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Aberrant triple-network connectivity patterns discriminate biotypes of first-episode medication-naive schizophrenia in two large independent cohorts
Liang, Sugai1,2,3; Wang, Qiang1,2; Greenshaw, Andrew J.4; Li, Xiaojing1,2; Deng, Wei1,2,3; Ren, Hongyan1,2; Zhang, Chengcheng1,2; Yu, Hua1,2; Wei, Wei1,2; Zhang, Yamin1,2; Li, Mingli1,2; Zhao, Liansheng1,2; Du, Xiangdong5; Meng, Yajing1,2; Ma, Xiaohong1,2; Yan, Chao-Gan6,7; Li, Tao1,2,3
First AuthorLiang, Sugai
Correspondent Emaillitaohx@scu.edu.cn (tao li)
Contribution Rank6
Abstract

Schizophrenia is a complex disorder associated with aberrant brain functional connectivity. This study aims to demonstrate the relation of heterogeneous symptomatology in this disorder to distinct brain connectivity patterns within the triple-network model. The study sample comprised 300 first-episode antipsychotic-naive patients with schizophrenia (FES) and 301 healthy controls (HCs). At baseline, resting-state functional magnetic resonance imaging data were captured for each participant, and concomitant neurocognitive functions were evaluated outside the scanner. Clinical information of 49 FES in the discovery dataset were reevaluated at a 6-week follow-up. Differential features between FES and HCs were selected from triple-network connectivity profiles. Cutting-edge unsupervised machine learning algorithms were used to define patient subtypes. Clinical and cognitive variables were compared between patient subgroups. Two FES subgroups with differing triple-network connectivity profiles were identified in the discovery dataset and confirmed in an independent hold-out cohort. One patient subgroup appearing to have more severe clinical symptoms was distinguished by salience network (SN)-centered hypoconnectivity, which was associated with greater impairments in sustained attention. The other subgroup exhibited hyperconnectivity and manifested greater deficits in cognitive flexibility. The SN-centered hypoconnectivity subgroup had more persistent negative symptoms at the 6-week follow-up than the hyperconnectivity subgroup. The present study illustrates that clinically relevant cognitive subtypes of schizophrenia may be associated with distinct differences in connectivity in the triple-network model. This categorization may foster further analysis of the effects of therapy on these network connectivity patterns, which may help to guide therapeutic choices to effectively reach personalized treatment goals.

2021-01-06
DOI10.1038/s41386-020-00926-y
Source PublicationNEUROPSYCHOPHARMACOLOGY
ISSN0893-133X
Pages8
Subtype实证研究
Indexed BySCI
Funding ProjectNational Natural Science Foundation of China Key Project[81630030] ; National Natural Science Foundation of China Key Project[81920108018] ; National Key Research and Development Program of the Ministry of Science and Technology of China[2016YFC0904300] ; 1.3.5 Project for disciplines of excellence, West China Hospital of Sichuan University[ZY2016103] ; 1.3.5 Project for disciplines of excellence, West China Hospital of Sichuan University[ZY2016203] ; 1.3.5 Project for disciplines of excellence, West China Hospital of Sichuan University[ZYGD20004] ; National Natural Science Foundation of China[81801326] ; National Natural Science Foundation of China[81571320] ; Introduction Project of Suzhou Clinical Expert Team[SZYJTD201715]
PublisherSPRINGERNATURE
WOS KeywordFUNCTIONAL CONNECTIVITY ; DEFAULT-MODE ; ANTIPSYCHOTIC TREATMENT ; SALIENCE NETWORK ; BRAIN NETWORKS ; CONVERGENCE ; DIVERGENCE ; SUBTYPES
WOS Research AreaNeurosciences & Neurology ; Pharmacology & Pharmacy ; Psychiatry
WOS SubjectNeurosciences ; Pharmacology & Pharmacy ; Psychiatry
WOS IDWOS:000605545000001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/38166
Collection中国科学院行为科学重点实验室
Corresponding AuthorLi, Tao
Affiliation1.Sichuan Univ, West China Hosp, State Key Lab Biotherapy, Mental Hlth Ctr, Chengdu 610041, Sichuan, Peoples R China
2.Sichuan Univ, West China Hosp, Psychiat Lab, State Key Lab Biotherapy, Chengdu 610041, Sichuan, Peoples R China
3.Sichuan Univ, West China Hosp, West China Brain Res Ctr, Chengdu 610041, Sichuan, Peoples R China
4.Univ Alberta, Dept Psychiat, Edmonton, AB T6G 2B7, Canada
5.Soochow Univ, Affiliated Guangji Hosp, Suzhou Psychiat Hosp, Suzhou 215137, Jiangsu, Peoples R China
6.Inst Psychol, CAS Key Lab Behav Sci, Beijing 100101, Peoples R China
7.Univ Chinese Acad Sci, Dept Psychol, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liang, Sugai,Wang, Qiang,Greenshaw, Andrew J.,et al. Aberrant triple-network connectivity patterns discriminate biotypes of first-episode medication-naive schizophrenia in two large independent cohorts[J]. NEUROPSYCHOPHARMACOLOGY,2021:8.
APA Liang, Sugai.,Wang, Qiang.,Greenshaw, Andrew J..,Li, Xiaojing.,Deng, Wei.,...&Li, Tao.(2021).Aberrant triple-network connectivity patterns discriminate biotypes of first-episode medication-naive schizophrenia in two large independent cohorts.NEUROPSYCHOPHARMACOLOGY,8.
MLA Liang, Sugai,et al."Aberrant triple-network connectivity patterns discriminate biotypes of first-episode medication-naive schizophrenia in two large independent cohorts".NEUROPSYCHOPHARMACOLOGY (2021):8.
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