Disrupted dynamic network reconfiguration of the brain functional networks of individuals with autism spectrum disorder

被引:6
作者
Wang, Min [1 ,2 ]
Wang, Lingxiao [1 ,2 ]
Yang, Bo [1 ,2 ]
Yuan, Lixia [1 ,2 ,3 ]
Wang, Xiuqin [1 ,2 ,3 ]
Potenza, Marc N. [4 ,5 ,6 ,7 ,8 ,9 ]
Dong, Guang-Heng [1 ,2 ,3 ]
机构
[1] Hangzhou Normal Univ, Sch Clin Med, Ctr Cognit & Brain Disorders, Hangzhou 311121, Zhejiang, Peoples R China
[2] Hangzhou Normal Univ, Affiliated Hosp, Hangzhou 311121, Zhejiang, Peoples R China
[3] Zhejiang Key Lab Res Assessment Cognit Impairment, Hangzhou 310000, Zhejiang, Peoples R China
[4] Yale Univ, Sch Med, Dept Psychiat, New Haven, CT USA
[5] Yale Univ, Sch Med, Child Study Ctr, New Haven, CT USA
[6] Connecticut Mental Hlth Ctr, New Haven, CT USA
[7] Connecticut Council Problem Gambling, Wethersfield, CT USA
[8] Yale Univ, Dept Neurosci, New Haven, CT USA
[9] Yale Univ, Wu Tsai Inst, New Haven, CT USA
关键词
ASD; community structure; dynamic network; default mode network; basal ganglia network; MEDIAL FRONTAL-CORTEX; RESTING-STATE FMRI; COMMUNITY STRUCTURE; SOCIAL-BEHAVIOR; CHILDREN; CONNECTIVITY; ORGANIZATION; METAANALYSIS; ADOLESCENTS; CHILDHOOD;
D O I
10.1093/braincomms/fcac177
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Human and animal studies on brain functions in subjects with autism spectrum disorder have confirmed the aberrant organization of functional networks. However, little is known about the neural features underlying these impairments. Using community structure analyses (recruitment and integration), the current study explored the functional network features of individuals with autism spectrum disorder from one database (101 individuals with autism spectrum disorder and 120 healthy controls) and tested the replicability in an independent database (50 individuals with autism spectrum disorder and 74 healthy controls). Additionally, the study divided subjects into different age groups and tested the features in different subgroups. As for recruitment, subjects with autism spectrum disorder had lower coefficients in the default mode network and basal ganglia network than healthy controls. The integration results showed that subjects with autism spectrum disorder had a lower coefficient than healthy controls in the default mode network-medial frontal network and basal ganglia network-limbic networks. The results for the default mode network were mostly replicated in the independent database, but the results for the basal ganglia network were not. The results for different age groups were also analysed, and the replicability was tested in different databases. The lower recruitment in subjects with autism spectrum disorder suggests that they are less efficient at engaging these networks when performing relevant tasks. The lower integration results suggest impaired flexibility in cognitive functions in individuals with autism spectrum disorder. All these findings might explain why subjects with autism spectrum disorder show impaired brain networks and have important therapeutic implications for developing potentially effective interventions. Using community structure analyses, the autism spectrum disorder subjects showed lower coefficient in default mode network (DMN) and basal ganglia network. The results in DMN were also observed in different age groups and replicated in different databases.
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页数:12
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共 68 条
[1]   Evidence for default mode network dysfunction in borderline personality disorder [J].
Aguilar-Ortiz, Salvatore ;
Salgado-Pineda, Pilar ;
Vega, Daniel ;
Pascual, Juan C. ;
Marco-Pallares, Josep ;
Soler, Joaquim ;
Brunel, Cristina ;
Martin-Blanco, Ana ;
Soto, Angel ;
Ribas, Joan ;
Maristany, Teresa ;
Sarro, Salvador ;
Rodriguez-Fornells, Antoni ;
Salvador, Raymond ;
McKenna, Peter J. ;
Pomarol-Clotet, Edith .
PSYCHOLOGICAL MEDICINE, 2020, 50 (10) :1746-1754
[2]   SHANK3 controls maturation of social reward circuits in the VTA [J].
Bariselli, Sebastiano ;
Tzanoulinou, Stamatina ;
Glangetas, Christelle ;
Prevost-Solie, Clement ;
Pucci, Luca ;
Viguie, Joanna ;
Bezzi, Paola ;
O'Connor, Eoin C. ;
Georges, Francois ;
Luscher, Christian ;
Bellone, Camilla .
NATURE NEUROSCIENCE, 2016, 19 (07) :926-934
[3]   A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior [J].
Bassett, Danielle S. ;
Mattar, Marcelo G. .
TRENDS IN COGNITIVE SCIENCES, 2017, 21 (04) :250-264
[4]   Network neuroscience [J].
Bassett, Danielle S. ;
Sporns, Olaf .
NATURE NEUROSCIENCE, 2017, 20 (03) :353-364
[5]   Difference in default mode network subsystems in autism across childhood and adolescence [J].
Bathelt, Joe ;
Geurts, Hilde M. .
AUTISM, 2021, 25 (02) :556-565
[6]   Large-scale analyses of the relationship between sex, age and intelligence quotient heterogeneity and cortical morphometry in autism spectrum disorder [J].
Bedford, Saashi A. ;
Park, Min Tae M. ;
Devenyi, Gabriel A. ;
Tullo, Stephanie ;
Germann, Jurgen ;
Patel, Raihaan ;
Anagnostou, Evdokia ;
Baron-Cohen, Simon ;
Bullmore, Edward T. ;
Chura, Lindsay R. ;
Craig, Michael C. ;
Ecker, Christine ;
Floris, Dorothea L. ;
Holt, Rosemary J. ;
Lenroot, Rhoshel ;
Lerch, Jason P. ;
Lombardo, Michael, V ;
Murphy, Declan G. M. ;
Raznahan, Armin ;
Ruigrok, Amber N., V ;
Smith, Elizabeth ;
Spencer, Michael D. ;
Suckling, John ;
Taylor, Margot J. ;
Thurm, Audrey ;
Lai, Meng-Chuan ;
Chakravarty, M. Mallar .
MOLECULAR PSYCHIATRY, 2020, 25 (03) :614-628
[7]   To enforce or not to enforce? The use of collaborative interfaces to promote social skills in children with high functioning autism spectrum disorder [J].
Ben-Sasson, Ayelet ;
Lamash, Liron ;
Gal, Eynat .
AUTISM, 2013, 17 (05) :608-622
[8]   The social brain in adolescence [J].
Blakemore, Sarah-Jayne .
NATURE REVIEWS NEUROSCIENCE, 2008, 9 (04) :267-277
[9]   The brain's default network - Anatomy, function, and relevance to disease [J].
Buckner, Randy L. ;
Andrews-Hanna, Jessica R. ;
Schacter, Daniel L. .
YEAR IN COGNITIVE NEUROSCIENCE 2008, 2008, 1124 :1-38
[10]   A revised limbic system model for memory, emotion and behaviour [J].
Catani, Marco ;
Dell'Acqua, Flavio ;
Thiebaut de Schotten, Michel .
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, 2013, 37 (08) :1724-1737