CAJ | 학술논문

从静息态功能连接角度使用多变量模式，研究了反社会人格障碍(ASPD)脑网络的异常连接模式。结果表明了多变量模式分析方法成功地对ASPD患者和对照体进行了分类，并且ASPD患者最大的变化是静息态网络、注意网络、视觉认知网络和小脑这些网络之间的失连。该研究使用多模式分析方法成功地提取了反社会人格的异常信息，为反社会人格障碍这种高危人群的综合评估与识别提供了线索和方向。
종정식태공능련접각도사용다변량모식，연구료반사회인격장애(ASPD)뇌망락적이상련접모식。결과표명료다변량모식분석방법성공지대ASPD환자화대조체진행료분류，병차ASPD환자최대적변화시정식태망락、주의망락、시각인지망락화소뇌저사망락지간적실련。해연구사용다모식분석방법성공지제취료반사회인격적이상신식，위반사회인격장애저충고위인군적종합평고여식별제공료선색화방향。
Due to a very close link between antisocial personality disorder (ASPD) and criminal behavior, understanding the pathophysiology of ASPD is an international imperative. The objective of the present study is to develop a method of multivariate pattern analysis and investigate the altered functional connectivity patterns of ASPD by using rest-state functional magnetic resonance (MRI). Our results show that multivariate pattern analysis can provides accurate classification between ASPD and control subjects, and the ASPD is motivated from the uncoupling among the default mode network, the attention network, the visual recognition network, and the cerebellar network. Moreover, the method can succeed to extract altered information of ASPD and provide the first evidence for the altered brain’s functional connections in ASPD.