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Li X, Liu H, Zhang T. Resting-state functional MRI study of conventional MRI-negative intractable epilepsy in children. Front Hum Neurosci 2024; 18:1337294. [PMID: 38510512 PMCID: PMC10951396 DOI: 10.3389/fnhum.2024.1337294] [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: 11/12/2023] [Accepted: 02/19/2024] [Indexed: 03/22/2024] Open
Abstract
Objective The study aimed at investigating functional connectivity strength (FCS) changes in children with MRI-negative intractable epilepsy (ITE) and evaluating correlations between aberrant FCS and both disease duration and intelligence quotient (IQ). Methods Fifteen children with ITE, 24 children with non-intractable epilepsy (nITE) and 25 matched healthy controls (HCs) were subjected to rs-fMRI. IQ was evaluated by neuropsychological assessment. Voxelwise analysis of covariance was conducted in the whole brain, and then pairwise comparisons were made across three groups using Bonferroni corrections. Results FCS was significantly different among three groups. Relative to HCs, ITE patients exhibited decreased FCS in right temporal pole of the superior temporal gyrus, middle temporal gyrus, bilateral precuneus, etc and increased FCS values in left triangular part of the inferior frontal gyrus, parahippocampal gyrus, supplementary motor area, caudate and right calcarine fissure and surrounding cortex and midbrain. The nITE patients presented decreased FCS in right orbital superior frontal gyrus, precuneus etc and increased FCS in bilateral fusiform gyri, parahippocampal gyri, etc. In comparison to nITE patients, the ITE patients presented decreased FCS in right medial superior frontal gyrus and left inferior temporal gyrus and increased FCS in right middle temporal gyrus, inferior temporal gyrus and calcarine fissure and surrounding cortex. Correlation analysis indicated that FCS in left caudate demonstrated correlation with verbal IQ (VIQ) and disease duration. Conclusion ITE patients demonstrated changed FCS values in the temporal and prefrontal cortices relative to nITE patients, which may be related to drug resistance in epilepsy. FCS in the left caudate nucleus associated with VIQ, suggesting the caudate may become a key target for improving cognitive impairment and seizures in children with ITE.
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Affiliation(s)
| | - Heng Liu
- Department of Radiology, Medical Imaging Center, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Tijiang Zhang
- Department of Radiology, Medical Imaging Center, Affiliated Hospital of Zunyi Medical University, Zunyi, China
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Zhao H, Ge M, Turel O, Bechara A, He Q. Brain modular connectivity interactions can predict proactive inhibition in smokers when facing smoking cues. Addict Biol 2023; 28:e13284. [PMID: 37252878 DOI: 10.1111/adb.13284] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 02/25/2023] [Accepted: 04/14/2023] [Indexed: 06/01/2023]
Abstract
Proactive inhibition is a critical ability for smokers who seek to moderate or quit smoking. It allows them to pre-emptively refrain from seeking and using nicotine products, especially when facing salient smoking cues in daily life. Nevertheless, there is limited knowledge on the impact of salient cues on behavioural and neural aspects of proactive inhibition, especially in smokers with nicotine withdrawal. Here, we seek to bridge this gap. To this end, we recruited 26 smokers to complete a stop-signal anticipant task (SSAT) in two separate sessions: once in the neutral cue condition and once in the smoking cue condition. We used graph-based modularity analysis to identify the modular structures of proactive inhibition-related network during the SSAT and further investigated how the interactions within and between these modules could be modulated by different proactive inhibition demands and salient smoking cues. Findings pointed to three stable brain modules involved in the dynamical processes of proactive inhibition: the sensorimotor network (SMN), cognitive control network (CCN) and default-mode network (DMN). With the increase in demands, functional connectivity increased within the SMN, CCN and between SMN-CCN and decreased within the DMN and between SMN-DMN and CCN-DMN. Salient smoking cues disturbed the effective dynamic interactions of brain modules. The profiles for those functional interactions successfully predicted the behavioural performance of proactive inhibition in abstinent smokers. These findings advance our understanding of the neural mechanisms of proactive inhibition from a large-scale network perspective. They can shed light on developing specific interventions for abstinent smokers.
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Affiliation(s)
- Haichao Zhao
- Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
| | - Mengjiao Ge
- Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
| | - Ofir Turel
- Computing Information Systems, The University of Melbourne, Parkville, Victoria, Australia
- Department of Psychology, and Brain and Creativity Institute, University of Southern California, Los Angeles, California, USA
| | - Antoine Bechara
- Department of Psychology, and Brain and Creativity Institute, University of Southern California, Los Angeles, California, USA
| | - Qinghua He
- Faculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing, China
- Collaborative Innovation Center of Assessment toward Basic Education Quality, Southwest University Branch, Chongqing, China
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Liu S, Ni J, Yan F, Yin N, Li X, Ma R, Wu J, Zhou G, Feng J. Functional changes of the prefrontal cortex, insula, caudate and associated cognitive impairment (chemobrain) in NSCLC patients receiving different chemotherapy regimen. Front Oncol 2022; 12:1027515. [PMID: 36408140 PMCID: PMC9667024 DOI: 10.3389/fonc.2022.1027515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/21/2022] [Indexed: 01/24/2023] Open
Abstract
INTRODUCTION Chemotherapy-induced cognitive impairment (CICI), termed "chemobrain", is highly prevalent in cancer patients following the administration of chemotherapeutic agents. However, the potential pathophysiological mechanisms underlying CICI remain unknown. This study aimed to explore the functional changes of the brain and associated cognitive impairment in non-small cell lung cancer (NSCLC) patients receiving different chemotherapy regimen. METHODS A total of 49 NSCLC patients (25 patients receiving pemetrexed plus carboplatin chemotherapy (PeCC) and 24 patients receiving paclitaxel plus carboplatin chemotherapy (PaCC)) and 61 healthy controls (HCs) were recruited and underwent resting-state functional magnetic resonance imaging (rs-fMRI) scanning, as well as cognitive function tests including Mini Mental State Exam (MMSE), Montreal Cognitive Assessment (MoCA), Functional Assessment of Cancer Therapy-Cognitive Function (FACT-Cog). Brain functional activities were measured by regional homogeneity (ReHo) values, which were calculated and compared between groups. In addition, the associations between ReHo values of changed brain regions and scores of cognitive scales were evaluated. RESULTS NSCLC patients showed decreased scores of MMSE, MoCA and FACT-Cog and decreased ReHo values in the bilateral superior frontal gyrus (medial), middle frontal gyrus, left inferior frontal gyrus (orbital part) and increased ReHo values in the bilateral insula and caudate. Compared with HCs, patients receiving PeCC demonstrated decreased ReHo values in the right superior frontal gyrus (dorsolateral), left superior frontal gyrus (medial orbital), middle frontal gyrus, insula and rectus gyrus while patients receiving PaCC presented increased ReHo values in the right rolandic operculum, left insula and right caudate. Compared with patients receiving PaCC, patients receiving PeCC had decreased ReHo values in the left superior frontal gyrus (orbital part), middle frontal gyrus and increased ReHo values in the left inferior temporal gyrus, lingual gyrus. Moreover, positive relationships were found between ReHo values of the left and right superior frontal gyrus (medial) and the total scores of FACT-Cog in the patient group. CONCLUSION The findings provided evidences that carboplatin-based chemotherapy could cause CICI accompanied by functional changes in the prefrontal cortex, insula, caudate. These might be the pathophysiological basis for CICI of NSCLC patients and were affected by the differences of chemotherapeutic agent administration through different biological mechanisms.
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Affiliation(s)
- Siwen Liu
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jie Ni
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Fei Yan
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Na Yin
- Department of Radiology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Xiaoyou Li
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Rong Ma
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jianzhong Wu
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Guoren Zhou
- Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China,*Correspondence: Jifeng Feng, ; Guoren Zhou,
| | - Jifeng Feng
- Research Center for Clinical Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China,Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China,*Correspondence: Jifeng Feng, ; Guoren Zhou,
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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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Long J, Song X, Wang Y, Wang C, Huang R, Zhang R. Distinct neural activation patterns of age in subcomponents of inhibitory control: A fMRI meta-analysis. Front Aging Neurosci 2022; 14:938789. [PMID: 35992590 PMCID: PMC9389163 DOI: 10.3389/fnagi.2022.938789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 07/11/2022] [Indexed: 11/15/2022] Open
Abstract
Inhibitory control (IC) is a fundamental cognitive function showing age-related change across the healthy lifespan. Since different cognitive resources are needed in the two subcomponents of IC (cognitive inhibition and response inhibition), regions of the brain are differentially activated. In this study, we aimed to determine whether there is a distinct age-related activation pattern in these two subcomponents. A total of 278 fMRI articles were included in the current analysis. Multilevel kernel density analysis was used to provide data on brain activation under each subcomponent of IC. Contrast analyses were conducted to capture the distinct activated brain regions for the two subcomponents, whereas meta-regression analyses were performed to identify brain regions with distinct age-related activation patterns in the two subcomponents of IC. The results showed that the right inferior frontal gyrus and the bilateral insula were activated during the two IC subcomponents. Contrast analyses revealed stronger activation in the superior parietal lobule during cognitive inhibition, whereas stronger activation during response inhibition was observed primarily in the right inferior frontal gyrus, bilateral insula, and angular gyrus. Furthermore, regression analyses showed that activation of the left anterior cingulate cortex, left inferior frontal gyrus, bilateral insula, and left superior parietal lobule increased and decreased with age during cognitive inhibition and response inhibition, respectively. The results showed distinct activation patterns of aging for the two subcomponents of IC, which may be related to the differential cognitive resources recruited. These findings may help to enhance knowledge of age-related changes in the activation patterns of IC.
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Affiliation(s)
- Jixin Long
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Xiaoqi Song
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
| | - You Wang
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
- Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Chanyu Wang
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
| | - Ruiwang Huang
- School of Psychology, South China Normal University, Guangzhou, China
| | - Ruibin Zhang
- Cognitive Control and Brain Healthy Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China
- Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Lu L, Yang W, Zhang X, Tang F, Du Y, Fan L, Luo J, Yan C, Zhang J, Li J, Liu J, von Deneen KM, Yu D, Liu J, Yuan K. Potential brain recovery of frontostriatal circuits in heroin users after prolonged abstinence: A preliminary study. J Psychiatr Res 2022; 152:326-334. [PMID: 35785575 DOI: 10.1016/j.jpsychires.2022.06.036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 06/23/2022] [Accepted: 06/24/2022] [Indexed: 11/16/2022]
Abstract
Neuroscientists have devoted efforts to explore potential brain recovery after prolonged abstinence in heroin users (HU). However, not much is known about whether frontostriatal circuits can recover after prolonged abstinence in HU. An eight-month longitudinal study was carried out for HU. Two MRI scans were obtained at baseline (HU1) and 8-month follow-up (HU2). The functional and structural connectivities of dorsal and ventral frontostriatal pathways were measured by resting-state functional connectivity (RSFC) and diffusion tensor imaging (DTI). Correlation analyses were employed to reveal the associations between neuroimaging and behavioral changes. Results suggested that relative to healthy controls (HCs), HU1 showed lower fractional anisotropy (FA) in the right dorsolateral prefrontal cortex (DLPFC)-to-caudate tracts and medial orbitofrontal cortex (mOFC)-to-nucleus accumbens (NAc) tracts as well as decreased RSFC in the left mOFC-NAc circuits. Longitudinal results revealed reduced craving and enhanced cognitive control in HU2 compared with HU1. After prolonged abstinence, HU2 showed increased FA values in the right DLPFC-caudate and mOFC-NAc tracts as well as increased RSFC strength in the bilateral mOFC-NAc circuits compared with HU1. In addition, changes in RSFC and FA values in the right mOFC-NAc circuit were negatively correlated with craving score changes. Similarly, negative correlations were also found between changes of RSFC in the bilateral DLPFC-caudate circuits and TMT-A scores. We provided scientific evidence for brain recovery of the dorsal and ventral frontostriatal circuits in HU after prolonged abstinence, and these circuits may be potential neuroimaging biomarkers for cognition and craving changes.
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Affiliation(s)
- Ling Lu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China; Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Wenhan Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaozi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China; Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Fei Tang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Yanyao Du
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Li Fan
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jing Luo
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Cui Yan
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China
| | - Jun Zhang
- Hunan Judicial Police Academy, Changsha, China
| | - Jun Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China; Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Jixin Liu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China; Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, 710071, China
| | - Karen M von Deneen
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
| | - Dahua Yu
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, China.
| | - Kai Yuan
- Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China; Engineering Research Center of Molecular and Neuroimaging, Ministry of Education, Xi'an, Shaanxi, 710071, China; International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China; Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, China.
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Evidence for non-selective response inhibition in uncertain contexts revealed by combined meta-analysis and Bayesian analysis of fMRI data. Sci Rep 2022; 12:10137. [PMID: 35710930 PMCID: PMC9203582 DOI: 10.1038/s41598-022-14221-x] [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: 10/11/2021] [Accepted: 06/02/2022] [Indexed: 11/24/2022] Open
Abstract
Response inhibition is typically considered a brain mechanism selectively triggered by particular “inhibitory” stimuli or events. Based on recent research, an alternative non-selective mechanism was proposed by several authors. Presumably, the inhibitory brain activity may be triggered not only by the presentation of “inhibitory” stimuli but also by any imperative stimuli, including Go stimuli, when the context is uncertain. Earlier support for this notion was mainly based on the absence of a significant difference between neural activity evoked by equiprobable Go and NoGo stimuli. Equiprobable Go/NoGo design with a simple response time task limits potential confounds between response inhibition and accompanying cognitive processes while not preventing prepotent automaticity. However, previous neuroimaging studies used classical null hypothesis significance testing, making it impossible to accept the null hypothesis. Therefore, the current research aimed to provide evidence for the practical equivalence of neuronal activity in the Go and NoGo trials using Bayesian analysis of functional magnetic resonance imaging (fMRI) data. Thirty-four healthy participants performed a cued Go/NoGo task with an equiprobable presentation of Go and NoGo stimuli. To independently localize brain areas associated with response inhibition in similar experimental conditions, we performed a meta-analysis of fMRI studies using equal-probability Go/NoGo tasks. As a result, we observed overlap between response inhibition areas and areas that demonstrate the practical equivalence of neuronal activity located in the right dorsolateral prefrontal cortex, parietal cortex, premotor cortex, and left inferior frontal gyrus. Thus, obtained results favour the existence of non-selective response inhibition, which can act in settings of contextual uncertainty induced by the equal probability of Go and NoGo stimuli.
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He JL, Hirst RJ, Puri R, Coxon J, Byblow W, Hinder M, Skippen P, Matzke D, Heathcote A, Wadsley CG, Silk T, Hyde C, Parmar D, Pedapati E, Gilbert DL, Huddleston DA, Mostofsky S, Leunissen I, MacDonald HJ, Chowdhury NS, Gretton M, Nikitenko T, Zandbelt B, Strickland L, Puts NAJ. OSARI, an Open-Source Anticipated Response Inhibition Task. Behav Res Methods 2022; 54:1530-1540. [PMID: 34751923 PMCID: PMC9170665 DOI: 10.3758/s13428-021-01680-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/02/2021] [Indexed: 11/08/2022]
Abstract
The stop-signal paradigm has become ubiquitous in investigations of inhibitory control. Tasks inspired by the paradigm, referred to as stop-signal tasks, require participants to make responses on go trials and to inhibit those responses when presented with a stop-signal on stop trials. Currently, the most popular version of the stop-signal task is the 'choice-reaction' variant, where participants make choice responses, but must inhibit those responses when presented with a stop-signal. An alternative to the choice-reaction variant of the stop-signal task is the 'anticipated response inhibition' task. In anticipated response inhibition tasks, participants are required to make a planned response that coincides with a predictably timed event (such as lifting a finger from a computer key to stop a filling bar at a predefined target). Anticipated response inhibition tasks have some advantages over the more traditional choice-reaction stop-signal tasks and are becoming increasingly popular. However, currently, there are no openly available versions of the anticipated response inhibition task, limiting potential uptake. Here, we present an open-source, free, and ready-to-use version of the anticipated response inhibition task, which we refer to as the OSARI (the Open-Source Anticipated Response Inhibition) task.
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Affiliation(s)
- Jason L He
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, 16 De Crespigny Park, Camberwell, London, SE5 8AF, UK.
| | - Rebecca J Hirst
- The Drug research University of Tasmania Group, University of Tasmania, Hobart, Australia
- Trinity College School of Psychology and Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Rohan Puri
- Open Science Tools (PsychoPy) lab, School of Psychology, University of Nottingham, Nottingham, UK
| | - James Coxon
- Sensorimotor Neuroscience and Ageing Research Group, School of Psychological Sciences, College of Health and Medicine, University of Tasmania, Hobart, Australia
| | - Winston Byblow
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Mark Hinder
- Open Science Tools (PsychoPy) lab, School of Psychology, University of Nottingham, Nottingham, UK
| | - Patrick Skippen
- Department of Exercise Sciences, Movement Neuroscience Laboratory, The University of Auckland, Auckland, New Zealand
| | - Dora Matzke
- Neuroscience Research Australia, Sydney, Australia
| | - Andrew Heathcote
- Department of Psychology, Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands
| | - Corey G Wadsley
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Tim Silk
- School of Psychology, University of Newcastle, Newcastle, Australia
| | - Christian Hyde
- School of Psychology, University of Newcastle, Newcastle, Australia
| | - Dinisha Parmar
- School of Psychology, University of Newcastle, Newcastle, Australia
| | - Ernest Pedapati
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Melbourne, Australia
| | - Donald L Gilbert
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Melbourne, Australia
| | - David A Huddleston
- Cognitive Neuroscience Unit, School of Psychology, Deakin University, Melbourne, Australia
| | - Stewart Mostofsky
- Department of Pediatrics, Division of Neurology, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Inge Leunissen
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, USA
- Department of Movement Sciences, Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
| | - Hayley J MacDonald
- Department of Movement Sciences, Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, 3001, Heverlee, Belgium
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, 6229, ER, Maastricht, The Netherlands
| | - Nahian S Chowdhury
- Department of Exercise Sciences, Movement Neuroscience Laboratory, The University of Auckland, Auckland, New Zealand
| | - Matthew Gretton
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK
| | - Tess Nikitenko
- Open Science Tools (PsychoPy) lab, School of Psychology, University of Nottingham, Nottingham, UK
| | - Bram Zandbelt
- Donders Institute for Brain, Cognition & Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Psychiatry, Radboudumc, Nijmegen, The Netherlands
| | - Luke Strickland
- Future of Work Institute, Curtin University, Perth, Australia
| | - Nicolaas A J Puts
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, 16 De Crespigny Park, Camberwell, London, SE5 8AF, UK
- MRC Centre for Neurodevelopmental Disorders, King's College London, London, UK
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The Asymmetric Laplace Gaussian (ALG) Distribution as the Descriptive Model for the Internal Proactive Inhibition in the Standard Stop Signal Task. Brain Sci 2022; 12:brainsci12060730. [PMID: 35741615 PMCID: PMC9221528 DOI: 10.3390/brainsci12060730] [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: 04/25/2022] [Revised: 05/24/2022] [Accepted: 05/30/2022] [Indexed: 02/01/2023] Open
Abstract
Measurements of response inhibition components of reactive inhibition and proactive inhibition within the stop-signal paradigm have been of particular interest to researchers since the 1980s. While frequentist nonparametric and Bayesian parametric methods have been proposed to precisely estimate the entire distribution of reactive inhibition, quantified by stop signal reaction times (SSRT), there is no method yet in the stop signal task literature to precisely estimate the entire distribution of proactive inhibition. We identify the proactive inhibition as the difference of go reaction times for go trials following stop trials versus those following go trials and introduce an Asymmetric Laplace Gaussian (ALG) model to describe its distribution. The proposed method is based on two assumptions of independent trial type (go/stop) reaction times and Ex-Gaussian (ExG) models. Results indicated that the four parametric ALG model uniquely describes the proactive inhibition distribution and its key shape features, and its hazard function is monotonically increasing, as are its three parametric ExG components. In conclusion, the four parametric ALG model can be used for both response inhibition components and its parameters and descriptive and shape statistics can be used to classify both components in a spectrum of clinical conditions.
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Russo-Netzer P. Recalibrating the Compass in a Changing World: Education for Meaning and Meaningful Education. JOURNAL OF CONSTRUCTIVIST PSYCHOLOGY 2022. [DOI: 10.1080/10720537.2022.2068708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Pninit Russo-Netzer
- Department of Advanced Studies, Achva Academic College; University of Haifa, Israel
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11
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Parr AC, Calabro F, Tervo-Clemmens B, Larsen B, Foran W, Luna B. Contributions of dopamine-related basal ganglia neurophysiology to the developmental effects of incentives on inhibitory control. Dev Cogn Neurosci 2022; 54:101100. [PMID: 35344773 PMCID: PMC8961188 DOI: 10.1016/j.dcn.2022.101100] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/23/2022] [Accepted: 03/16/2022] [Indexed: 01/19/2023] Open
Abstract
Inhibitory control can be less reliable in adolescence, however, in the presence of rewards, adolescents' performance often improves to adult levels. Dopamine is known to play a role in signaling rewards and supporting cognition, but its role in the enhancing effects of reward on adolescent cognition and inhibitory control remains unknown. Here, we assessed the contribution of basal ganglia dopamine-related neurophysiology using longitudinal MR-based assessments of tissue iron in rewarded inhibitory control, using an antisaccade task. In line with prior work, we show that neutral performance improves with age, and incentives enhance performance in adolescents to that of adults. We find that basal ganglia tissue iron is associated with individual differences in the magnitude of this reward boost, which is strongest in those with high levels of tissue iron, predominantly in adolescence. Our results provide novel evidence that basal ganglia neurophysiology supports developmental effects of rewards on cognition, which can inform neurodevelopmental models of the role of dopamine in reward processing during adolescence.
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Affiliation(s)
- Ashley C Parr
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States.
| | - Finnegan Calabro
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 14213, United States
| | | | - Bart Larsen
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Will Foran
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States
| | - Beatriz Luna
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 14213, United States.
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12
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Altered dynamic interactions within frontostriatal circuits reflect disturbed craving processing in internet gaming disorder. CNS Spectr 2022; 27:109-117. [PMID: 32951628 DOI: 10.1017/s1092852920001832] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Individuals with internet gaming disorder (IGD) are generally characterized by impaired executive control, persistent game-craving, and excessive reward-seeking behaviors. However, the causal interactions within the frontostriatal circuits underlying these problematic behaviors remain unclear. Here, spectral dynamic causal modeling (spDCM) was implemented to explore this issue. METHODS Resting-state functional magnetic resonance imaging data from 317 online game players (148 IGD subjects and 169 recreational game users (RGUs)) were collected. Using independent component analysis, we determined six region of interests within frontostriatal circuits for further spDCM analysis, and further statistical analyses based on the parametric empirical Bayes framework were performed. RESULTS Compared with RGUs, IGD subjects showed inhibitory effective connectivity from the right orbitofrontal cortex (OFC) to the right caudate and from the right dorsolateral prefrontal cortex to the left OFC; at the same time, excitatory effective connectivity was observed from the thalamus to the left OFC. Correlation analyses results showed that the directional connection from the right OFC to the right caudate was negatively associated with addiction severity. CONCLUSIONS These results suggest that the disrupted causal interactions between specific regions might contribute to dysfunctions within frontostriatal circuits in IGD, and the pathway from the right OFC to the right caudate could serve as a target for brain modulation in future IGD interventions.
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13
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Lannoy S, Pfefferbaum A, Le Berre AP, Thompson WK, Brumback T, Schulte T, Pohl KM, De Bellis MD, Nooner KB, Baker FC, Prouty D, Colrain IM, Nagel BJ, Brown SA, Clark DB, Tapert SF, Sullivan EV, Müller-Oehring EM. Growth trajectories of cognitive and motor control in adolescence: How much is development and how much is practice? Neuropsychology 2022; 36:44-54. [PMID: 34807641 PMCID: PMC9995176 DOI: 10.1037/neu0000771] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVE Executive control continues to develop throughout adolescence and is vulnerable to alcohol use. Although longitudinal assessment is ideal for tracking executive function development and onset of alcohol use, prior testing experience must be distinguished from developmental trajectories. METHOD We used the Stroop Match-to-Sample task to examine the improvement of processing speed and specific cognitive and motor control over 4 years in 445 adolescents. The twice-minus-once-tested method was used and expanded to four test sessions to delineate prior experience (i.e., learning) from development. A General Additive Model evaluated the predictive value of age and sex on executive function development and potential influences of alcohol use on development. RESULTS Results revealed strong learning between the first two assessments. Adolescents significantly improved their speed processing over 4 years. Compared with boys, girls enhanced ability to control cognitive interference and motor reactions. Finally, the influence of alcohol use initiation was tested over 4 years for development in 110 no/low, 110 moderate/heavy age- and sex-matched drinkers; alcohol effects were not detected in the matched groups. CONCLUSIONS Estimation of learning effects is crucial for examining developmental changes longitudinally. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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14
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Kowalczyk OS, Mehta MA, O’Daly OG, Criaud M. Task-based functional connectivity in attention-deficit/hyperactivity disorder: A systematic review. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2021; 2:350-367. [DOI: 10.1016/j.bpsgos.2021.10.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 10/07/2021] [Accepted: 10/11/2021] [Indexed: 11/30/2022] Open
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15
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Pas P, Hulshoff Pol HE, Raemaekers M, Vink M. Self-regulation in the pre-adolescent brain. Dev Cogn Neurosci 2021; 51:101012. [PMID: 34530249 PMCID: PMC8450202 DOI: 10.1016/j.dcn.2021.101012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/21/2021] [Accepted: 09/08/2021] [Indexed: 01/09/2023] Open
Abstract
Self-regulation refers to the ability to monitor and modulate emotions, behavior, and cognition, which in turn allows us to achieve goals and adapt to ever changing circumstances. This trait develops from early infancy well into adulthood, and features both low-level executive functions such as reactive inhibition, as well as higher level executive functions such as proactive inhibition. Development of self-regulation is linked to brain maturation in adolescence and adulthood. However, how self-regulation in daily life relates to brain functioning in pre-adolescent children is not known. To this aim, we have analyzed data from 640 children aged 8–11, who performed a stop-signal anticipation task combined with functional magnetic resonance imaging, in addition to questionnaire data on self-regulation. We find that pre-adolescent boys and girls who display higher levels of self-regulation, are better able to employ proactive inhibitory control strategies, exhibit stronger frontal activation and more functional coupling between cortical and subcortical areas of the brain. Furthermore, we demonstrate that pre-adolescent children show significant activation in areas of the brain that were previously only associated with reactive and proactive inhibition in adults and adolescents. Thus, already in pre-adolescent children, frontal-striatal brain areas are active during self-regulatory behavior. Children with higher levels of self-regulation employ more proactive inhibition. During proactive inhibition, children aged 8–11 show activation in frontal-cortical areas. Children higher in self-regulation exhibit more cortical-subcortical coupling. Children aged 8–11 show similar brain activation as adults during inhibition.
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Affiliation(s)
- P Pas
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands; Experimental Psychology, Utrecht University, Utrecht, The Netherlands.
| | - H E Hulshoff Pol
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - M Raemaekers
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - M Vink
- Developmental Psychology, Utrecht University, Utrecht, The Netherlands
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16
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Wang S, Zhang M, Liu S, Xu Y, Shao Z, Chen L, Li J, Yang W, Liu J, Yuan K. Impulsivity in heroin-dependent individuals: structural and functional abnormalities within frontostriatal circuits. Brain Imaging Behav 2021; 15:2454-2463. [PMID: 33528803 DOI: 10.1007/s11682-020-00445-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 12/09/2020] [Accepted: 12/28/2020] [Indexed: 12/31/2022]
Abstract
High levels of impulsivity are a risk factor for the initiation of heroin use and a core behavioral characteristic of heroin dependence. Impulsivity also contributes to the maintenance of drug use and hinders effective therapy. Here we sought to identify neuroimaging markers of impulsivity in heroin-dependent individuals (HDI), with a focus on the nucleus accumbens (NAc), a key region implicated in impulsivity and drug addiction generally. Volume and resting-state functional connectivity (RSFC) differences of the bilateral NAc were investigated between 21 HDI and 21 age-, gender-, nicotine-, alcohol-matched healthy controls (HC). The neuroimaging results were then correlated with the Barratt Impulsivity Scales (BIS-11). Higher motor impulsivity (t = 2.347, p = 0.0253) and larger right NAc volume (F (1,38) = 4.719, p = 0.036) was observed in HDI. The right NAc volume was positively correlated with BIS total (r = 0.6196, p = 0.0239) /motor (r = 0.5921, p = 0.0330) scores in HC and BIS motor (r = 0.5145, p = 0.0170) score in HDI. A negative correlation was found between RSFC of the right NAc-bilateral superior frontal gyrus (SFG) and motor impulsivity in HDI (left: r=-0.6537, p = 0.0013; right: r=-0.6167, p = 0.0029) and HC (left: r=-0.6490,p = 0.0164; right: r=-0.6993, p = 0.0078). We aimed to reveal novel multimodality neuroimaging biomarkers of the higher impulsivity in HDI by focusing on the NAc and corresponding functional circuits. Higher motor impulsivity was observed in HDI. Furthermore, the volume of the right NAc and the RSFC strength of right NAc-SFG could be neuroimaging biomarkers for the severity of impulsivity in HDI. These potential biomarkers could be a target for novel treatments in HDI.
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Affiliation(s)
- Shicong Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China
| | - Min Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China
| | - Shuang Liu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China
| | - Yan Xu
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China
| | - Ziqiang Shao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China
| | - Longmao Chen
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China
| | - Jun Li
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China
| | - Wenhan Yang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, People's Republic of China. .,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, People's Republic of China.
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17
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Wang H, Fan L, Song M, Liu B, Wu D, Jiang R, Li J, Li A, Banaschewski T, Bokde ALW, Quinlan EB, Desrivières S, Flor H, Grigis A, Garavan H, Chaarani B, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Artiges E, Nees F, Orfanos DP, Poustka L, Millenet S, Fröhner JH, Smolka MN, Walter H, Whelan R, Schumann G, Jiang T. Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence. Cereb Cortex 2020; 31:2686-2700. [PMID: 33386409 DOI: 10.1093/cercor/bhaa383] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Derailment of inhibitory control (IC) underlies numerous psychiatric and behavioral disorders, many of which emerge during adolescence. Identifying reliable predictive biomarkers that place the adolescents at elevated risk for future IC deficits can help guide early interventions, yet the scarcity of longitudinal research has hindered the progress. Here, using a large-scale longitudinal dataset in which the same subjects performed a stop signal task during functional magnetic resonance imaging at ages 14 and 19, we tracked their IC development individually and tried to find the brain features predicting their development by constructing prediction models using 14-year-olds' functional connections within a network or between a pair of networks. The participants had distinct between-subject trajectories in their IC development. Of the candidate connections used for prediction, ventral attention-subcortical network interconnections could predict the individual development of IC and formed a prediction model that generalized to previously unseen individuals. Furthermore, we found that connectivity between these two networks was related to substance abuse problems, an IC-deficit related problematic behavior, within 5 years. Our study reveals individual differences in IC development from mid- to late-adolescence and highlights the importance of ventral attention-subcortical network interconnections in predicting future IC development and substance abuse in adolescents.
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Affiliation(s)
- Haiyan Wang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Lingzhong Fan
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ming Song
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Bing Liu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Dongya Wu
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Rongtao Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin Li
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
| | - Ang Li
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London SE5 8AF, United Kingdom
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London SE5 8AF, United Kingdom
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.,Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Bader Chaarani
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, NG7 2RD, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, 10587 Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud-University Paris Saclay, DIGITEO Labs, Rue Noetzlin, 91190 Gif sur Yvette, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes; and AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, 75013, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud-University Paris Saclay, DIGITEO Labs, Gif sur Yvette; and Psychiatry Department 91G16, Orsay Hospital, Orsay, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany.,Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, 37075 Göttingen, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, 68159 Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Chemnitzer Str. 46a01187, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Chemnitzer Str. 46a01187, Dresden, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin 2, Ireland
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine (PONS), Institute of Psychiatry, Psychology & Neuroscience, SGDP Centre, King's College London, London SE5 8AF, United Kingdom.,PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, 10117 Berlin, Germany.,Leibniz Institute for Neurobiology, 39118 Magdeburg, Germany.,Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai 200433, China
| | - Tianzi Jiang
- Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 625014, China.,The Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072, Australia
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18
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Chevalier N, Meaney JA, Traut HJ, Munakata Y. Adaptiveness in proactive control engagement in children and adults. Dev Cogn Neurosci 2020; 46:100870. [PMID: 33120165 PMCID: PMC7591345 DOI: 10.1016/j.dcn.2020.100870] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 10/01/2020] [Accepted: 10/07/2020] [Indexed: 11/17/2022] Open
Abstract
Age-related progress in cognitive control reflects more frequent engagement of proactive control during childhood. As proactive preparation for an upcoming task is adaptive only when the task can be reliably predicted, progress in proactive control engagement may rely on more efficient use of contextual cue reliability. Developmental progress may also reflect increasing efficiency in how proactive control is engaged, making this control mode more advantageous with age. To address these possibilities, 6-year-olds, 9-year-olds, and adults completed three versions of a cued task-switching paradigm in which contextual cue reliability was manipulated. When contextual cues were reliable (but not unreliable or uninformative), all age groups showed greater pupil dilation and a more pronounced (pre)cue-locked posterior positivity associated with faster response times, suggesting adaptive engagement of proactive task selection. However, adults additionally showed a larger contingent negative variation (CNV) predicting a further reduction in response times with reliable cues, suggesting motor preparation in adults but not children. Thus, early developing use of contextual cue reliability promotes adaptiveness in proactive control engagement from early childhood; yet, less efficient motor preparation in children makes this control mode overall less advantageous in childhood than adulthood.
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Affiliation(s)
| | | | - Hilary Joy Traut
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA
| | - Yuko Munakata
- Department of Psychology and Center for Mind and Brain, University of California, Davis, Davis, CA, USA
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19
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Brevers D, Cheron G, Dahman T, Petieau M, Palmero-Soler E, Foucart J, Verbanck P, Cebolla AM. Spatiotemporal brain signal associated with high and low levels of proactive motor response inhibition. Brain Res 2020; 1747:147064. [PMID: 32818530 DOI: 10.1016/j.brainres.2020.147064] [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: 01/30/2020] [Revised: 07/02/2020] [Accepted: 08/14/2020] [Indexed: 01/24/2023]
Abstract
Proactive motor response inhibition is used to strategically restrain actions in preparation for stopping. In this study, we first examined the event related potential (ERP) elicited by low and high level of proactive response inhibition, as assessed by the stop-signal task. Corroborating previous studies, we found an increased amplitude of the contingent negative variation (CNV) in the high level of proactive inhibition. As the main goal of the present study, swLORETA was used to determine the neural generators characterising CNV differences between low and high levels of proactive inhibition. Results showed that the higher level of proactive inhibition involved numerous generators, including within the middle and medial frontal gyrus. Importantly, we observed that the lower level of proactive inhibition also involved a specific neural generator, within the frontopolar cortex. Altogether, present findings identified the specific brain sources of ERP signals involved in the later phase of motor preparation under low or high levels of proactive motor response inhibition.
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Affiliation(s)
- D Brevers
- Addictive and Compulsive Behaviours Lab, Health and Behaviour Institute, University of Luxembourg, Luxembourg; Research in Psychology Applied to Motor Learning, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium; Laboratory of Psychological Medicine and Addictology, Faculty of Medicine, Brugmann-campus, Université Libre de Bruxelles, Brussels, Belgium; Laboratory of Neurophysiology and Movement Biomechanics, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium.
| | - G Cheron
- Laboratory of Neurophysiology and Movement Biomechanics, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium
| | - T Dahman
- Research in Psychology Applied to Motor Learning, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium
| | - M Petieau
- Laboratory of Neurophysiology and Movement Biomechanics, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium
| | - E Palmero-Soler
- Laboratory of Neurophysiology and Movement Biomechanics, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium
| | - J Foucart
- Research in Psychology Applied to Motor Learning, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium; Haute Ecole Libre de Bruxelles (H.E.L.B.) Ilya Prigogine, Physiotherapy Section, Erasme Campus, Brussels, Belgium
| | - P Verbanck
- Research in Psychology Applied to Motor Learning, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium; Laboratory of Psychological Medicine and Addictology, Faculty of Medicine, Brugmann-campus, Université Libre de Bruxelles, Brussels, Belgium
| | - A M Cebolla
- Laboratory of Neurophysiology and Movement Biomechanics, Faculty of Motor Sciences, Erasme Campus, Université Libre de Bruxelles, Brussels, Belgium
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20
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Fischer JT, Cirino PT, DeMaster D, Alfano C, Bick J, Fan W, Ewing-Cobbs L. Frontostriatal White Matter Integrity Relations with "Cool" and "Hot" Self-Regulation after Pediatric Traumatic Brain Injury. J Neurotrauma 2020; 38:122-132. [PMID: 32993456 DOI: 10.1089/neu.2019.6937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Traumatic brain injury (TBI) produces microstructural damage to white matter pathways connecting neural structures in pre-frontal and striatal regions involved in self-regulation (SR). Dorsal and ventral frontostriatal pathways have been linked to cognitive ("cool") and emotional ("hot") SR, respectively. We evaluated the relation of frontostriatal pathway fractional anisotropy (FA) 2 months post-TBI on cool and hot SR assessed 7 months post-TBI. Participants were 8-15 years of age, including children with uncomplicated mild TBI (mTBI; n = 24), more severe TBI (complicated-mild, moderate, severe [cms]TBI; n = 60), and typically developing (TD) children (n = 55). Diffusion tensor tractography was used to map frontostriatal pathways. Cool SR included focused and sustained attention performance, and parent-reported attention, whereas hot SR included risk-taking performance and parent-reported emotional control. Multivariate general linear models showed that children with cmsTBI had greater parent-reported cool and hot SR difficulties and lower dorsal and ventral FA than TD children. Focused attention, risk taking, and emotional control correlated with FA of specific dorsal and ventral pathways; however, only the effect of TBI on focused attention was mediated by integrity of dorsal pathways. Results suggest that frontostriatal FA may serve as a biomarker of risk for SR difficulties or to assess response to interventions targeting SR in pediatric TBI and in broader neurodevelopmental populations.
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Affiliation(s)
- Jesse T Fischer
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Paul T Cirino
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Dana DeMaster
- Department of Pediatrics, University of Texas Health Sciences at Houston, Houston, Texas, USA
| | - Candice Alfano
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Johanna Bick
- Department of Psychology, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Weihua Fan
- Texas Institute for Measurement, Evaluation, and Statistics, University of Houston, Houston, Texas, USA
| | - Linda Ewing-Cobbs
- Department of Pediatrics, University of Texas Health Sciences at Houston, Houston, Texas, USA
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21
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Developing adaptive control: Age-related differences in task choices and awareness of proactive and reactive control demands. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2020; 21:561-572. [PMID: 33009653 PMCID: PMC10162508 DOI: 10.3758/s13415-020-00832-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/09/2020] [Indexed: 12/22/2022]
Abstract
Developmental changes in executive function are often explained in terms of core cognitive processes and associated neural substrates. For example, younger children tend to engage control reactively in the moment as needed, whereas older children increasingly engage control proactively, in anticipation of needing it. Such developments may reflect increasing capacities for active maintenance dependent upon dorsolateral prefrontal cortex. However, younger children will engage proactive control when reactive control is made more difficult, suggesting that developmental changes may also reflect decisions about whether to engage control, and how. We tested awareness of temporal control demands and associated task choices in 5-year-olds and 10-year-olds and adults using a demand selection task. Participants chose between one task that enabled proactive control and another task that enabled reactive control. Adults reported awareness of these different control demands and preferentially played the proactive task option. Ten-year-olds reported awareness of control demands but selected task options at chance. Five-year-olds showed neither awareness nor task preference, but a subsample who exhibited awareness of control demands preferentially played the reactive task option, mirroring their typical control mode. Thus, developmental improvements in executive function may in part reflect better awareness of cognitive demands and adaptive behavior, which may in turn reflect changes in dorsal anterior cingulate in signaling task demands to lateral prefrontal cortex.
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Buimer EEL, Pas P, Brouwer RM, Froeling M, Hoogduin H, Leemans A, Luijten P, van Nierop BJ, Raemaekers M, Schnack HG, Teeuw J, Vink M, Visser F, Hulshoff Pol HE, Mandl RCW. The YOUth cohort study: MRI protocol and test-retest reliability in adults. Dev Cogn Neurosci 2020; 45:100816. [PMID: 33040972 PMCID: PMC7365929 DOI: 10.1016/j.dcn.2020.100816] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 06/09/2020] [Accepted: 07/02/2020] [Indexed: 11/30/2022] Open
Abstract
The YOUth cohort study is a unique longitudinal study on brain development in the general population. As part of the YOUth study, 2000 children will be included at 8, 9 or 10 years of age and planned to return every three years during adolescence. Magnetic resonance imaging (MRI) brain scans are collected, including structural T1-weighted imaging, diffusion-weighted imaging (DWI), resting-state functional MRI and task-based functional MRI. Here, we provide a comprehensive report of the MR acquisition in YOUth Child & Adolescent including the test-retest reliability of brain measures derived from each type of scan. To measure test-retest reliability, 17 adults were scanned twice with a week between sessions using the full YOUth MRI protocol. Intraclass correlation coefficients were calculated to quantify reliability. Global brain measures derived from structural T1-weighted and DWI scans were reliable. Resting-state functional connectivity was moderately reliable, as well as functional brain measures for both the inhibition task (stop versus go) and the emotion task (face versus house). Our results complement previous studies by presenting reliability results of regional brain measures collected with different MRI modalities. YOUth facilitates data sharing and aims for reliable and high-quality data. Here we show that using the state-of-the art YOUth MRI protocol brain measures can be estimated reliably.
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Affiliation(s)
- Elizabeth E L Buimer
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Pascal Pas
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Rachel M Brouwer
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Martijn Froeling
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Hans Hoogduin
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Peter Luijten
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Bastiaan J van Nierop
- Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands; Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Mathijs Raemaekers
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Hugo G Schnack
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Jalmar Teeuw
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - Matthijs Vink
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands; Department of Psychology, Utrecht University, Utrecht, the Netherlands
| | | | - Hilleke E Hulshoff Pol
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands
| | - René C W Mandl
- UMCU Brain Center, University Medical Center Utrecht, University Utrecht, Utrecht, the Netherlands.
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23
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A Time Series-Based Point Estimation of Stop Signal Reaction Times: More Evidence on the Role of Reactive Inhibition-Proactive Inhibition Interplay on the SSRT Estimations. Brain Sci 2020; 10:brainsci10090598. [PMID: 32872438 PMCID: PMC7563621 DOI: 10.3390/brainsci10090598] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/08/2020] [Accepted: 08/26/2020] [Indexed: 01/12/2023] Open
Abstract
The Stop Signal Reaction Time (SSRT) is a latency measurement for the unobservable human brain stopping process, and was formulated by Logan (1994) without consideration of the nature (go/stop) of trials that precede the stop trials. Two asymptotically equivalent and larger indices of mixture SSRT and weighted SSRT were proposed in 2017 to address this issue from time in task longitudinal perspective, but estimation based on the time series perspective has still been missing in the literature. A time series-based state space estimation of SSRT was presented and it was compared with Logan 1994 SSRT over two samples of real Stop Signal Task (SST) data and the simulated SST data. The results showed that time series-based SSRT is significantly larger than Logan’s 1994 SSRT consistent with former Longitudinal-based findings. As a conclusion, SSRT indices considering the after effects of inhibition in their estimation process are larger yielding to hypothesize a larger estimates of SSRT using information on the reactive inhibition, proactive inhibition and their interplay in the SST data.
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24
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Neurocognitive development of flanker and Stroop interference control: A near-infrared spectroscopy study. Brain Cogn 2020; 143:105585. [DOI: 10.1016/j.bandc.2020.105585] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/07/2020] [Accepted: 05/15/2020] [Indexed: 01/07/2023]
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Vink M, Gladwin TE, Geeraerts S, Pas P, Bos D, Hofstee M, Durston S, Vollebergh W. Towards an integrated account of the development of self-regulation from a neurocognitive perspective: A framework for current and future longitudinal multi-modal investigations. Dev Cogn Neurosci 2020; 45:100829. [PMID: 32738778 PMCID: PMC7394770 DOI: 10.1016/j.dcn.2020.100829] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Revised: 07/10/2020] [Accepted: 07/23/2020] [Indexed: 12/27/2022] Open
Abstract
Self-regulation is the ability to monitor and modulate emotions, behaviour, and cognition in order to adapt to changing circumstances. Developing adequate self-regulation is associated with better social coping and higher educational achievement later in life; poor self-regulation has been linked to a variety of detrimental developmental outcomes. Here, we focus on the development of neurocognitive processes essential for self-regulation. We outline a conceptual framework emphasizing that this is inherently an integrated, dynamic process involving interactions between brain maturation, child characteristics (genetic makeup, temperament, and pre- and perinatal factors) and environmental factors (family characteristics, parents and siblings, peers, and broader societal influences including media development). We introduce the Consortium of Individual Development (CID), which combines a series of integrated large-scale, multi-modal, longitudinal studies to take essential steps towards the ultimate goal of understanding and supporting this process.
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Affiliation(s)
- Matthijs Vink
- Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, the Netherlands; Developmental Psychology, Utrecht University, Utrecht, the Netherlands; UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Thomas Edward Gladwin
- Behavioural Science Institute, Radboud University Nijmegen, Nijmegen, the Netherlands; Institute for Lifecourse Development, University of Greenwich, London, UK
| | - Sanne Geeraerts
- Department of Child and Adolescent Studies, Utrecht University, Utrecht, the Netherlands
| | - Pascal Pas
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Dienke Bos
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Marissa Hofstee
- Department of Child and Adolescent Studies, Utrecht University, Utrecht, the Netherlands
| | - Sarah Durston
- UMC Utrecht Brain Center, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Wilma Vollebergh
- Department of Interdisciplinary Social Science, Utrecht University, Utrecht, the Netherlands
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26
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Cope LM, Hardee JE, Martz ME, Zucker RA, Nichols TE, Heitzeg MM. Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study. Dev Cogn Neurosci 2020; 43:100781. [PMID: 32510344 PMCID: PMC7212183 DOI: 10.1016/j.dcn.2020.100781] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 03/02/2020] [Accepted: 04/04/2020] [Indexed: 01/09/2023] Open
Abstract
Background The goal of this work was to characterize the maturation of inhibitory control brain function from childhood to early adulthood using longitudinal data collected in two cohorts. Methods Functional MRI during a go/no-go task was conducted in 290 participants, with 88 % undergoing repeated scanning at 1- to 2-year intervals. One group entered the study at age 7–13 years (n = 117); the other entered at age 18–23 years (n = 173). 33.1 % of the sample had two parents with a substance use disorder (SUD), 43.8 % had one parent with an SUD, and 23.1 % had no parents with an SUD. 1162 scans were completed, covering ages 7–28, with longitudinal data from the cohorts overlapping across ages 16–21. A marginal model with sandwich estimator standard errors was used to characterize voxel-wise age-related changes in hemodynamic response associated with successful inhibitory control. Results There was significant positive linear activation associated with age in the frontal, temporal, parietal, and occipital cortices. No clusters survived thresholding with negative linear, positive or negative quadratic, or positive or negative cubic contrasts. Conclusions These findings extend previous cross-sectional and small-scale longitudinal studies that have observed positive linear developmental trajectories of brain function during inhibitory control.
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Affiliation(s)
- Lora M Cope
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
| | - Jillian E Hardee
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
| | - Meghan E Martz
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
| | - Robert A Zucker
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
| | - Thomas E Nichols
- University of Oxford, Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, United Kingdom; University of Oxford, Wellcome Centre for Integrative Neuroimaging, FMRIB Centre, Nuffield Department of Clinical Neurosciences, Oxford, OX3 9DU, United Kingdom; University of Warwick, Department of Statistics, Coventry, CV4 7AL, United Kingdom.
| | - Mary M Heitzeg
- University of Michigan, Department of Psychiatry and Addiction Center, 4250 Plymouth Road, Ann Arbor, MI 48109, USA.
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Steinberg L, Icenogle G. Using Developmental Science to Distinguish Adolescents and Adults Under the Law. ACTA ACUST UNITED AC 2019. [DOI: 10.1146/annurev-devpsych-121318-085105] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
A developmental scientific perspective on drawing legal age boundaries begins with the premise that the age at which the rights and responsibilities of adulthood are conferred to minors must align with the psychological capacities and skills necessary to exercise good judgment in specific contexts. This article examines three aspects of development relevant to this analysis: cognitive capabilities, especially those that support reasoned and deliberative decision making; psychosocial capacities, especially those that facilitate self-regulation under conditions of social or emotional arousal; and neurobiological maturation in brain regions and systems that undergird these cognitive and psychosocial skills. We conclude that the maturation of the capacity to reason and deliberate systematically precedes, by as much as five years, the maturation of the ability to exercise self-regulation, especially in socially and emotionally arousing contexts. Legal age boundaries should distinguish between two very different decision-making contexts: those that allow for unhurried, logical reflection and those that do not.
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Affiliation(s)
- Laurence Steinberg
- Department of Psychology, Temple University, Philadelphia, Pennsylvania 19122, USA
| | - Grace Icenogle
- School of Social Ecology, University of California, Irvine, California 92697, USA
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28
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Neurodevelopmental shifts in learned value transfer on cognitive control during adolescence. Dev Cogn Neurosci 2019; 40:100730. [PMID: 31756586 PMCID: PMC6934050 DOI: 10.1016/j.dcn.2019.100730] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 08/05/2019] [Accepted: 11/04/2019] [Indexed: 11/23/2022] Open
Abstract
Value-associated cues in the environment often enhance subsequent goal-directed behaviors in adults, a phenomenon supported by the integration of motivational and cognitive neural systems. Given that the interactions among these systems change throughout adolescence, we tested when the beneficial effects of value associations on subsequent cognitive control performance emerge during adolescence. Participants (N = 81) aged 13-20 completed a reinforcement learning task with four cue-incentive pairings that could yield high gain, low gain, high loss, or low loss outcomes. Next, participants completed a Go/NoGo task during fMRI where the NoGo targets comprised the previously learned cues, which tested how prior value associations influence cognitive control performance. Improved accuracy for previously learned high gain relative to low gain cues emerged with age. Older adolescents exhibited enhanced recruitment of the dorsal striatum and ventrolateral prefrontal cortex during cognitive control execution to previously learned high gain relative to low gain cues. Older adolescents also expressed increased coupling between the dorsal striatum and dorsolateral prefrontal cortex for high gain cues, whereas younger adolescents expressed increased coupling between the striatum and ventromedial prefrontal cortex. These findings reveal that learned high value cue-incentive associations enhance cognitive control in late adolescence in parallel with value-selective recruitment of corticostriatal systems.
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29
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Bauducco SV, Salihovic S, Boersma K. Bidirectional associations between adolescents' sleep problems and impulsive behavior over time. Sleep Med X 2019; 1:100009. [PMID: 33870168 PMCID: PMC8041124 DOI: 10.1016/j.sleepx.2019.100009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 08/05/2019] [Accepted: 08/06/2019] [Indexed: 11/29/2022] Open
Abstract
Objective/Background Adolescents who experience sleep problems are less able to resist impulses. Furthermore, youths who show more impulsive behaviors are, in turn, assumed to have more sleep problems, which sets the stage for a negative cycle over time. Empirical research has shown some evidence that sleep problems affect impulse control, but the bidirectional link has previously not been tested. Therefore, the aim of this study was to test this assumption. Methods In this study, we used cross-lagged models to investigate the bidirectional association between sleep problems (ie, insomnia and sleep duration) and impulsive behaviors over two years in a cohort of young adolescents (n = 2767, mean age ∼13.7, 47.6% girls). We also investigated the moderating role of age and gender. Results The results showed that the links between sleep duration/insomnia and impulsive behavior are bidirectional. Youths who experienced sleep problems also experienced increased difficulties with impulse control, and problems regulating impulses were also linked with increases in sleep problems, and these effects were systematic over two years. Moreover, age did not moderate these associations but impulsive behaviors had a larger impact on girls’ insomnia as compared to boys. Conclusions By confirming the bi-directionality of this association, this study supports the importance of developing interventions to promote sleep health in adolescents but also the need to tailor such programs to adolescents’ development because adolescents might not be able to prioritize sleep if they cannot control their impulses. Poor sleep and impulsive behavior were bidirectionally linked over three years. Girls might be at higher risk of insomnia when displaying impulsive behavior. Sleep interventions should take into account adolescents' lack of impulse control.
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Affiliation(s)
- Serena V. Bauducco
- Center for Health and Medical Psychology, Örebro University, Sweden
- Corresponding author. Fakultetsgatan 1, 70182, Örebro, Sweden. Fax: +4619303484.
| | - Selma Salihovic
- Center for Developmental Research, Örebro University, Sweden
| | - Katja Boersma
- Center for Health and Medical Psychology, Örebro University, Sweden
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30
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Jones RM, Pattwell SS. Future considerations for pediatric cancer survivorship: Translational perspectives from developmental neuroscience. Dev Cogn Neurosci 2019; 38:100657. [PMID: 31158802 PMCID: PMC6697051 DOI: 10.1016/j.dcn.2019.100657] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 04/26/2019] [Accepted: 05/06/2019] [Indexed: 02/06/2023] Open
Abstract
Breakthroughs in modern medicine have increased pediatric cancer survival rates throughout the last several decades. Despite enhanced cure rates, a subset of pediatric cancer survivors exhibit life-long psychological side effects. A large body of work has addressed potential mechanisms for secondary symptoms of anxiety, post-traumatic stress, impaired emotion regulation and cognitive deficits in adults. Yet, absent from many studies are the ways in which cancer treatment can impact the developing brain. Additionally, it remains less known whether typical neurobiological changes during adolescence and early adulthood may potentially buffer or exacerbate some of the known negative cancer survivorship outcomes. This review highlights genetic, animal, and human neuroimaging research across development. We focus on the neural circuitry associated with aversive learning, which matures throughout childhood, adolescence and early adulthood. We argue that along with other individual differences, the precise timing of oncological treatment insults on such neural circuitry may expose particular vulnerabilities for pediatric cancer patients. We also explore other moderators of treatment outcomes, including genetic polymorphisms and neural mechanisms underlying memory and cognitive control. We discuss how neural maturation extending into young adulthood may also provide a sensitive period for intervention to improve psychological and cognitive outcomes in pediatric cancer survivors.
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Affiliation(s)
- Rebecca M Jones
- The Sackler Institute for Developmental Psychobiology, Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, United States
| | - Siobhan S Pattwell
- Human Biology Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Mailstop C3-168, Seattle, WA 98109, United States.
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31
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Du Plessis S, Perez A, Fouche JP, Phillips N, Joska JA, Vink M, Myer L, Zar HJ, Stein DJ, Hoare J. Efavirenz is associated with altered fronto-striatal function in HIV+ adolescents. J Neurovirol 2019; 25:783-791. [PMID: 31165369 DOI: 10.1007/s13365-019-00764-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 04/24/2019] [Accepted: 05/15/2019] [Indexed: 01/11/2023]
Abstract
Neurotoxicity associated with the antiretroviral efavirenz (EFV) has been documented in HIV-infected adults, but there are no data on the impact of EFV on brain function in adolescents. We investigated potential alterations in fronto-striatal function associated with EFV use in adolescents. A total of 86 adolescents underwent a Stop Signal Anticipation Task (SSAT) during functional MRI (fMRI), 39 HIV+ adolescents receiving EFV, 27 HIV+ adolescents on antiretroviral therapy without EFV (matched on age, gender, education, CD4 cell count and HIV viral load) and 20 HIV- matched controls (matched on age and gender). The task required participants to give timed GO responses with occasional STOP signals at fixed probabilities. Reactive inhibition was modelled as a correct STOP response and proactive inhibition was modelled after response slowing as the STOP probability increases. A priori mask-based regions associated with reactive and proactive inhibition were entered into two respective multivariate ANOVAs. The EFV treatment group showed significantly blunted proactive inhibitory behavioural responses compared to HIV+ adolescents not receiving EFV. There was no difference in reactive inhibition between treatment groups. We also demonstrated a significant effect of EFV treatment on BOLD signal in proactive inhibition regions. There was no difference in regions involved in reactive inhibition. We found no differences between adolescents not receiving EFV and HIV- controls, showing that functional and behavioural differences were unique to the EFV group. Here, we demonstrate for the first time a potential adverse impact of EFV on higher cortical function in young HIV+ adolescents.
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Affiliation(s)
- Stéfan Du Plessis
- Department of Psychiatry, Faculty of Heath Sciences, Stellenbosch University, Francie van Zijl Avenue, Tygerberg, Cape Town, South Africa.
| | - Alexander Perez
- Division of Epidemiology and Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Jean-Paul Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Nicole Phillips
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - John A Joska
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Matthijs Vink
- Departments of Experimental and Developmental Psychology, Utrecht University, Utrecht, The Netherlands
| | - Landon Myer
- Division of Epidemiology and Biostatistics, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
- Centre for Infectious Disease Epidemiology and Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Heather J Zar
- Department of Pediatrics & Child Health, Red Cross Children's Hospital, UCT, Cape Town, South Africa
- SA Medical Research Council Unit on Child & Adolescent Health, Cape Town, South Africa
| | - Dan J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- SA Medical Research Council Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Jacqueline Hoare
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
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Adolescent sex differences in cortico-subcortical functional connectivity during response inhibition. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2019; 20:1-18. [PMID: 31111341 DOI: 10.3758/s13415-019-00718-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Numerous lines of evidence have shown that cognitive processes engaged during response inhibition tasks are associated with structure and functional integration of regions within fronto-parietal networks. However, while prior studies have started to characterize how intrinsic connectivity during resting state differs between boys and girls, comparatively less is known about how functional connectivity differs between males and females when brain function is exogenously driven by the processing demands of typical Go/No-Go tasks that assess both response inhibition and error processing. The purpose of this study was to characterize adolescent sex differences and possible changes in sexually dimorphic regional functional connectivity across adolescent development in both cortical and subcortical brain connectivity elicited during a visual Go/No-Go task. A total of 130 healthy adolescents (ages 12-25 years) performed a Go/No-Go task during functional magnetic resonance imaging. High model-order group independent component analysis was used to characterize whole-brain network functional connectivity during response inhibition and then a univariate technique used to evaluate differences related to sex and age. As predicted and similar to previously described findings from non-task-driven resting state connectivity studies, functional connectivity sex differences were observed in several subcortical regions, including the amygdala, caudate, thalamus, and cortical regions, including inferior frontal gyrus engaged most strongly during successful response inhibition and/or error processing. Importantly, adolescent boys and girls exhibited different normative profiles of age-related changes in several default mode networks of regions and anterior cingulate cortex. These results suggest that cortical-subcortical functional networks supporting response inhibition operate differently between sexes during adolescence.
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33
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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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McCarthy JM, Dumais KM, Zegel M, Pizzagalli DA, Olson DP, Moran LV, Janes AC. Sex differences in tobacco smokers: Executive control network and frontostriatal connectivity. Drug Alcohol Depend 2019; 195:59-65. [PMID: 30592997 PMCID: PMC6625360 DOI: 10.1016/j.drugalcdep.2018.11.023] [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: 06/16/2018] [Revised: 11/19/2018] [Accepted: 11/19/2018] [Indexed: 01/02/2023]
Abstract
BACKGROUND Women experience greater difficulty quitting smoking than men, which may be explained by sex differences in brain circuitry underlying cognitive control. Prior work has linked reduced interhemispheric executive control network (ECN) coupling with poor executive function, shorter time to relapse, and greater substance use. Lower structural connectivity between a key ECN hub, the dorsolateral prefrontal cortex (DLPFC), and the dorsal striatum (DS) also contributes to less efficient cognitive control recruitment, and reduced intrahemispheric connectivity between these regions has been associated with smoking relapse. Therefore, sex differences were probed by evaluating interhemispheric ECN and intrahemispheric DLPFC-DS connectivity. To assess the potential sex by nicotine interaction, a pilot sample of non-smokers was evaluated following acute nicotine and placebo administration. METHODS Thirty-five smokers (19 women) completed one resting state functional magnetic resonance imaging scan. Seventeen non-smokers (8 women) were scanned twice using a repeated measures design where they received 2 and 0 mg nicotine. RESULTS In smokers, women had less interhemispheric ECN and DLPFC-DS coupling than men. In non-smokers, there was a drug x sex interaction where women, relative to men, had weaker ECN coupling following nicotine but not placebo administration. CONCLUSIONS The current work indicates that nicotine-dependent women, versus men, have weaker connectivity in brain networks critically implicated in cognitive control. How these connectivity differences contribute to the behavioral aspects of smoking requires more testing. However, building on the literature, it is likely these deficits in functional connectivity contribute to the lower abstinence rates noted in women relative to men.
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Affiliation(s)
- Julie M McCarthy
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA.
| | - Kelly M Dumais
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - Maya Zegel
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA
| | - Diego A Pizzagalli
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - David P Olson
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - Lauren V Moran
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
| | - Amy C Janes
- McLean Imaging Center, McLean Hospital, 115 Mill St., Belmont, MA, 02478, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA, 02215, USA
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Pas P, Plessis SD, van den Munkhof HE, Gladwin TE, Vink M. Using subjective expectations to model the neural underpinnings of proactive inhibition. Eur J Neurosci 2019; 49:1575-1586. [PMID: 30556927 PMCID: PMC6618303 DOI: 10.1111/ejn.14308] [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: 07/12/2018] [Revised: 11/26/2018] [Accepted: 11/30/2018] [Indexed: 12/22/2022]
Abstract
Proactive inhibition – the anticipation of having to stop a response – relies on objective information contained in cue‐related contingencies in the environment, as well as on the subjective interpretation derived from these cues. To date, most studies of brain areas underlying proactive inhibition have exclusively considered the objective predictive value of environmental cues, by varying the probability of stop‐signals. However, by only taking into account the effect of different cues on brain activation, the subjective component of how cues affect behavior is ignored. We used a modified stop‐signal response task that includes a measurement for subjective expectation, to investigate the effect of this subjective interpretation. After presenting a cue indicating the probability that a stop‐signal will occur, subjects were asked whether they expected a stop‐signal to occur. Furthermore, response time was used to retrospectively model brain activation related to stop‐expectation. We found more activation during the cue period for 50% stop‐signal probability, when contrasting with 0%, in the mid and inferior frontal gyrus, inferior parietal lobe and putamen. When contrasting expected vs. unexpected trials, we found modest effects in the mid frontal gyrus, parietal, and occipital areas. With our third contrast, we modeled brain activation during the cue with trial‐by‐trial variances in response times. This yielded activation in the putamen, inferior parietal lobe, and mid frontal gyrus. Our study is the first to use the behavioral effects of proactive inhibition to identify the underlying brain regions, by employing an unbiased task‐design that temporally separates cue and response.
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Affiliation(s)
- Pascal Pas
- University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Stefan Du Plessis
- Department of Psychiatry, Stellenbosch University, Cape Town, South Africa
| | | | | | - Matthijs Vink
- Departments of Experimental & Developmental Psychology, Utrecht University, Utrecht, The Netherlands
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Stanley B, Perez-Rodriguez MM, Labouliere C, Roose S. A Neuroscience-Oriented Research Approach to Borderline Personality Disorder. J Pers Disord 2018; 32:784-822. [PMID: 29469663 DOI: 10.1521/pedi_2017_31_326] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Traditionally, the study of personality disorders had been based on psychoanalytic or behavioral models. Over the past two decades, there has been an emerging neuroscience model of borderline personality disorder (BPD) grounded in the concept of BPD as a condition in which dysfunctional neural circuits underlie its pathological dimensions, some of which include emotion dysregulation (broadly encompassing affective instability, negative affectivity, and hyperarousal), abnormal interpersonal functioning, and impulsive aggression. This article, initiated at a joint Columbia University- Cornell University Think Tank on BPD with representation from the Icahn School of Medicine at Mount Sinai, suggests how to advance research in BPD by studying the dimensions that underlie BPD in addition to studying the disorder as a unitary diagnostic entity. We suggest that linking the underlying neurobiological abnormalities to behavioral symptoms of the disorder can inform a research agenda to better understand BPD with its multiple presentations.
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Affiliation(s)
- Barbara Stanley
- Department of Psychiatry, Columbia University, New York City
| | | | | | - Steven Roose
- Department of Psychiatry, Columbia University, New York City.,New York State Psychiatric Institute, New York City
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Yuan K, Zhao M, Yu D, Manza P, Volkow ND, Wang GJ, Tian J. Striato-cortical tracts predict 12-h abstinence-induced lapse in smokers. Neuropsychopharmacology 2018; 43:2452-2458. [PMID: 30131564 PMCID: PMC6180048 DOI: 10.1038/s41386-018-0182-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 08/06/2018] [Accepted: 08/07/2018] [Indexed: 12/21/2022]
Abstract
Striatal circuit dysfunction is implicated in smoking behaviors and lapses during abstinence attempts. However, little is known about whether the structural connectivity of striatal tracts can be used to predict abstinence-induced craving and lapses. The tract strengths of striatal circuits were compared in 53 male nicotine-dependent cigarette smokers and 58 matched nonsmokers, using seed-based classification by diffusion tensor imaging (DTI) probabilistic tractography with 10 a priori target masks. A 12-h abstinence procedure was then employed, after which 31 individuals abstained and 22 lapsed. Linear regression and binary logistic regression was conducted to test whether the tract strength of frontostriatal circuits was associated with craving changes in abstainers and predicted lapse in smokers. Compared with nonsmokers, in the left hemisphere, smokers showed weaker tract strength in striatum-medial orbitofrontal cortex (mOFC), striatum-ventral lateral prefrontal cortex (vlPFC), striatum-inferior frontal gyrus (IFG) and striatum-posterior cingulate cortex (PCC) (Bonferroni corrected, p < 0.05/20 = 0.0025). In abstainers, the abstinence-induced increases in craving were associated with the tract strength of the left striatum-mOFC and striatum-vlPFC. The tract strength of left striatum-dorsolateral PFC (dlPFC) predicted lapse in smokers with an accuracy of 68.3%. These results provide system-level insights into the weaker tract strength of frontostriatal circuits in male smokers and their potential roles as neuroimaging markers for abstinence-induced craving and risk of lapse. Future studies in female smokers are needed to determine if this generalizes across genders.
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Affiliation(s)
- Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China. .,National Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD, 20892, USA. .,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi,, 710071, People's Republic of China. .,Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China. .,Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, 541001, People's Republic of China.
| | - Meng Zhao
- 0000 0001 0707 115Xgrid.440736.2School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071 People’s Republic of China ,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi, 710071 People’s Republic of China
| | - Dahua Yu
- Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi, 710071 People’s Republic of China
| | - Peter Manza
- 0000 0001 2297 5165grid.94365.3dNational Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD 20892 USA
| | - Nora D. Volkow
- 0000 0001 2297 5165grid.94365.3dNational Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD 20892 USA ,0000 0001 2297 5165grid.94365.3dNational Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892 USA
| | - Gene-Jack Wang
- 0000 0001 2297 5165grid.94365.3dNational Institute on Alcoholism and Alcohol Abuse, National Institutes of Health, Bethesda, MD 20892 USA
| | - Jie Tian
- 0000 0001 0707 115Xgrid.440736.2School of Life Science and Technology, Xidian University, Xi’an, Shaanxi 710071 People’s Republic of China ,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi’an, Shaanxi, 710071 People’s Republic of China ,0000000119573309grid.9227.eInstitute of Automation, Chinese Academy of Sciences, Beijing, 100190 People’s Republic of China
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Edalati H, Doucet C, Conrod PJ. A Developmental Social Neuroscience Model for Understanding Pathways to Substance Use Disorders During Adolescence. Semin Pediatr Neurol 2018; 27:35-41. [PMID: 30293588 DOI: 10.1016/j.spen.2018.03.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Adolescence is a transitional period of development characterized by critical changes in physical, neural, cognitive, affective, and social functions. Studies investigating the underlying mechanisms of substance use at levels of self-report, brain response, and behavioral data are generally consistent with suggestions from dual-process model that differential growth rates of frontally mediated control and striato-frontal reward processing are related to a heightened risk of substance use during adolescence. However, social theories highlight the important role of social context and environment in which adolescents grow up and suggest that growing up in an unfavorable environment and in particular exposure to adverse childhood experiences play a huge role in how this vulnerability is translated into actual risk. In this review, we provide a summary of recent theories that examine a number of key individual and social and environmental risk factors underlying risk for early initiation and escalation of substance misuse. We also present a model that expands the dual-process model to incorporate the role of negative self-concept and negative affect associated with growing up in an unfavorable environment and their interactions with cognitive control and inhibition to further explain vulnerability to early initiation and development of substance misuse in adolescents.
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Affiliation(s)
- Hanie Edalati
- Department of Psychiatry, Université de Montréal, Montreal, Canada; CHU Sainte-Justine Research Center, Department of Psychiatry, University of Montreal, Montreal, QC H3T 1C5, Canada
| | - Christine Doucet
- Department of Psychiatry, Université de Montréal, Montreal, Canada; CHU Sainte-Justine Research Center, Department of Psychiatry, University of Montreal, Montreal, QC H3T 1C5, Canada
| | - Patricia J Conrod
- Department of Psychiatry, Université de Montréal, Montreal, Canada; CHU Sainte-Justine Research Center, Department of Psychiatry, University of Montreal, Montreal, QC H3T 1C5, Canada
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Moisala M, Salmela V, Carlson S, Salmela-Aro K, Lonka K, Hakkarainen K, Alho K. Neural activity patterns between different executive tasks are more similar in adulthood than in adolescence. Brain Behav 2018; 8:e01063. [PMID: 30051640 PMCID: PMC6160639 DOI: 10.1002/brb3.1063] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 05/14/2018] [Accepted: 06/11/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Adolescence is a time of ongoing neural maturation and cognitive development, especially regarding executive functions. In the current study, age-related differences in the neural correlates of different executive functions were tracked by comparing three age groups consisting of adolescents and young adults. METHODS Brain activity was measured with functional magnetic resonance imaging (fMRI) from 167 human participants (13- to 14-year-old middle adolescents, 16- to 17-year-old late adolescents and 20- to 24-year-old young adults; 80 female, 87 male) while they performed attention and working memory tasks. The tasks were designed to tap into four putative sub-processes of executive function: division of attention, inhibition of distractors, working memory, and attention switching. RESULTS Behaviorally, our results demonstrated superior task performance in older participants across all task types. When brain activity was examined, young adult participants demonstrated a greater degree of overlap between brain regions recruited by the different executive tasks than adolescent participants. Similarly, functional connectivity between frontoparietal cortical regions was less task specific in the young adult participants than in adolescent participants. CONCLUSIONS Together, these results demonstrate that the similarity between different executive processes in terms of both neural recruitment and functional connectivity increases with age from middle adolescence to early adulthood, possibly contributing to age-related behavioral improvements in executive functioning. These developmental changes in brain recruitment may reflect a more homogenous morphological organization between process-specific neural networks, increased reliance on a more domain-general network involved in executive processing, or developmental changes in cognitive strategy.
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Affiliation(s)
- Mona Moisala
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,AMI Centre, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland
| | - Viljami Salmela
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,AMI Centre, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland
| | - Synnove Carlson
- Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.,Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Katariina Salmela-Aro
- Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland.,Institute of Education, University College London, London, UK
| | - Kirsti Lonka
- Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland.,Optentia Research Focus Area, North-West University, Vanderbijlpark, South Africa
| | - Kai Hakkarainen
- Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
| | - Kimmo Alho
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.,AMI Centre, Aalto NeuroImaging, Aalto University School of Science, Espoo, Finland
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40
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Yuan K, Yu D, Zhao M, Li M, Wang R, Li Y, Manza P, Shokri-Kojori E, Wiers CE, Wang GJ, Tian J. Abnormal frontostriatal tracts in young male tobacco smokers. Neuroimage 2018; 183:346-355. [PMID: 30130644 DOI: 10.1016/j.neuroimage.2018.08.046] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 08/16/2018] [Accepted: 08/17/2018] [Indexed: 12/21/2022] Open
Abstract
Dysfunctions in frontostriatal circuits have been associated with craving and cognitive control in smokers. However, the relevance of white matter (WM) diffusion properties of the ventral and dorsal frontostriatal tracts for behaviors associated with smoking remains relatively unknown, especially in young adulthood, a critical time period for the development and maintenance of addiction. Here, diffusion tensor imaging (DTI) and probabilistic tractography were used to investigate the WM tracts of the ventral and dorsal frontostriatal circuits in two independent studies (Study1: 36 male smokers (21.3 ± 1.3 years) vs. 35 male nonsmokers (21.2 ± 1.3 years); Study2: 29 male smokers (21.4 ± 1.1 years) vs. 25 male nonsmokers (21.0 ± 1.4 years)). Subjective craving was measured by the Questionnaire on Smoking Urges (QSU) and cognitive control ability was assessed with the Stroop task. In both studies, smokers committed more response errors than nonsmokers during the incongruent condition of the Stroop task. Relative to controls, smokers showed lower fractional anisotropy (FA) and higher radial diffusivity in left medial orbitofrontal cortex-to-nucleus accumbens fiber tracts (ventral frontostriatal path) and also lower FA in right dorsolateral prefrontal cortex-to-caudate fiber tracts (dorsal frontostriatal path). The FA values of the right dorsal fibers were negatively correlated with incongruent response Stroop errors in smokers, whereas the mean diffusivity values of the left ventral fibers were positively correlated with craving in smokers. Thus, WM diffusion properties of the dorsal and ventral frontostriatal tracts were associated with cognitive control and craving, respectively, in young male tobacco smokers. These data highlight the importance of studying WM in relation to neuropsychological changes underlying smoking.
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Affiliation(s)
- Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, PR China; Laboratory of Neuroimaging, National Institute on Alcoholism and Alcohol Abuse, Bethesda, MD, 20892, USA; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, PR China; Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, PR China; Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, Guangxi, 541004, PR China.
| | - Dahua Yu
- Information Processing Laboratory, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, PR China
| | - Meng Zhao
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, PR China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, PR China
| | - Min Li
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, PR China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, PR China
| | - Ruonan Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, PR China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, PR China
| | - Yangding Li
- Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, Guangxi, 541004, PR China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcoholism and Alcohol Abuse, Bethesda, MD, 20892, USA
| | - Ehsan Shokri-Kojori
- Laboratory of Neuroimaging, National Institute on Alcoholism and Alcohol Abuse, Bethesda, MD, 20892, USA
| | - Corinde E Wiers
- Laboratory of Neuroimaging, National Institute on Alcoholism and Alcohol Abuse, Bethesda, MD, 20892, USA
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcoholism and Alcohol Abuse, Bethesda, MD, 20892, USA
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, PR China; Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, Shaanxi, 710071, PR China; Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, PR China.
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41
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Adolescent Development of Value-Guided Goal Pursuit. Trends Cogn Sci 2018; 22:725-736. [PMID: 29880333 DOI: 10.1016/j.tics.2018.05.003] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Revised: 05/12/2018] [Accepted: 05/16/2018] [Indexed: 12/21/2022]
Abstract
Adolescents are challenged to orchestrate goal-directed actions in increasingly independent and consequential ways. In doing so, it is advantageous to use information about value to select which goals to pursue and how much effort to devote to them. Here, we examine age-related changes in how individuals use value signals to orchestrate goal-directed behavior. Drawing on emerging literature on value-guided cognitive control and reinforcement learning, we demonstrate how value and task difficulty modulate the execution of goal-directed action in complex ways across development from childhood to adulthood. We propose that the scope of value-guided goal pursuit expands with age to include increasingly challenging cognitive demands, and scaffolds on the emergence of functional integration within brain networks supporting valuation, cognition, and action.
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Schmitt LM, White SP, Cook EH, Sweeney JA, Mosconi MW. Cognitive mechanisms of inhibitory control deficits in autism spectrum disorder. J Child Psychol Psychiatry 2018; 59:586-595. [PMID: 29052841 PMCID: PMC5906199 DOI: 10.1111/jcpp.12837] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/20/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Inhibitory control deficits are common in autism spectrum disorder (ASD) and associated with more severe repetitive behaviors. Inhibitory control deficits may reflect slower execution of stopping processes, or a reduced ability to delay the onset of behavioral responses in contexts of uncertainty. Previous studies have documented relatively spared stopping processes in ASD, but whether inhibitory control deficits in ASD reflect failures to delay response onset has not been systematically assessed. Further, while improvements in stopping abilities and response slowing are seen through adolescence/early adulthood in health, their development in ASD is less clear. METHODS A stop-signal test (SST) was administered to 121 individuals with ASD and 76 age and IQ-matched healthy controls (ages 5-28). This test included 'GO trials' in which participants pressed a button when a peripheral target appeared and interleaved 'STOP trials' in which they were cued to inhibit button-presses when a stop-signal appeared at variable times following the GO cue. STOP trial accuracy, RT of the stopping process (SSRT), and reaction time (RT) slowing during GO trials were examined. RESULTS Relative to controls, individuals with ASD had reduced accuracy on STOP trials. SSRTs were similar across control and ASD participants, but RT slowing was reduced in patients compared to controls. Age-related increases in stopping ability and RT slowing were attenuated in ASD. Reduced stopping accuracy and RT slowing were associated with more severe repetitive behaviors in ASD. DISCUSSION Our findings show that inhibitory control deficits in ASD involve failures to strategically delay behavioral response onset. These results suggest that reduced preparatory behavioral control may underpin inhibitory control deficits as well as repetitive behaviors in ASD. Typical age-related improvements in inhibitory control during late childhood/early adolescence are reduced in ASD, highlighting an important developmental window during which treatments may mitigate cognitive alterations contributing to repetitive behaviors.
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Affiliation(s)
- Lauren M. Schmitt
- Schiefelbusch Institute for Life Span Studies and Clinical Child Psychology Program, University of Kansas,Kansas Center for Autism Research and Training (KCART), University of Kansas Medical School,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati
| | - Stormi P. White
- Center for Autism and Developmental Disabilities, University of Texas Southwestern Medical Center
| | - Edwin H. Cook
- Institute for Juvenile Research, University of Illinois at Chicago
| | - John A. Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati
| | - Matthew W. Mosconi
- Schiefelbusch Institute for Life Span Studies and Clinical Child Psychology Program, University of Kansas,Kansas Center for Autism Research and Training (KCART), University of Kansas Medical School
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Pan Y, Wang L, Zhang Y, Zhang C, Qiu X, Tan Y, Zhou H, Sun B, Li D. Deep Brain Stimulation of the Internal Globus Pallidus Improves Response Initiation and Proactive Inhibition in Patients With Parkinson's Disease. Front Psychol 2018; 9:351. [PMID: 29681869 PMCID: PMC5897903 DOI: 10.3389/fpsyg.2018.00351] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 03/02/2018] [Indexed: 01/10/2023] Open
Abstract
Background: Impulse control disorder is not uncommon in patients with Parkinson’s disease (PD) who are treated with dopamine replacement therapy and subthalamic deep brain stimulation (DBS). Internal globus pallidus (GPi)-DBS is increasingly used, but its role in inhibitory control has rarely been explored. In this study, we evaluated the effect of GPi-DBS on inhibitory control in PD patients. Methods: A stop-signal paradigm was used to test response initiation, proactive inhibition, and reactive inhibition. The subjects enrolled in the experiment were 27 patients with PD, of whom 13 had received only drug treatment and 14 had received bilateral GPi-DBS in addition to conventional medical treatment and 15 healthy individuals. Results: Our results revealed that with GPi-DBS on, patients with PD showed significantly faster responses than the other groups in trials where it was certain that no stop signal would be presented. Proactive inhibition was significantly different in the surgical patients with GPi-DBS on versus when GPi-DBS was off, in surgical patients with GPi-DBS on versus drug-treated patients, and in healthy controls versus drug-treated patients. Correlation analyses revealed that when GPi-DBS was on, there was a statistically significant moderate positive relationship between proactive inhibition and dopaminergic medication. Conclusion: GPi-DBS may lead to an increase in response initiation speed and improve the dysfunctional proactive inhibitory control observed in PD patients. Our results may help us to understand the role of the GPi in cortical-basal ganglia circuits.
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Affiliation(s)
- Yixin Pan
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Linbin Wang
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingying Zhang
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chencheng Zhang
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xian Qiu
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuyan Tan
- Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiyan Zhou
- Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dianyou Li
- Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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44
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Development of the emotional brain. Neurosci Lett 2017; 693:29-34. [PMID: 29197573 DOI: 10.1016/j.neulet.2017.11.055] [Citation(s) in RCA: 183] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 10/01/2017] [Accepted: 11/26/2017] [Indexed: 11/22/2022]
Abstract
In this article, we highlight the importance of dynamic reorganization of neural circuitry during adolescence, as it relates to the development of emotion reactivity and regulation. We offer a neurobiological account of hierarchical, circuit-based changes that coincide with emotional development during this time. Recent imaging studies suggest that the development of the emotional brain involves a cascade of changes in limbic and cognitive control circuitry. These changes are particularly pronounced during adolescence, when the demand for self regulation across a variety of emotional and social situations may be greatest. We propose that hierarchical changes in circuitry, from subcortico-subcortical to subcortico-cortical to cortico-subcortical and finally to cortico-cortical, may underlie the gradual changes in emotion reactivity and regulation throughout adolescence into young adulthood, with changes at each level being necessary for the instantiation of changes at the next level.
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45
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Trajectories of brain system maturation from childhood to older adulthood: Implications for lifespan cognitive functioning. Neuroimage 2017; 163:125-149. [DOI: 10.1016/j.neuroimage.2017.09.025] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 08/31/2017] [Accepted: 09/12/2017] [Indexed: 11/24/2022] Open
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46
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Feng D, Yuan K, Li Y, Cai C, Yin J, Bi Y, Cheng J, Guan Y, Shi S, Yu D, Jin C, Lu X, Qin W, Tian J. Intra-regional and inter-regional abnormalities and cognitive control deficits in young adult smokers. Brain Imaging Behav 2017; 10:506-16. [PMID: 26164168 DOI: 10.1007/s11682-015-9427-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Tobacco use during later adolescence and young adulthood may cause serious neurophysiological changes; rationally, it is extremely important to study the relationship between brain dysfunction and behavioral performances in young adult smokers. Previous resting state studies investigated the neural mechanisms in smokers. Unfortunately, few studies focused on spontaneous activity differences between young adult smokers and nonsmokers from both intra-regional and inter-regional levels, less is known about the association between resting state abnormalities and behavioral deficits. Therefore, we used fractional amplitude of low frequency fluctuation (fALFF) and resting state functional connectivity (RSFC) to investigate the resting state spontaneous activity differences between young adult smokers and nonsmokers. A correlation analysis was carried out to assess the relationship between neuroimaging findings and clinical information (pack-years, cigarette dependence, age of onset and craving score) as well as cognitive control deficits measured by the Stroop task. Consistent with previous addiction findings, our results revealed the resting state abnormalities within frontostriatal circuits, i.e., enhanced spontaneous activity of the caudate and reduced functional strength between the caudate and anterior cingulate cortex (ACC) in young adult smokers. Moreover, the fALFF values of the caudate were correlated with craving and RSFC strength between the caudate and ACC was associated with the cognitive control impairments in young adult smokers. Our findings could lead to a better understanding of intrinsic functional architecture of baseline brain activity in young smokers by providing regional and brain circuit spontaneous neuronal activity properties as well as their association with cognitive control impairments.
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Affiliation(s)
- Dan Feng
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China. .,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China.
| | - Yangding Li
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Chenxi Cai
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Junsen Yin
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Yanzhi Bi
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Jiadong Cheng
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Yanyan Guan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Sha Shi
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Dahua Yu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China.
| | - Chenwang Jin
- Department of Medical Imaging, the First Affiliated Hospital of Medical College, Xi'an Jiaotong University, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Xiaoqi Lu
- Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing, School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Wei Qin
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education, Xi'an, People's Republic of China.,Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China
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Pas P, van den Munkhof HE, du Plessis S, Vink M. Striatal activity during reactive inhibition is related to the expectation of stop-signals. Neuroscience 2017; 361:192-198. [PMID: 28844007 DOI: 10.1016/j.neuroscience.2017.08.037] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 07/15/2017] [Accepted: 08/17/2017] [Indexed: 10/19/2022]
Abstract
Successful response inhibition relies on the suppression of motor cortex activity. The striatum has previously been linked to motor cortex suppression during the act of inhibition (reactive), but activation was also seen during anticipation of stop signals (proactive). More specifically, striatal activation increased with a higher stop probability. Using functional magnetic resonance imaging with specific regions of interest, we investigate for the first time whether activation in the striatum during reactive inhibition is related to previously formed expectations. We used a modified stop-signal response task in which subjects were asked trial by trial, after being presented a stop-signal probability cue, whether they actually expected a stop to occur. This enabled us to investigate the subjective expectation of a stop signal during each trial. We found that striatal activity during reactive inhibition was higher when subjects expected stop signals. These results help explain conflicting findings of previous studies on the association between striatal activation and inhibition, since we demonstrate a crucial role of the subjects' expectation of a stop signal and thus their ability to prepare for a stop in advance. In conclusion, the current results show for the first time that striatal contributions to reactive response inhibition are, in part, related to subjective anticipation.
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Affiliation(s)
- Pascal Pas
- Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands.
| | | | | | - Matthijs Vink
- Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
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48
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Brevers D, He Q, Keller B, Noël X, Bechara A. Neural correlates of proactive and reactive motor response inhibition of gambling stimuli in frequent gamblers. Sci Rep 2017; 7:7394. [PMID: 28785029 PMCID: PMC5547049 DOI: 10.1038/s41598-017-07786-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 06/30/2017] [Indexed: 12/12/2022] Open
Abstract
We used functional magnetic resonance imaging to examine whether motivational-salient cues could exert a differential impact on proactive (the restrain of actions in preparation for stopping) and reactive (outright stopping) inhibition. Fourteen high-frequency poker players, and 14 matched non-gambler controls, performed a modified version of the stop-signal paradigm, which required participants to inhibit categorization of poker or neutral pictures. The probability that a stop-signal occurs (0%, 17%, 25%, 33%) was manipulated across blocks of trials, as indicated by the color of the computer screen. Behavioral analyses revealed that poker players were faster than controls in categorizing pictures across all levels of proactive motor response inhibition (go trials). Brain imaging analyses highlighted higher dorsal anterior cingulate cortex activation in poker players, as compared to controls, during reactive inhibition. These findings suggest that, due to their faster rates of stimulus discrimination, poker players might have recruited more cognitive resources than controls when required to stop their response (reactive inhibition). Nevertheless, no main effect of stimulus type was found, on either proactive or reactive inhibition. Additional studies are, therefore, needed in order to confirm that investigating the dynamics between reactive and proactive inhibition offers a discriminative analysis of inhibitory control toward motivational-salient cues.
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Affiliation(s)
- D Brevers
- Department of Psychology, and Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA. .,Psychological Medicine laboratory, Faculty of Medicine, Brugmann-campus, Université Libre de Bruxelles, Brussels, Belgium.
| | - Q He
- Faculty of Psychology, Southwest University, 2 Tiansheng Rd, Chongqing, China
| | - B Keller
- Department of Psychology, and Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA
| | - X Noël
- Psychological Medicine laboratory, Faculty of Medicine, Brugmann-campus, Université Libre de Bruxelles, Brussels, Belgium
| | - A Bechara
- Department of Psychology, and Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA
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49
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Contextual and Developmental Differences in the Neural Architecture of Cognitive Control. J Neurosci 2017; 37:7711-7726. [PMID: 28716967 DOI: 10.1523/jneurosci.0667-17.2017] [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: 03/10/2017] [Revised: 06/05/2017] [Accepted: 06/29/2017] [Indexed: 12/15/2022] Open
Abstract
Because both development and context impact functional brain architecture, the neural connectivity signature of a cognitive or affective predisposition may similarly vary across different ages and circumstances. To test this hypothesis, we investigated the effects of age and cognitive versus social-affective context on the stable and time-varying neural architecture of inhibition, the putative core cognitive control component, in a subsample (N = 359, 22-36 years, 174 men) of the Human Connectome Project. Among younger individuals, a neural signature of superior inhibition emerged in both stable and dynamic connectivity analyses. Dynamically, a context-free signature emerged as stronger segregation of internal cognition (default mode) and environmentally driven control (salience, cingulo-opercular) systems. A dynamic social-affective context-specific signature was observed most clearly in the visual system. Stable connectivity analyses revealed both context-free (greater default mode segregation) and context-specific (greater frontoparietal segregation for higher cognitive load; greater attentional and environmentally driven control system segregation for greater reward value) signatures of inhibition. Superior inhibition in more mature adulthood was typified by reduced segregation in the default network with increasing reward value and increased ventral attention but reduced cingulo-opercular and subcortical system segregation with increasing cognitive load. Failure to evidence this neural profile after the age of 30 predicted poorer life functioning. Our results suggest that distinguishable neural mechanisms underlie individual differences in cognitive control during different young adult stages and across tasks, thereby underscoring the importance of better understanding the interplay among dispositional, developmental, and contextual factors in shaping adaptive versus maladaptive patterns of thought and behavior.SIGNIFICANCE STATEMENT The brain's functional architecture changes across different contexts and life stages. To test whether the neural signature of a trait similarly varies, we investigated cognitive versus social-affective context effects on the stable and time-varying neural architecture of inhibition during a period of neurobehavioral fine-tuning (age 22-36 years). Younger individuals with superior inhibition showed distinguishable context-free and context-specific neural profiles, evidenced in both static and dynamic connectivity analyses. More mature individuals with superior inhibition evidenced only context-specific profiles, revealed in the static connectivity patterns linked to increased reward or cognitive load. Delayed expression of this profile predicted poorer life functioning. Our results underscore the importance of understanding the interplay among dispositional, developmental, and contextual factors in shaping behavior.
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50
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Zhang R, Geng X, Lee TMC. Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis. Brain Struct Funct 2017; 222:3973-3990. [PMID: 28551777 PMCID: PMC5686258 DOI: 10.1007/s00429-017-1443-x] [Citation(s) in RCA: 202] [Impact Index Per Article: 28.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Accepted: 05/09/2017] [Indexed: 12/22/2022]
Abstract
An influential hypothesis from the last decade proposed that regions within the right inferior frontal cortex of the human brain were dedicated to supporting response inhibition. There is growing evidence, however, to support an alternative model, which proposes that neural areas associated with specific inhibitory control tasks co-exist as common network mechanisms, supporting diverse cognitive processes. This meta-analysis of 225 studies comprising 323 experiments examined the common and distinct neural correlates of cognitive processes for response inhibition, namely interference resolution, action withholding, and action cancellation. Activation coordinates for each subcategory were extracted using multilevel kernel density analysis (MKDA). The extracted activity patterns were then mapped onto the brain functional network atlas to derive the common (i.e., process-general) and distinct (i.e., domain-oriented) neural network correlates of these processes. Independent of the task types, activation of the right hemispheric regions (inferior frontal gyrus, insula, median cingulate, and paracingulate gyri) and superior parietal gyrus was common across the cognitive processes studied. Mapping the activation patterns to a brain functional network atlas revealed that the fronto-parietal and ventral attention networks were the core neural systems that were commonly engaged in different processes of response inhibition. Subtraction analyses elucidated the distinct neural substrates of interference resolution, action withholding, and action cancellation, revealing stronger activation in the ventral attention network for interference resolution than action inhibition. On the other hand, action withholding/cancellation primarily engaged the fronto-striatal circuit. Overall, our results suggest that response inhibition is a multidimensional cognitive process involving multiple neural regions and networks for coordinating optimal performance. This finding has significant implications for the understanding and assessment of response inhibition.
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Affiliation(s)
- Ruibin Zhang
- Laboratory of Neuropsychology, The University of Hong Kong, Rm 656, Jockey Club Tower, Pokfulam Road, Hong Kong, Hong Kong.,Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong, Hong Kong
| | - Xiujuan Geng
- Laboratory of Neuropsychology, The University of Hong Kong, Rm 656, Jockey Club Tower, Pokfulam Road, Hong Kong, Hong Kong.,Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong, Hong Kong.,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong
| | - Tatia M C Lee
- Laboratory of Neuropsychology, The University of Hong Kong, Rm 656, Jockey Club Tower, Pokfulam Road, Hong Kong, Hong Kong. .,Laboratory of Cognitive Affective Neuroscience, The University of Hong Kong, Hong Kong, Hong Kong. .,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, Hong Kong. .,Institute of Clinical Neuropsychology, The University of Hong Kong, Hong Kong, Hong Kong.
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