Dynamic neural circuit disruptions associated with antisocial behaviors,Human Brain Mapping

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Dynamic neural circuit disruptions associated with antisocial behaviors
Human Brain Mapping ( IF 3.5 ) Pub Date : 2020-10-16 , DOI: 10.1002/hbm.25225
Weixiong Jiang _{1,

2} , Han Zhang ₁ , Ling-Li Zeng ₃ , Hui Shen ₃ , Jian Qin ₃ , Kim-Han Thung ₁ , Pew-Thian Yap ₁ , Huasheng Liu ₄ , Dewen Hu ₃ , Wei Wang ₄ , Dinggang Shen _{1,

5}

Affiliation

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.

中文翻译：

与反社会行为相关的动态神经回路中断

反社会行为（ASB）被认为具有神经基础；然而，ASB 与功能性大脑网络之间的关联仍不清楚。来自静息态功能 MRI 的功能连接（或动态 FC）的时间变异性被认为是研究包括 ASB 在内的异常行为的有用指标。这是第一项利用动态 FC 的低频波动来揭示与 ASB 潜在的系统级神经相关性的研究。具体来说，我们基于机器学习将动态 FC 模式与男性罪犯（年龄：23.29 ± 3.36 岁）的 ASB 分数（通过反社会过程筛查设备测量）单独关联起来。结果表明，动态 FC 与个人 ASB 分数相关。此外，我们发现主要是网络间动态 FC 与 ASB 严重程度呈负相关。三个主要的高阶认知功能网络和感觉运动网络被发现与 ASB 更相关。我们进一步发现，ASB 受试者的行为受损主要与这些网络中 FC 动态的降低有关，这可能解释了为什么 ASB 受试者的执行控制和情绪处理功能通常受损。我们的研究表明，FC 的时间变化可能是 ASB 评估、治疗和预防的一个有前途的工具。

更新日期：2020-10-16

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