Institutional Repository of Key Laboratory of Behavioral Science, CAS
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 | |
第一作者 | Liang, Sugai |
通讯作者邮箱 | litaohx@scu.edu.cn (tao li) |
心理所单位排序 | 6 |
摘要 | 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 | |
DOI | 10.1038/s41386-020-00926-y |
发表期刊 | NEUROPSYCHOPHARMACOLOGY |
ISSN | 0893-133X |
页码 | 8 |
期刊论文类型 | 实证研究 |
收录类别 | SCI |
资助项目 | National 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] |
出版者 | SPRINGERNATURE |
WOS关键词 | FUNCTIONAL CONNECTIVITY ; DEFAULT-MODE ; ANTIPSYCHOTIC TREATMENT ; SALIENCE NETWORK ; BRAIN NETWORKS ; CONVERGENCE ; DIVERGENCE ; SUBTYPES |
WOS研究方向 | Neurosciences & Neurology ; Pharmacology & Pharmacy ; Psychiatry |
WOS类目 | Neurosciences ; Pharmacology & Pharmacy ; Psychiatry |
WOS记录号 | WOS:000605545000001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/38166 |
专题 | 中国科学院行为科学重点实验室 |
通讯作者 | Li, Tao |
作者单位 | 1.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 |
推荐引用方式 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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Aberrant triple-netw(1188KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论