Chan Shi Yu, Nickerson Lisa D, Pathak Roma, Öngür Dost, Hall Mei-Hua
Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA, USA.
Schizophrenia and Bipolar Disorders Program, McLean Hospital, Belmont, MA, USA.
Schizophr Bull Open. 2022 Jan 27;3(1):sgac014. doi: 10.1093/schizbullopen/sgac014. eCollection 2022 Jan.
The Triple Network Model of psychopathology identifies the salience network (SN), central executive network (CEN), and default mode network (DMN) as key networks underlying the pathophysiology of psychiatric disorders. In particular, abnormal SN-initiated network switching impacts the engagement and disengagement of the CEN and DMN, and is proposed to lead to the generation of psychosis symptoms. Between-network connectivity has been shown to be abnormal in both substance use disorders (SUD) and psychosis. However, none have studied how SUD affects connectivity between sub-networks of the DMN, SN, and CEN in early stage psychosis (ESP) patients. In this study, we collected data from 113 ESP patients and 50 healthy controls to investigate the effect of SUD on between-network connectivity. In addition, we performed sub-group analysis by exploring whether past SUD vs current SUD co-morbidity, or diagnosis (affective vs non-affective psychosis) had a modulatory effect. Connectivity between four network-pairs, consisting of sub-networks of the SN, CEN, and DMN, was significantly different between ESP patients and controls. Two patterns of connectivity were observed when patients were divided into sub-groups with current vs past SUD. In particular, connectivity between right CEN and the cingulo-opercular salience sub-network (rCEN-CON) showed a gradient effect where the severity of abnormalities increased from no history of SUD to past+ to current+. We also observed diagnosis-specific effects, suggesting non-affective psychosis patients were particularly vulnerable to effects of substance use on rCEN-CON connectivity. Our findings reveal insights into how comorbid SUD affects between-network connectivity and symptom severity in ESP.
精神病理学的三重网络模型将突显网络(SN)、中央执行网络(CEN)和默认模式网络(DMN)确定为精神疾病病理生理学的关键网络。特别是,由SN启动的异常网络切换会影响CEN和DMN的参与和脱离,并被认为会导致精神病症状的产生。物质使用障碍(SUD)和精神病患者的网络间连接性均已显示异常。然而,尚无研究探讨SUD如何影响早期精神病(ESP)患者的DMN、SN和CEN子网之间的连接性。在本研究中,我们收集了113名ESP患者和50名健康对照的数据,以调查SUD对网络间连接性的影响。此外,我们通过探究既往SUD与当前SUD共病情况或诊断(情感性精神病与非情感性精神病)是否具有调节作用进行了亚组分析。ESP患者和对照组之间,由SN、CEN和DMN子网组成的四对网络之间的连接性存在显著差异。当根据当前与既往SUD将患者分为亚组时,观察到两种连接模式。特别是,右侧CEN与扣带回-脑岛突显子网(rCEN-CON)之间的连接性呈现梯度效应,即异常严重程度从无SUD病史到既往有SUD再到当前有SUD逐渐增加。我们还观察到了诊断特异性效应,表明非情感性精神病患者尤其容易受到物质使用对rCEN-CON连接性的影响。我们的研究结果揭示了共病SUD如何影响ESP患者的网络间连接性和症状严重程度。