Longitudinal Network Analysis Reveals Interactive Change of Schizophrenia Symptoms During Acute Antipsychotic Treatment

Author:

Sun Yaoyao12,Zhang Yuyanan12,Lu Zhe12,Yan Hao12ORCID,Guo Liangkun12,Liao Yundan12,Lu Tianlan12,Wang Lifang12,Li Jun12,Li Wenqiang3,Yang Yongfeng3,Yu Hao4ORCID,Lv Luxian3,Zhang Dai1256,Bi Wenjian7,Yue Weihua12356

Affiliation:

1. Peking University Sixth Hospital, Peking University Institute of Mental Health , Beijing , P. R. China

2. NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) , Beijing , P. R. China

3. Henan Key Lab of Biological Psychiatry, Second Affiliated Hospital of Xinxiang Medical University , Xinxiang, Henan , P. R. China

4. Department of Psychiatry, Jining Medical University , Jining, Shandong , P. R. China

5. PKU-IDG/McGovern Institute for Brain Research, Peking University , Beijing , China

6. Chinese Institute for Brain Research , Beijing , P. R. China

7. Department of Medical Genetics, School of Basic Medical Sciences, Peking University , Beijing , P. R. China

Abstract

Abstract Background and Hypothesis Complex schizophrenia symptoms were recently conceptualized as interactive symptoms within a network system. However, it remains unknown how a schizophrenia network changed during acute antipsychotic treatment. The present study aimed to evaluate the interactive change of schizophrenia symptoms under seven antipsychotics from individual time series. Study Design Data on 3030 schizophrenia patients were taken from a multicenter randomized clinical trial and used to estimate the partial correlation cross-sectional networks and longitudinal random slope networks based on multivariate multilevel model. Thirty symptoms assessed by The Positive and Negative Syndrome Scale clustered the networks. Study Results Five stable communities were detected in cross-sectional networks and random slope networks that describe symptoms change over time. Delusions, emotional withdrawal, and lack of spontaneity and flow of conversation featured as central symptoms, and conceptual disorganization, hostility, uncooperativeness, and difficulty in abstract thinking featured as bridge symptoms, all showing high centrality in the random slope network. Acute antipsychotic treatment changed the network structure (M-test = 0.116, P < .001) compared to baseline, and responsive subjects showed lower global strength after treatment (11.68 vs 14.18, S-test = 2.503, P < .001) compared to resistant subjects. Central symptoms and bridge symptoms kept higher centrality across random slope networks of different antipsychotics. Quetiapine treatment network showed improvement in excitement symptoms, the one featured as both central and bridge symptom. Conclusion Our findings revealed the central symptoms, bridge symptoms, cochanging features, and individualized features under different antipsychotics of schizophrenia. This brings implications for future targeted drug development and search for pathophysiological mechanisms.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Collaborative Research Fund of Chinese Institute for Brain Research Beijing

CAMS Innovation Fund for Medical Sciences

PKUHSC-KCL Joint Medical Research

Major Science and Technology Projects of Henan Province

Publisher

Oxford University Press (OUP)

Subject

Psychiatry and Mental health

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