CASIA OpenIR  > 脑网络组研究
Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence
Wang, Haiyan1,2,3; Fan, Lingzhong1,2,3; Song, Ming1,2; Liu, Bing1,2,3,4; Wu, Dongya1,2,3; Jiang, Rongtao1,2,3; Li, Jin1,2; Li, Ang1,2,3; Banaschewski, Tobias5; Bokde, Arun L. W.6,7; Quinlan, Erin Burke8; Desrivieres, Sylvane8; Flor, Herta9,10; Grigis, Antoine11; Garavan, Hugh12,13; Chaarani, Bader12,13; Gowland, Penny14; Heinz, Andreas15; Ittermann, Bernd16; Martinot, Jean-Luc17; Martinot, Marie-Laure Paillere18,19; Artiges, Eric17,20; Nees, Frauke5,9; Orfanos, Dimitri Papadopoulos11; Poustka, Luise21; Millenet, Sabina5; Frohner, Juliane H.22,23; Smolka, Michael N.22,23; Walter, Henrik15; Whelan, Robert24,25; Schumann, Gunter8,26,27,28; Jiang, Tianzi1,2,3,4,29,30
Source PublicationCEREBRAL CORTEX
ISSN1047-3211
2021-05-01
Volume31Issue:5Pages:2686-2700
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.

Keywordadolescence functional connectivity inhibitory control longitudinal prediction stop signal task
DOI10.1093/cercor/bhaa383
WOS KeywordRESPONSE-INHIBITION ; ANTERIOR CINGULATE ; COGNITIVE CONTROL ; BRAIN ACTIVATION ; CONTROL NETWORKS ; CHILDHOOD ; DISORDERS ; RECRUITMENT ; IMPULSIVITY ; MATURATION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFB1002502] ; National Key Research and Development Program of China[2017YFA0105203] ; Natural Science Foundation of China[91432302] ; Natural Science Foundation of China[31620103905] ; Natural Science Foundation of China[81501179] ; Science Frontier Program of the Chinese Academy of Sciences[QYZDJ-SSWSMC019] ; Beijing Brain Initiative of the BeijingMunicipal Science & Technology Commission[Z161100000216152] ; Beijing Brain Initiative of the BeijingMunicipal Science & Technology Commission[Z161100000216139] ; Beijing Brain Initiative of the BeijingMunicipal Science & Technology Commission[Z171100000117002] ; Beijing Brain Initiative of the BeijingMunicipal Science & Technology Commission[Z181100001518003] ; Beijing Brain Initiative of the BeijingMunicipal Science & Technology Commission[Z181100001518004] ; Guangdong Pearl River Talents Plan[2016ZT06S220] ; Youth Innovation Promotion Association ; Beijing Advanced Discipline Fund ; European Union[LSHM-CT-2007-037286] ; Horizon 2020[695313] ; ERANID (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways)[PR-ST0416-10004] ; BRIDGET (JPND: BRain Imaging, cognition Dementia and next generation GEnomics)[MR/N027558/1] ; Human Brain Project[785907] ; FP7 project MATRICS[603016] ; Medical Research Council Grant 'c-VEDA' (Consortium on Vulnerability to Externalizing Disorders and Addictions)[MR/N000390/1] ; National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London ; Bundesministeriumfur Bildung und Forschung (BMBF)[01GS08152] ; Bundesministeriumfur Bildung und Forschung (BMBF)[01EV0711] ; Bundesministeriumfur Bildung und Forschung (Forschungsnetz AERIAL)[01EE1406A] ; Bundesministeriumfur Bildung und Forschung (Forschungsnetz AERIAL)[01EE1406B] ; Deutsche Forschungsgemeinschaft (DFG)[SM 80/7-2] ; Deutsche Forschungsgemeinschaft (DFG)[SFB 940] ; Deutsche Forschungsgemeinschaft (DFG)[TRR 265] ; Deutsche Forschungsgemeinschaft (DFG)[NE 1383/14-1] ; Medical Research Foundation ; Medical Research Council[MR/R00465X/1] ; Medical Research Council[MR/S020306/1] ; National Institutes of Health (NIH)[5U54EB020403-05] ; National Institutes of Health (NIH)[1R56AG058854-01] ; ANR[ANR-12-SAMA-0004] ; ANR[AAPG2019-GeBra] ; Eranet Neuron[AF12-NEUR0008-01-WM2NA] ; Eranet Neuron[ANR-18NEUR00002-01-ADORe] ; Fondation de France[00081242] ; Fondation pour la Recherche Medicale[DPA20140629802] ; Mission Interministerielle de Lutte-contre-les-Drogues-etles-Conduites-Addictives (MILDECA) ; Assistance-PubliqueHopitaux-de-Paris ; INSERM (interface grant) ; Paris Sud University IDEX 2012 ; Fondation de l'Avenir[APRM-17-013] ; Federation pour la Recherche sur le Cerveau ; Science Foundation Ireland[16/ERCD/3797] ; USA (Axon, Testosterone and Mental Health during Adolescence)[RO1 MH085772-01A1] ; NIH[U54 EB020403] ; cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence ; National Institutes of Health
Funding OrganizationNational Key Research and Development Program of China ; Natural Science Foundation of China ; Science Frontier Program of the Chinese Academy of Sciences ; Beijing Brain Initiative of the BeijingMunicipal Science & Technology Commission ; Guangdong Pearl River Talents Plan ; Youth Innovation Promotion Association ; Beijing Advanced Discipline Fund ; European Union ; Horizon 2020 ; ERANID (Understanding the Interplay between Cultural, Biological and Subjective Factors in Drug Use Pathways) ; BRIDGET (JPND: BRain Imaging, cognition Dementia and next generation GEnomics) ; Human Brain Project ; FP7 project MATRICS ; Medical Research Council Grant 'c-VEDA' (Consortium on Vulnerability to Externalizing Disorders and Addictions) ; National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London ; Bundesministeriumfur Bildung und Forschung (BMBF) ; Bundesministeriumfur Bildung und Forschung (Forschungsnetz AERIAL) ; Deutsche Forschungsgemeinschaft (DFG) ; Medical Research Foundation ; Medical Research Council ; National Institutes of Health (NIH) ; ANR ; Eranet Neuron ; Fondation de France ; Fondation pour la Recherche Medicale ; Mission Interministerielle de Lutte-contre-les-Drogues-etles-Conduites-Addictives (MILDECA) ; Assistance-PubliqueHopitaux-de-Paris ; INSERM (interface grant) ; Paris Sud University IDEX 2012 ; Fondation de l'Avenir ; Federation pour la Recherche sur le Cerveau ; Science Foundation Ireland ; USA (Axon, Testosterone and Mental Health during Adolescence) ; NIH ; cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence ; National Institutes of Health
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000642298300026
PublisherOXFORD UNIV PRESS INC
Sub direction classification脑网络分析
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/44652
Collection脑网络组研究
Corresponding AuthorSchumann, Gunter; Jiang, Tianzi
Affiliation1.Chinese Acad Sci, Brainnetome Ctr, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
4.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing 100190, Peoples R China
5.Heidelberg Univ, Med Fac Mannheim, Cent Inst Mental Hlth, Dept Child & Adolescent Psychiat & Psychotherapy, D-68159 Mannheim, Germany
6.Trinity Coll Dublin, Sch Med, Discipline Psychiat, Dublin 2, Ireland
7.Trinity Coll Dublin, Trinity Coll Inst Neurosci, Dublin 2, Ireland
8.Kings Coll London, Ctr Populat Neurosci & Precis Med PONS, SGDP Ctr, Inst Psychiat Psychol & Neurosci, London SE5 8AF, England
9.Heidelberg Univ, Med Fac Mannheim, Inst Cognit & Clin Neurosci, Cent Inst Mental Hlth, D-68159 Mannheim, Germany
10.Univ Mannheim, Sch Social Sci, Dept Psychol, D-68131 Mannheim, Germany
11.Univ Paris Saclay, CEA, NeuroSpin, F-91191 Gif Sur Yvette, France
12.Univ Vermont, Dept Psychiat, Burlington, VT 05405 USA
13.Univ Vermont, Dept Psychol, Burlington, VT 05405 USA
14.Univ Nottingham, Sch Phys & Astron, Sir Peter Mansfield Imaging Ctr, Univ Pk, Nottingham NG7 2RD, England
15.Charite Univ Med Berlin, Dept Psychiat & Psychotherapy CCM, Charitepl 1, D-10117 Berlin, Germany
16.Phys Tech Bundesanstalt PTB, D-10587 Berlin, Germany
17.Univ Paris Saclay, INSERM, U1000 Neuroimaging & Psychiat, DIGITEO Labs,Univ Paris Sud, Rue Noetzlin, F-91190 Gif Sur Yvette, France
18.Univ Paris 05, Univ Paris Sud, INSERM, U1000 Neuroimaging & Psychiat, F-75013 Paris, France
19.Sorbonne Univ, Pitie Salpetriere Hosp, AP HP, Dept Child & Adolescent Psychiat, F-75013 Paris, France
20.Orsay Hosp, Psychiat Dept 91G16, Orsay, France
21.Univ Med Ctr Gottingen, Dept Child & Adolescent Psychiat & Psychotherapy, D-37075 Gottingen, Germany
22.Tech Univ Dresden, Dept Psychiat, Chemnitzer Str 46a01187, Dresden, Germany
23.Tech Univ Dresden, Neuroimaging Ctr, Chemnitzer Str 46a01187, Dresden, Germany
24.Trinity Coll Dublin, Sch Psychol, Dublin 2, Ireland
25.Trinity Coll Dublin, Global Brain Hlth Inst, Dublin 2, Ireland
26.Humboldt Univ, Dept Psychiat & Psychotherapy, PONS Res Grp, Campus Charite Mitte, D-10117 Berlin, Germany
27.Leibniz Inst Neurobiol, D-39118 Magdeburg, Germany
28.Fudan Univ, Inst Sci & Technol Brain Inspired Intelligence IS, Shanghai 200433, Peoples R China
29.Univ Elect Sci & Technol China, Chengdu Brain Sci Inst, MOE Key Lab Neuroinformat, Clin Hosp, Chengdu 625014, Peoples R China
30.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Wang, Haiyan,Fan, Lingzhong,Song, Ming,et al. Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence[J]. CEREBRAL CORTEX,2021,31(5):2686-2700.
APA Wang, Haiyan.,Fan, Lingzhong.,Song, Ming.,Liu, Bing.,Wu, Dongya.,...&Jiang, Tianzi.(2021).Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence.CEREBRAL CORTEX,31(5),2686-2700.
MLA Wang, Haiyan,et al."Functional Connectivity Predicts Individual Development of Inhibitory Control during Adolescence".CEREBRAL CORTEX 31.5(2021):2686-2700.
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