Dynamic neural circuit disruptions associated with antisocial behaviors

Weixiong Jiang, Han Zhang, Ling Li Zeng, Hui Shen, Jian Qin, Kim Han Thung, Pew Thian Yap, Huasheng Liu, Dewen Hu, Wei Wang, Dinggang Shen

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)329-344
Number of pages16
JournalHuman Brain Mapping
Issue number2
Publication statusPublished - 2021 Feb 1


  • antisocial behavior
  • brain network
  • cognitive control function
  • default mode network
  • dynamic functional connectivity
  • functional MRI
  • resting state

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology


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