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Tang X, Ma Z, SiuChing K, Xu L, Liu Q, Yang L, Wang Y, Cao Q, Li X, Liu J. Altered Intrinsic Brain Spontaneous Activities in Children With Autism Spectrum Disorder Comorbid ADHD. J Atten Disord 2024; 28:834-846. [PMID: 38379197 DOI: 10.1177/10870547241233207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
OBJECTIVE The study involved 17 children with Autism Spectrum Disorder (ASD), 21 with ADHD, 30 with both (ASD + ADHD), and 28 typically developing children (TD). METHODS The amplitude of low-frequency fluctuations (ALFF) was measured as a regional brain function index. Intrinsic functional connectivity (iFC) was also analyzed using the region of interest (ROI) identified in ALFF analysis. Statistical analysis was done via one-way ANCOVA, Gaussian random field (GRF) theory, and post-hoc pair-wise comparisons. RESULTS The ASD + ADHD group showed increased ALFF in the left middle frontal gyrus (MFG.L) compared to the TD group. In terms of global brain function, the ASD group displayed underconnectivity in specific regions compared to the ASD + ADHD and TD groups. CONCLUSION The findings contribute to understanding the neural mechanisms underlying ASD + ADHD.
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Affiliation(s)
- Xinzhou Tang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- China National Children's Health Center (Beijing), China
| | - Zenghui Ma
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Kat SiuChing
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Lingzi Xu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qinyi Liu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Li Yang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yufeng Wang
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qingjiu Cao
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xue Li
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jing Liu
- National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
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Bayat M, Hernandez M, Curzon M, Garic D, Graziano P, Dick AS. Reduced recruitment of inhibitory control regions in very young children with ADHD during a modified Kiddie Continuous Performance Task: a fMRI study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.17.576033. [PMID: 38293209 PMCID: PMC10827162 DOI: 10.1101/2024.01.17.576033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Attention-Deficit/Hyperactivity Disorder (ADHD) symptom profiles are known to undergo changes throughout development, rendering the neurobiological assessment of ADHD challenging across different developmental stages. Particularly in young children (ages 4 to 7 years), measuring inhibitory control network activity in the brain has been a formidable task due to the lack of child-friendly functional Magnetic Resonance Imaging (fMRI) paradigms. This study aims to address these difficulties by focusing on measuring inhibitory control in very young children within the MRI environment. A total of 56 children diagnosed with ADHD and 78 typically developing (TD) 4-7-year-old children were examined using a modified version of the Kiddie-Continuous Performance Test (K-CPT) during BOLD fMRI to assess inhibitory control. We concurrently evaluated their performance on the established and standardized K-CPT outside the MRI scanner. Our findings suggest that the modified K-CPT effectively elicited robust and expected brain activity related to inhibitory control in both groups. Comparisons between the two groups revealed subtle differences in brain activity, primarily observed in regions associated with inhibitory control, such as the inferior frontal gyrus, anterior insula, dorsal striatum, medial pre-supplementary motor area (pre-SMA), and cingulate cortex. Notably, increased activity in the right anterior insula was associated with improved response time (RT) and reduced RT variability on the K-CPT administered outside the MRI environment, although this did not survive statistical correction for multiple comparisons. In conclusion, our study successfully overcame the challenges of measuring inhibitory control in very young children within the MRI environment by utilizing a modified K-CPT during BOLD fMRI. These findings shed light on the neurobiological correlates of inhibitory control in ADHD and TD children, provide valuable insights for understanding ADHD across development, and potentially inform ADHD diagnosis and intervention strategies. The research also highlights remaining challenges with task fMRI in very young clinical samples.
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Orhan I, Corr PJ, Krupić D. ADHD and the avoidance of mental effort: the role of response inhibition and avoidance motivation. J Clin Exp Neuropsychol 2023; 45:537-552. [PMID: 38054660 DOI: 10.1080/13803395.2023.2284974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 11/12/2023] [Indexed: 12/07/2023]
Abstract
OBJECTIVE The tendency of people with ADHD to avoid tasks that require mental effort impacts their academic achievement. Findings in the literature suggest that children with ADHD find cognitive tasks more effortful and uncomfortable than their typically developing peers. However, neuropsychological processes contributing to this remain unclear. The present study investigated whether the relationship between prepotent motor response inhibition and avoiding mental effort is mediated by the ability to resist avoidance motivation and whether this proposed mediation mechanism is contingent on ADHD diagnosis. METHOD 40 children with ADHD and 40 gender and age-matched typically developing peers participated in the study. They completed the Cognitive Effort Avoidance Measure, the Go/No-go Task, and the Reinforcement Sensitivity Theory-Personality Questionnaire-Children. Mediation and moderated mediation analyses were employed to test the hypotheses. RESULTS Children with ADHD scored lower in response inhibition and resisting avoidance motivation. Poorer scores in these variables were associated with a higher avoidance rate. Moreover, the ability to resist avoidance motivation completely mediated the relationship between response inhibition and avoidance rate only among children with ADHD. CONCLUSION Findings imply that poorer response inhibition led to an increase in avoidance motivation among children with ADHD, which becomes challenging to regulate effectively due to an impairment in the ability to resist avoidance motivation. Theoretical and clinical implications are discussed.
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Affiliation(s)
- Ibrahim Orhan
- Department of Psychology, University of Gloucestershire, Cheltenham, UK
| | - Philip J Corr
- Department of Psychology, University of London, London, UK
| | - Dino Krupić
- Department of Psychology, University of J.J. Strossmayer in Osijek, Osijek, Croatia
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Deng H, Huang Z, Li Z, Cao L, He Y, Sun N, Zeng Y, Wu J. Systematic bibliometric and visualized analysis of research hotspots and trends in attention-deficit hyperactivity disorder neuroimaging. Front Neurosci 2023; 17:1098526. [PMID: 37056309 PMCID: PMC10086162 DOI: 10.3389/fnins.2023.1098526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 02/17/2023] [Indexed: 03/30/2023] Open
Abstract
IntroductionThis study focused on the research hotspots and development trends of the neuroimaging of attention deficit hyperactivity disorder (ADHD) in the past thirty years.MethodsThe Web of Science database was searched for articles about ADHD neuroimaging from January 1992 to September 2022. CiteSpace was used to analyze the co-occurrence of keywords in literature, partnerships between authors, institutions, and countries, the sudden occurrence of keywords, clustering of keywords over time, and analysis of references, cited authors, and cited journals.Results2,621 articles were included. More and more articles have been published every year in the last years. These articles mainly come from 435 institutions and 65 countries/regions led by the United States. King's College London had the highest number of publications. The study identified 634 authors, among which Buitelaar, J. K. published the largest number of articles and Castellanos, F. X. was co-cited most often. The most productive and cited journal was Biological psychiatry. In recent years, burst keywords were resting-state fMRI, machine learning, functional connectivity, and networks. And a timeline chart of the cluster of keywords showed that “children” had the longest time span.ConclusionsIncreased attention has been paid to ADHD neuroimaging. This work might assist researchers to identify new insight on potential collaborators and cooperative institutions, hot topics, and research directions.
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Affiliation(s)
- Haiyin Deng
- Department of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Zhenming Huang
- Department of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Zhaoying Li
- Department of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Lei Cao
- Department of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Youze He
- Department of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Ning Sun
- Rehabilitation Medicine Center and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Zeng
- Department of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Jingsong Wu
- Department of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, China
- *Correspondence: Jingsong Wu
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Global Functional Connectivity at Rest Is Associated with Attention: An Arterial Spin Labeling Study. Brain Sci 2023; 13:brainsci13020228. [PMID: 36831771 PMCID: PMC9954008 DOI: 10.3390/brainsci13020228] [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: 01/07/2023] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
Neural markers of attention, including those frequently linked to the event-related potential P3 (P300) or P3b component, vary widely within and across participants. Understanding the neural mechanisms of attention that contribute to the P3 is crucial for better understanding attention-related brain disorders. All ten participants were scanned twice with a resting-state PCASL perfusion MRI and an ERP with a visual oddball task to measure brain resting-state functional connectivity (rsFC) and P3 parameters (P3 amplitudes and P3 latencies). Global rsFC (average rsFC across the entire brain) was associated with both P3 amplitudes (r = 0.57, p = 0.011) and P3 onset latencies (r = -0.56, p = 0.012). The observed P3 parameters were correlated with predicted P3 amplitude from the global rsFC (amplitude: r = +0.48, p = 0.037; latency: r = +0.40, p = 0.088) but not correlated with the rsFC over the most significant individual edge. P3 onset latency was primarily related to long-range connections between the prefrontal and parietal/limbic regions, while P3 amplitudes were related to connections between prefrontal and parietal/occipital, between sensorimotor and subcortical, and between limbic/subcortical and parietal/occipital regions. These results demonstrated the power of resting-state PCASL and P3 correlation with brain global functional connectivity.
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Lee KS, Xiao J, Luo J, Leibenluft E, Liew Z, Tseng WL. Characterizing the Neural Correlates of Response Inhibition and Error Processing in Children With Symptoms of Irritability and/or Attention-Deficit/Hyperactivity Disorder in the ABCD Study®. Front Psychiatry 2022; 13:803891. [PMID: 35308882 PMCID: PMC8931695 DOI: 10.3389/fpsyt.2022.803891] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 01/28/2022] [Indexed: 11/13/2022] Open
Abstract
Attention-deficit/hyperactivity disorder (ADHD), characterized by symptoms of inattention and/or hyperactivity and impulsivity, is a neurodevelopmental disorder associated with executive dysfunctions, including response inhibition and error processing. Research has documented a common co-occurrence between ADHD and pediatric irritability. The latter is more characterized by affective symptoms, specifically frequent temper outbursts and low frustration tolerance relative to typically developing peers. Shared and non-shared neural correlates of youths with varied profiles of ADHD and irritability symptoms during childhood remain largely unknown. This study first classified a large sample of youths in the Adolescent Brain Cognitive Development (ABCD) study at baseline into distinct phenotypic groups based on ADHD and irritability symptoms (N = 11,748), and then examined shared and non-shared neural correlates of response inhibition and error processing during the Stop Signal Task in a subset of sample with quality neuroimaging data (N = 5,948). Latent class analysis (LCA) revealed four phenotypic groups, i.e., high ADHD with co-occurring irritability symptoms (n = 787, 6.7%), moderate ADHD with low irritability symptoms (n = 901, 7.7%), high irritability with no ADHD symptoms (n = 279, 2.4%), and typically developing peers with low ADHD and low irritability symptoms (n = 9,781, 83.3%). Latent variable modeling revealed group differences in the neural coactivation network supporting response inhibition in the fronto-parietal regions, but limited differences in error processing across frontal and posterior regions. These neural differences were marked by decreased coactivation in the irritability only group relative to youths with ADHD and co-occurring irritability symptoms and typically developing peers during response inhibition. Together, this study provided initial evidence for differential neural mechanisms of response inhibition associated with ADHD, irritability, and their co-occurrence. Precision medicine attending to individual differences in ADHD and irritability symptoms and the underlying mechanisms are warranted when treating affected children and families.
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Affiliation(s)
- Ka Shu Lee
- Department of Experimental Psychology, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, United States
| | - Jingyuan Xiao
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States
- Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, CT, United States
| | - Jiajun Luo
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States
- Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, CT, United States
- Institute for Population and Precision Health, The University of Chicago, Chicago, IL, United States
| | - Ellen Leibenluft
- Section on Mood Dysregulation and Neuroscience, Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States
| | - Zeyan Liew
- Yale Center for Perinatal, Pediatric and Environmental Epidemiology, Yale School of Public Health, New Haven, CT, United States
| | - Wan-Ling Tseng
- Yale Child Study Center, Yale School of Medicine, New Haven, CT, United States
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Chiu K, Lewis FC, Ashton R, Cornish KM, Johnson KA. Higher Tablet Use Is Associated With Better Sustained Attention Performance but Poorer Sleep Quality in School-Aged Children. Front Psychol 2022; 12:742468. [PMID: 35046864 PMCID: PMC8761987 DOI: 10.3389/fpsyg.2021.742468] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 11/25/2021] [Indexed: 11/13/2022] Open
Abstract
There are growing concerns that increased screen device usage may have a detrimental impact on classroom behaviour and attentional focus. The consequences of screen use on child cognitive functioning have been relatively under-studied, and results remain largely inconsistent. Screen usage may displace the time usually spent asleep. The aim of this study was to examine associations between screen use, behavioural inattention and sustained attention control, and the potential modifying role of sleep. The relations between screen use, behavioural inattention, sustained attention and sleep were investigated in 162 6- to 8-year-old children, using parent-reported daily screen use, the SWAN ADHD behaviour rating scale, The sustained attention to response task and the children’s sleep habits questionnaire. Tablet use was associated with better sustained attention performance but was not associated with classroom behavioural inattention. Shorter sleep duration was associated with poorer behavioural inattention and sustained attention. Sleep quality and duration did not act as mediators between screen usage and behavioural inattention nor sustained attention control. These findings suggest that careful management of the amount of time spent on electronic screen devices could have a beneficial cognitive impact on young children. The results also highlight the critical role of sleep in enhancing both behavioural attention and sustained attention, which are essential for supporting cognitive development and learning.
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Affiliation(s)
- Karen Chiu
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia.,Monash School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Frances C Lewis
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia.,Monash School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Reeva Ashton
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Kim M Cornish
- Monash School of Psychological Sciences, Monash University, Clayton, VIC, Australia.,Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Katherine A Johnson
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
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McNorgan C, Judson C, Handzlik D, Holden JG. Linking ADHD and Behavioral Assessment Through Identification of Shared Diagnostic Task-Based Functional Connections. Front Physiol 2020; 11:583005. [PMID: 33391011 PMCID: PMC7773605 DOI: 10.3389/fphys.2020.583005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 11/16/2020] [Indexed: 12/12/2022] Open
Abstract
A mixed literature implicates atypical connectivity involving attentional, reward and task inhibition networks in ADHD. The neural mechanisms underlying the utility of behavioral tasks in ADHD diagnosis are likewise underexplored. We hypothesized that a machine-learning classifier may use task-based functional connectivity to compute a joint probability function that identifies connectivity signatures that accurately predict ADHD diagnosis and performance on a clinically-relevant behavioral task, providing an explicit neural mechanism linking behavioral phenotype to diagnosis. We analyzed archival MRI and behavioral data of 80 participants (64 male) who had completed the go/no-go task from the longitudinal follow-up of the Multimodal Treatment Study of ADHD (MTA 168) (mean age = 24 years). Cross-mutual information within a functionally-defined mask measured functional connectivity for each task run. Multilayer feedforward classifier models identified the subset of functional connections that predicted clinical diagnosis (ADHD vs. Control) and split-half performance on the Iowa Gambling Task (IGT). A sample of random models trained on functional connectivity profiles predicted validation set clinical diagnosis and IGT performance with 0.91 accuracy and d' > 2.9, indicating very high sensitivity and specificity. We identified the most diagnostic functional connections between visual and ventral attentional networks and the anterior default mode network. Our results show that task-based functional connectivity is a biomarker of ADHD. Our analytic framework provides a template approach that explicitly ties behavioral assessment measures to both clinical diagnosis, and functional connectivity. This may differentiate otherwise similar diagnoses, and promote more efficacious intervention strategies.
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Affiliation(s)
- Chris McNorgan
- Department of Psychology, University at Buffalo – SUNY, Buffalo, NY, United States
| | - Cary Judson
- Department of Psychology, University at Buffalo – SUNY, Buffalo, NY, United States
| | - Dakota Handzlik
- Department of Computer Science, University at Buffalo – SUNY, Buffalo, NY, United States
| | - John G. Holden
- Department of Psychology, University of Cincinnati, Cincinnati, OH, United States
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Morandini HA, Silk TJ, Griffiths K, Rao P, Hood SD, Zepf FD. Meta-analysis of the neural correlates of vigilant attention in children and adolescents. Cortex 2020; 132:374-385. [DOI: 10.1016/j.cortex.2020.08.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 07/10/2020] [Accepted: 08/18/2020] [Indexed: 01/02/2023]
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Nugiel T, Roe MA, Engelhardt LE, Mitchell ME, Zheng A, Church JA. Pediatric ADHD symptom burden relates to distinct neural activity across executive function domains. Neuroimage Clin 2020; 28:102394. [PMID: 32971467 PMCID: PMC7511724 DOI: 10.1016/j.nicl.2020.102394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 08/19/2020] [Indexed: 11/27/2022]
Abstract
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent childhood disorder marked by inattention and/or hyperactivity symptoms. ADHD may also relate to impaired executive function (EF), but is often studied in a single EF task per sample. The current study addresses the question of unique vs. overlapping relations in brain activity across multiple EF tasks and ADHD symptom burden. Three in-scanner tasks drawn from distinct EF domains (cognitive flexibility, working memory, and inhibition) were collected from children with and without an ADHD diagnosis (N = 63). Whole-brain activity and 11 regions of interest were correlated with parent reports of inattention and hyperactivity symptoms. Across the three EF domains, brain activity related to ADHD symptom burden, but the direction and location of these associations differed across tasks. Overall, activity in sensory and default mode network regions related to ADHD, and these relations did not consistently overlap across EF domains. We observed both distinct and overlapping patterns for inattention and hyperactivity symptoms. By studying multiple EF tasks in the same sample, we identified a heterogenous neural profile related to attention symptom burden in children. Our results inform ADHD characterization and treatment and explain some of the variable brain results related to EF and ADHD reported in the literature.
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Affiliation(s)
- Tehila Nugiel
- Department of Psychology, The University of Texas at Austin, Austin, TX, United States.
| | - Mary Abbe Roe
- Department of Psychology, The University of Texas at Austin, Austin, TX, United States
| | - Laura E Engelhardt
- Department of Psychology, The University of Texas at Austin, Austin, TX, United States
| | - Mackenzie E Mitchell
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
| | - Annie Zheng
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States
| | - Jessica A Church
- Department of Psychology, The University of Texas at Austin, Austin, TX, United States; Biomedical Imaging Center, The University of Texas at Austin, Austin, TX, United States
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Beppi C, Violante IR, Hampshire A, Grossman N, Sandrone S. Patterns of Focal- and Large-Scale Synchronization in Cognitive Control and Inhibition: A Review. Front Hum Neurosci 2020; 14:196. [PMID: 32670035 PMCID: PMC7330107 DOI: 10.3389/fnhum.2020.00196] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 04/30/2020] [Indexed: 01/08/2023] Open
Abstract
Neural synchronization patterns are involved in several complex cognitive functions and constitute a growing trend in neuroscience research. While synchrony patterns in working memory have been extensively discussed, a complete understanding of their role in cognitive control and inhibition is still elusive. Here, we provide an up-to-date review on synchronization patterns underlying behavioral inhibition, extrapolating common grounds, and dissociating features with other inhibitory functions. Moreover, we suggest a schematic conceptual framework and highlight existing gaps in the literature, current methodological challenges, and compelling research questions for future studies.
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Affiliation(s)
- Carolina Beppi
- Neuroscience Center Zürich (ZNZ), University of Zürich (UZH) and Swiss Federal Institute of Technology in Zürich (ETH), Zurich, Switzerland
- Department of Neurology, University Hospital Zürich, University of Zürich, Zurich, Switzerland
| | - Ines R. Violante
- Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom
- School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Adam Hampshire
- Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Nir Grossman
- Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Stefano Sandrone
- Computational, Cognitive and Clinical Neuroscience Laboratory (C3NL), Department of Brain Sciences, Imperial College London, London, United Kingdom
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