexed: 02/08/2023]
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Maekawa T, Anderson SJ, de Brecht M, Yamagishi N. The effect of mood state on visual search times for detecting a target in noise: An application of smartphone technology. PLoS One 2018; 13:e0195865. [PMID: 29664952 PMCID: PMC5903627 DOI: 10.1371/journal.pone.0195865] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Accepted: 03/30/2018] [Indexed: 11/19/2022] Open
Abstract
The study of visual perception has largely been completed without regard to the influence that an individual’s emotional status may have on their performance in visual tasks. However, there is a growing body of evidence to suggest that mood may affect not only creative abilities and interpersonal skills but also the capacity to perform low-level cognitive tasks. Here, we sought to determine whether rudimentary visual search processes are similarly affected by emotion. Specifically, we examined whether an individual’s perceived happiness level affects their ability to detect a target in noise. To do so, we employed pop-out and serial visual search paradigms, implemented using a novel smartphone application that allowed search times and self-rated levels of happiness to be recorded throughout each twenty-four-hour period for two weeks. This experience sampling protocol circumvented the need to alter mood artificially with laboratory-based induction methods. Using our smartphone application, we were able to replicate the classic visual search findings, whereby pop-out search times remained largely unaffected by the number of distractors whereas serial search times increased with increasing number of distractors. While pop-out search times were unaffected by happiness level, serial search times with the maximum numbers of distractors (n = 30) were significantly faster for high happiness levels than low happiness levels (p = 0.02). Our results demonstrate the utility of smartphone applications in assessing ecologically valid measures of human visual performance. We discuss the significance of our findings for the assessment of basic visual functions using search time measures, and for our ability to search effectively for targets in real world settings.
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Affiliation(s)
- Toru Maekawa
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka, Japan
| | - Stephen J. Anderson
- School of Life and Health Sciences, Aston University, Birmingham, United Kingdom
- * E-mail:
| | - Matthew de Brecht
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka, Japan
- Graduate school of Frontier Biosciences, Osaka University, Osaka, Japan
- Department of Cognitive Neuroscience, Advanced Telecommunications Research Institute International, Kyoto, Japan
| | - Noriko Yamagishi
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Osaka, Japan
- Graduate school of Frontier Biosciences, Osaka University, Osaka, Japan
- Department of Cognitive Neuroscience, Advanced Telecommunications Research Institute International, Kyoto, Japan
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36
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Zanesco AP, King BG, MacLean KA, Saron CD. Cognitive Aging and Long-Term Maintenance of Attentional Improvements Following Meditation Training. JOURNAL OF COGNITIVE ENHANCEMENT 2018. [DOI: 10.1007/s41465-018-0068-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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37
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Do daily fluctuations in inhibitory control predict alcohol consumption? An ecological momentary assessment study. Psychopharmacology (Berl) 2018; 235:1487-1496. [PMID: 29497782 PMCID: PMC5919991 DOI: 10.1007/s00213-018-4860-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 02/15/2018] [Indexed: 01/13/2023]
Abstract
RATIONALE Deficient inhibitory control is predictive of increased alcohol consumption in the laboratory; however, little is known about this relationship in naturalistic, real-world settings. OBJECTIVES In the present study, we implemented ecological momentary assessment methods to investigate the relationship between inhibitory control and alcohol consumption in the real world. METHODS Heavy drinkers who were motivated to reduce their alcohol consumption (N = 100) were loaned a smartphone which administered a stop signal task twice per day at random intervals between 10 a.m. and 6 p.m. for 2 weeks. Each day, participants also recorded their planned and actual alcohol consumption and their subjective craving and mood. We hypothesised that day-to-day fluctuations in inhibitory control (stop signal reaction time) would predict alcohol consumption, over and above planned consumption and craving. RESULTS Multilevel modelling demonstrated that daily alcohol consumption was predicted by planned consumption (β = .816; 95% CI .762-.870) and craving (β = .022; 95% CI .013-.031), but inhibitory control did not predict any additional variance in alcohol consumption. However, secondary analyses demonstrated that the magnitude of deterioration in inhibitory control across the day was a significant predictor of increased alcohol consumption on that day (β = .007; 95% CI .004-.011), after controlling for planned consumption and craving. CONCLUSIONS These findings demonstrate that short-term fluctuations in inhibitory control predict alcohol consumption, which suggests that transient fluctuations in inhibition may be a risk factor for heavy drinking episodes.
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38
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Rutledge RB, Moutoussis M, Smittenaar P, Zeidman P, Taylor T, Hrynkiewicz L, Lam J, Skandali N, Siegel JZ, Ousdal OT, Prabhu G, Dayan P, Fonagy P, Dolan RJ. Association of Neural and Emotional Impacts of Reward Prediction Errors With Major Depression. JAMA Psychiatry 2017; 74:790-797. [PMID: 28678984 PMCID: PMC5710549 DOI: 10.1001/jamapsychiatry.2017.1713] [Citation(s) in RCA: 101] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
IMPORTANCE Major depressive disorder (MDD) is associated with deficits in representing reward prediction errors (RPEs), which are the difference between experienced and predicted reward. Reward prediction errors underlie learning of values in reinforcement learning models, are represented by phasic dopamine release, and are known to affect momentary mood. OBJECTIVE To combine functional neuroimaging, computational modeling, and smartphone-based large-scale data collection to test, in the absence of learning-related concerns, the hypothesis that depression attenuates the impact of RPEs. DESIGN, SETTING, AND PARTICIPANTS Functional magnetic resonance imaging (fMRI) data were collected on 32 individuals with moderate MDD and 20 control participants who performed a probabilistic reward task. A risky decision task with repeated happiness ratings as a measure of momentary mood was also tested in the laboratory in 74 participants and with a smartphone-based platform in 1833 participants. The study was conducted from November 20, 2012, to February 17, 2015. MAIN OUTCOMES AND MEASURES Blood oxygen level-dependent activity was measured in ventral striatum, a dopamine target area known to represent RPEs. Momentary mood was measured during risky decision making. RESULTS Of the 52 fMRI participants (mean [SD] age, 34.0 [9.1] years), 30 (58%) were women and 32 had MDD. Of the 74 participants in the laboratory risky decision task (mean age, 34.2 [10.3] years), 44 (59%) were women and 54 had MDD. Of the smartphone group, 543 (30%) had a depression history and 1290 (70%) had no depression history; 918 (50%) were women, and 593 (32%) were younger than 30 years. Contrary to previous results in reinforcement learning tasks, individuals with moderate depression showed intact RPE signals in ventral striatum (z = 3.16; P = .002) that did not differ significantly from controls (z = 0.91; P = .36). Symptom severity correlated with baseline mood parameters in laboratory (ρ = -0.54; P < 1 × 10-6) and smartphone (ρ = -0.30; P < 1 × 10-39) data. However, participants with depression showed an intact association between RPEs and happiness in a computational model of momentary mood dynamics (z = 4.55; P < .001) that was not attenuated compared with controls (z = -0.42; P = .67). CONCLUSIONS AND RELEVANCE The neural and emotional impact of RPEs is intact in major depression. These results suggest that depression does not affect the expression of dopaminergic RPEs and that attenuated RPEs in previous reports may reflect downstream effects more closely related to aberrant behavior. The correlation between symptom severity and baseline mood parameters supports an association between depression and momentary mood fluctuations during cognitive tasks. These results demonstrate a potential for smartphones in large-scale computational phenotyping, which is a goal for computational psychiatry.
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Affiliation(s)
- Robb B. Rutledge
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, England,Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Michael Moutoussis
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, England,Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Peter Smittenaar
- Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Peter Zeidman
- Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Tanja Taylor
- Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Louise Hrynkiewicz
- Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Jordan Lam
- Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Nikolina Skandali
- Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Jenifer Z. Siegel
- Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Olga T. Ousdal
- Wellcome Trust Centre for Neuroimaging, University College London, London, England,Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Gita Prabhu
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, England,Wellcome Trust Centre for Neuroimaging, University College London, London, England
| | - Peter Dayan
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, England,Gatsby Computational Neuroscience Unit, University College London, London, England
| | - Peter Fonagy
- Developmental Neuroscience Unit, Anna Freud Centre, London, England
| | - Raymond J. Dolan
- Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, England,Wellcome Trust Centre for Neuroimaging, University College London, London, England
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The Right Superior Frontal Gyrus and Individual Variation in Proactive Control of Impulsive Response. J Neurosci 2017; 36:12688-12696. [PMID: 27974616 DOI: 10.1523/jneurosci.1175-16.2016] [Citation(s) in RCA: 111] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 10/04/2016] [Accepted: 10/07/2016] [Indexed: 11/21/2022] Open
Abstract
A hallmark of cognitive control is the ability to rein in impulsive responses. Previously, we used a Bayesian model to describe trial-by-trial likelihood of the stop signal or p(Stop) and related regional activations to p(Stop) to response slowing in a stop signal task. Here, we characterized the regional processes of conflict anticipation in association with intersubject variation in impulse control in 114 young adults. We computed the stop signal reaction time (SSRT) and a measure of motor urgency, indexed by the reaction time (RT) difference between go and stop error trials or "GoRT - SERT," where GoRT is the go trial RT and SERT is the stop error RT. Motor urgency and SSRT were positively correlated across subjects. A linear regression identified regional activations to p(Stop), each in correlation with SSRT and motor urgency. We hypothesized that shared neural activities mediate the correlation between motor urgency and SSRT in proactive control of impulsivity. Activation of the ventromedial prefrontal cortex, posterior cingulate cortex and right superior frontal gyrus (SFG) during conflict anticipation correlated negatively with the SSRT. Activation of the right SFG also correlated negatively with GoRT - SERT. Therefore, activation of the right SFG was associated with more efficient response inhibition and less motor urgency. A mediation analysis showed that right SFG activation to conflict anticipation mediates the correlation between SSRT and motor urgency bidirectionally. The current results highlight a specific role of the right SFG in translating conflict anticipation to the control of impulsive response, which is consistent with earlier studies suggesting its function in action restraint. SIGNIFICANCE STATEMENT Individuals vary in impulse control. However, the neural bases underlying individual variation in proactive control of impulsive responses remain unknown. Here, in a large sample of young adults, we showed that activation of the right superior frontal gyrus (SFG) during conflict anticipation is positively correlated with the capacity of inhibitory control and negatively with motor urgency in the stop signal task. Importantly, activity of the right SFG mediates the counteracting processes of inhibitory control and motor urgency across subjects. The results support a unique role of the right SFG in individual variation in cognitive control.
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40
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Leunissen I, Zandbelt BB, Potocanac Z, Swinnen SP, Coxon JP. Reliable estimation of inhibitory efficiency: to anticipate, choose or simply react? Eur J Neurosci 2017; 45:1512-1523. [PMID: 28449195 DOI: 10.1111/ejn.13590] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 04/18/2017] [Accepted: 04/19/2017] [Indexed: 01/31/2023]
Abstract
Response inhibition is an important executive process studied by clinical and experimental psychologists, neurophysiologists and cognitive neuroscientists alike. Stop-signal paradigms are popular because they are grounded in a theory that provides methods to estimate the latency of an unobservable process: the stop-signal reaction time (SSRT). Critically, SSRT estimates can be biased by skew of the response time distribution and gradual slowing over the course of the experiment. Here, we present a series of experiments that directly compare three common stop-signal paradigms that differ in the distribution of response times. The results show that the widely used choice response (CR) and simple response (SR) time versions of the stop-signal paradigm are particularly susceptible to skew of the response time distribution and response slowing, and that using the anticipated response (AR) paradigm based on the Slater-Hammel task offers a viable alternative to obtain more reliable SSRT estimates.
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Affiliation(s)
- Inge Leunissen
- Movement Control and Neuroplasticity Research Group, KU Leuven, Tervuursevest 101, 3001, Leuven, Belgium
| | - Bram B Zandbelt
- Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands
| | - Zrinka Potocanac
- Department of Automation, Robotics and Biocybernetics, Jožef Stefan Institute, Ljubljana, Slovenia
| | - Stephan P Swinnen
- Movement Control and Neuroplasticity Research Group, KU Leuven, Tervuursevest 101, 3001, Leuven, Belgium
| | - James P Coxon
- School of Psychological Sciences, Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Clayton, Vic., Australia
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41
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Raud L, Huster RJ. The Temporal Dynamics of Response Inhibition and their Modulation by Cognitive Control. Brain Topogr 2017; 30:486-501. [DOI: 10.1007/s10548-017-0566-y] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 04/24/2017] [Indexed: 02/04/2023]
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42
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Wohlwend M, Olsen A, Håberg AK, Palmer HS. Exercise Intensity-Dependent Effects on Cognitive Control Function during and after Acute Treadmill Running in Young Healthy Adults. Front Psychol 2017; 8:406. [PMID: 28377735 PMCID: PMC5359239 DOI: 10.3389/fpsyg.2017.00406] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2016] [Accepted: 03/06/2017] [Indexed: 11/17/2022] Open
Abstract
The idea that physical activity differentially impacts upon performance of various cognitive tasks has recently gained increased interest. However, our current knowledge about how cognition is altered by acute physical activity is incomplete. To measure how different intensity levels of physical activity affect cognition during and after 1 bout of physical activity, 30 healthy, young participants were randomized to perform a not-X continuous performance test (CPT) during low (LI)- and moderate intensity (MI) running. The same participants were subsequently randomized to perform the not-X CPT post LI, MI, and high intensity (HI) running. In addition, exercise related mood changes were assessed through a self-report measure pre and post running at LI, MI, and HI. Results showed worsening of performance accuracy on the not-X CPT during one bout of moderate compared to low intensity running. Post running, there was a linear decrease in reaction time with increasing running intensity and no change in accuracy or mood. The decreased reaction times post HI running recovered back to baseline within 20 min. We conclude that accuracy is acutely deteriorated during the most straining physical activity while a transient intensity-dependent enhancement of cognitive control function is present following physical activity.
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Affiliation(s)
- Martin Wohlwend
- Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology Trondheim, Norway
| | - Alexander Olsen
- Department of Psychology, Faculty of Social Sciences and Technology Management, Norwegian University of Science and TechnologyTrondheim, Norway; Department of Physical Medicine and Rehabilitation, St. Olavs Hospital, Trondheim University HospitalTrondheim, Norway
| | - Asta K Håberg
- Department of Neuroscience, Faculty of Medicine, Norwegian University of Science and Technology Trondheim, Norway
| | - Helen S Palmer
- Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology Trondheim, Norway
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Strategies for stimulus selective stopping in the elderly. Acta Psychol (Amst) 2017; 173:122-131. [PMID: 28063944 DOI: 10.1016/j.actpsy.2016.12.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Revised: 12/08/2016] [Accepted: 12/20/2016] [Indexed: 11/21/2022] Open
Abstract
This study consisted of two primary aims: (1) to determine if different age groups exhibited different strategies (based on their behavioral reaction time [RT] patterns) while performing a stop-signal task and (2) whether there were age-related differences in reactive and/or proactive control processes. Twenty-four younger adults (20-30years) and 24 older adults (61-76years) participated in this study. Participants performed a stop-signal task, which included a choice RT block, global stop-signal block, and stimulus-selective stop-signal block. Participants' strategies were classified using the Bayes factor to support or reject the null hypotheses at the individual level based on paired comparisons among the mean no-signal, signal-respond, and ignore RTs. We found that older adults used a similar pattern of strategies as younger adults in performing a stimulus-selective stop-signal task; most of them utilized either the Stop then Discriminate strategy or Discriminate then Stop strategy with dependency between go and stop processing. In addition, while older adults exhibited an impaired reactive control deficiency reflected on their increased stop-signal RTs in the stimulus-selective stop-signal task, they did not show an impaired proactive control process because their go trials' RT differences between the choice RT and stop-signal blocks did not differ significantly from those of young adults.
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44
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Duque J, Petitjean C, Swinnen SP. Effect of Aging on Motor Inhibition during Action Preparation under Sensory Conflict. Front Aging Neurosci 2016; 8:322. [PMID: 28082896 PMCID: PMC5186800 DOI: 10.3389/fnagi.2016.00322] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 12/12/2016] [Indexed: 01/15/2023] Open
Abstract
Motor behaviors often require refraining from selecting options that may be part of the repertoire of natural response tendencies but that are in conflict with ongoing goals. The presence of sensory conflict has a behavioral cost but the latter can be attenuated in contexts where control processes are recruited because conflict is expected in advance, producing a behavioral gain compared to contexts where conflict occurs in a less predictable way. In the present study, we investigated the corticospinal correlates of these behavioral effects (both conflict-driven cost and context-related gain). To do so, we measured motor-evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) over the primary motor cortex (M1) of young and healthy older adults performing the Eriksen Flanker Task. Subjects performed button-presses according to a central arrow, flanked by irrelevant arrows pointing in the same (congruent trial) or opposite direction (incongruent trial). Conflict expectation was manipulated by changing the probability of congruent and incongruent trials in a given block. It was either high (mostly incongruent blocks, MIB, 80% incongruent trials) or low (mostly congruent blocks, MCB, 80% congruent). The MEP data indicate that the conflict-driven behavioral cost is associated with a strong increase in inappropriate motor activity regardless of the age of individuals, as revealed by larger MEPs in the non-responding muscle in incongruent than in congruent trials. However, this aberrant facilitation disappeared in both groups of subjects when conflict could be anticipated (i.e., in the MIBs) compared to when it occurred in a less predictably way (MCBs), probably allowing the behavioral gain observed in both the young and the older individuals. Hence, the ability to overcome and anticipate conflict was surprisingly preserved in the older adults. Nevertheless, some control processes are likely to evolve with age because the behavioral gain observed in the MIB context was associated with an attenuated suppression of MEPs at the time of the imperative signal (i.e., before conflict is actually detected) in older individuals, suggesting altered motor inhibition, compared to young individuals. In addition, the behavioral analysis suggests that young and older adults rely on different strategies to cope with conflict, including a change in speed-accuracy tradeoff.
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Affiliation(s)
- Julie Duque
- Institute of Neuroscience, Université catholique de Louvain Brussels, Belgium
| | - Charlotte Petitjean
- Institute of Neuroscience, Université catholique de Louvain Brussels, Belgium
| | - Stephan P Swinnen
- Movement Control and Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven Leuven, Belgium
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Stopping ability in younger and older adults: Behavioral and event-related potential. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2016; 17:348-363. [DOI: 10.3758/s13415-016-0483-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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46
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Hermans L, Beeckmans K, Michiels K, Lafosse C, Sunaert S, Coxon JP, Swinnen SP, Leunissen I. Proactive Response Inhibition and Subcortical Gray Matter Integrity in Traumatic Brain Injury. Neurorehabil Neural Repair 2016; 31:228-239. [DOI: 10.1177/1545968316675429] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Lize Hermans
- Movement Control and Neuroplasticity Research Group, Biomedical Sciences Group, KU Leuven, Belgium
| | - Kurt Beeckmans
- Center for Epilepsy and Acquired Brain Injury (CEPOS), Duffel, Belgium
| | - Karla Michiels
- Department of Physical Medicine and Rehabilitation, University Hospital Leuven - Campus Pellenberg, Belgium
| | | | - Stefan Sunaert
- Medical Imaging Center, Group Biomedical Sciences, KU Leuven, Belgium
| | - James P. Coxon
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Australia
| | - Stephan P. Swinnen
- Movement Control and Neuroplasticity Research Group, Biomedical Sciences Group, KU Leuven, Belgium
- Leuven Research Institute for Neuroscience & Disease (LIND), Leuven, Belgium
| | - Inge Leunissen
- Movement Control and Neuroplasticity Research Group, Biomedical Sciences Group, KU Leuven, Belgium
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47
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Contrasting neural effects of aging on proactive and reactive response inhibition. Neurobiol Aging 2016; 46:96-106. [DOI: 10.1016/j.neurobiolaging.2016.06.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 05/11/2016] [Accepted: 06/10/2016] [Indexed: 01/18/2023]
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48
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Meyer HC, Bucci DJ. Neural and behavioral mechanisms of proactive and reactive inhibition. ACTA ACUST UNITED AC 2016; 23:504-14. [PMID: 27634142 PMCID: PMC5026209 DOI: 10.1101/lm.040501.115] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 07/19/2016] [Indexed: 01/19/2023]
Abstract
Response inhibition is an important component of adaptive behavior. Substantial prior research has focused on reactive inhibition, which refers to the cessation of a motor response that is already in progress. More recently, a growing number of studies have begun to examine mechanisms underlying proactive inhibition, whereby preparatory processes result in a response being withheld before it is initiated. It has become apparent that proactive inhibition is an essential component of the overall ability to regulate behavior and has implications for the success of reactive inhibition. Moreover, successful inhibition relies on learning the meaning of specific environmental cues that signal when a behavioral response should be withheld. Proactive inhibitory control is mediated by stopping goals, which reflect the desired outcome of inhibition and include information about how and when inhibition should be implemented. However, little is known about the circuits and cellular processes that encode and represent features in the environment that indicate the necessity for proactive inhibition or how these representations are implemented in response inhibition. In this article, we will review the brain circuits and systems involved in implementing inhibitory control through both reactive and proactive mechanisms. We also comment on possible cellular mechanisms that may contribute to inhibitory control processes, noting that substantial further research is necessary in this regard. Furthermore, we will outline a number of ways in which the temporal dynamics underlying the generation of the proactive inhibitory signal may be particularly important for parsing out the neurobiological correlates that contribute to the learning processes underlying various aspects of inhibitory control.
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Affiliation(s)
- Heidi C Meyer
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755, USA
| | - David J Bucci
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755, USA
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Leunissen I, Coxon JP, Swinnen SP. A proactive task set influences how response inhibition is implemented in the basal ganglia. Hum Brain Mapp 2016; 37:4706-4717. [PMID: 27489078 DOI: 10.1002/hbm.23338] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Revised: 06/25/2016] [Accepted: 07/26/2016] [Indexed: 01/02/2023] Open
Abstract
Increasing a participant's ability to prepare for response inhibition is known to result in longer Go response times and is thought to engage a "top-down fronto-striatal inhibitory task set." This premise is supported by the observation of anterior striatum activation in functional magnetic resonance imaging (fMRI) analyses that focus on uncertain versus certain Go trials. It is assumed that setting up a proactive inhibitory task set also influences how participants subsequently implement stopping. To assess this assumption, we aimed to manipulate the degree of proactive inhibition in a modified stop-signal task to see how this manipulation influences activation when reacting to the Stop cue. Specifically, we tested whether there is differential activity of basal ganglia nuclei, namely the subthalamic nucleus (STN) and anterior striatum, on Stop trials when stop-signal probability was relatively low (20%) or high (40%). Successful stopping was associated with increased STN activity when Stop trials were infrequent and increased caudate head activation when Stop trials were more likely, suggesting a different implementation of reactive response inhibition by the basal ganglia for differing degrees of proactive response control. Hum Brain Mapp 37:4706-4717, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Inge Leunissen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Leuven, Belgium
| | - James P Coxon
- Movement Neuroscience Laboratory, University of Auckland, New Zealand.,School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Australia
| | - Stephan P Swinnen
- KU Leuven, Movement Control and Neuroplasticity Research Group, Leuven, Belgium.,Leuven Research Institute for Neuroscience & Disease (LIND), Leuven, Belgium
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