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Dynamic neural circuit disruptions associated with antisocial behaviors.
Jiang, Weixiong; Zhang, Han; Zeng, Ling-Li; Shen, Hui; Qin, Jian; Thung, Kim-Han; Yap, Pew-Thian; Liu, Huasheng; Hu, Dewen; Wang, Wei; Shen, Dinggang.
Afiliação
  • Jiang W; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Zhang H; Department of Information Science and Engineering, Hunan First Normal University, Changsha, Hunan, China.
  • Zeng LL; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Shen H; College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China.
  • Qin J; College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China.
  • Thung KH; College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China.
  • Yap PT; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Liu H; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
  • Hu D; Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Wang W; College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan, China.
  • Shen D; Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Hum Brain Mapp ; 42(2): 329-344, 2021 02 01.
Article em En | MEDLINE | ID: mdl-33064332
Antisocial behavior (ASB) is believed to have neural substrates; however, the association between ASB and functional brain networks remains unclear. The temporal variability of the functional connectivity (or dynamic FC) derived from resting-state functional MRI has been suggested as a useful metric for studying abnormal behaviors including ASB. This is the first study using low-frequency fluctuations of the dynamic FC to unravel potential system-level neural correlates with ASB. Specifically, we individually associated the dynamic FC patterns with the ASB scores (measured by Antisocial Process Screening Device) of the male offenders (age: 23.29 ± 3.36 years) based on machine learning. Results showed that the dynamic FCs were associated with individual ASB scores. Moreover, we found that it was mainly the inter-network dynamic FCs that were negatively associated with the ASB severity. Three major high-order cognitive functional networks and the sensorimotor network were found to be more associated with ASB. We further found that impaired behavior in the ASB subjects was mainly associated with decreased FC dynamics in these networks, which may explain why ASB subjects usually have impaired executive control and emotional processing functions. Our study shows that temporal variation of the FC could be a promising tool for ASB assessment, treatment, and prevention.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Rede Nervosa / Transtorno da Personalidade Antissocial Tipo de estudo: Risk_factors_studies Limite: Adolescent / Adult / Humans / Male Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Rede Nervosa / Transtorno da Personalidade Antissocial Tipo de estudo: Risk_factors_studies Limite: Adolescent / Adult / Humans / Male Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos