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Treatment response prediction and individualized identification of first-episode drug-naive schizophrenia using brain functional connectivity

文献类型：期刊论文

作者Cao, Bo4,5; Cho, Raymond Y.3; Chen, Dachun2; Xiu, Meihong2; Wang, Li1; Soares, Jair C.4; Zhang, Xiang Yang1
刊名MOLECULAR PSYCHIATRY
出版日期2020-04-01
卷号25期号:4页码:906-913
关键词support vector machines SVM
ISSN号1359-4184
DOI10.1038/s41380-018-0106-5
通讯作者Zhang, Xiang Yang(zhangxy@psych.ac.cn)
英文摘要Identifying biomarkers in schizophrenia during the first episode without the confounding effects of treatment has been challenging. Leveraging these biomarkers to establish diagnosis and make individualized predictions of future treatment responses to antipsychotics would be of great value, but there has been limited progress. In this study, by using machine learning algorithms and the functional connections of the superior temporal cortex, we successfully identified the first-episode drug-naive (FEDN) schizophrenia patients (accuracy 78.6%) and predict their responses to antipsychotic treatment (accuracy 82.5%) at an individual level. The functional connections (FC) were derived using the mutual information and the correlations, between the blood-oxygen-level dependent signals of the superior temporal cortex and other cortical regions acquired with the resting-state functional magnetic resonance imaging. We also found that the mutual information and correlation FC was informative in identifying individual FEDN schizophrenia and prediction of treatment response, respectively. The methods and findings in this paper could provide a critical step toward individualized identification and treatment response prediction in first-episode drug-naive schizophrenia, which could complement other biomarkers in the development of precision medicine approaches for this severe mental disorder.
WOS关键词SUPERIOR TEMPORAL GYRUS ; ANTIPSYCHOTIC TREATMENT ; STRUCTURAL MRI ; SEGMENTATION ; PSYCHOSIS ; DISEASE ; PATTERN ; SYSTEM ; MATTER
资助项目NARSAD Young Investigator Grant of the Brain & Behavior Research Foundation ; Michael E. Debakey VA Medical Center ; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine in Houston, TX ; NIMH[R01 085667] ; Dunn Research Foundation ; Pat Rutherford, Jr. Endowed Chair in Psychiatry
WOS研究方向Biochemistry & Molecular Biology ; Neurosciences & Neurology ; Psychiatry
语种英语
WOS记录号WOS:000525957300020
出版者NATURE PUBLISHING GROUP
资助机构NARSAD Young Investigator Grant of the Brain & Behavior Research Foundation ; Michael E. Debakey VA Medical Center ; Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine in Houston, TX ; NIMH ; Dunn Research Foundation ; Pat Rutherford, Jr. Endowed Chair in Psychiatry
源URL[http://ir.psych.ac.cn/handle/311026/31556]  
专题心理研究所_健康与遗传心理学研究室
通讯作者Zhang, Xiang Yang
作者单位1.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
2.Peking Univ, Beijing HuiLongGuan Hosp, Beijing 100096, Peoples R China
3.Baylor Coll Med, Dept Psychiat & Behav Sci, Houston, TX 77030 USA
4.Univ Texas Hlth Sci Ctr Houston, McGovern Med Sch, Dept Psychiat & Behav Sci, Houston, TX 77030 USA
5.Univ Alberta, Fac Med & Dent, Dept Psychiat, Edmonton, AB, Canada
推荐引用方式
GB/T 7714		 Cao, Bo,Cho, Raymond Y.,Chen, Dachun,et al. Treatment response prediction and individualized identification of first-episode drug-naive schizophrenia using brain functional connectivity[J]. MOLECULAR PSYCHIATRY,2020,25(4):906-913.
APA Cao, Bo.,Cho, Raymond Y..,Chen, Dachun.,Xiu, Meihong.,Wang, Li.,...&Zhang, Xiang Yang.(2020).Treatment response prediction and individualized identification of first-episode drug-naive schizophrenia using brain functional connectivity.MOLECULAR PSYCHIATRY,25(4),906-913.
MLA Cao, Bo,et al."Treatment response prediction and individualized identification of first-episode drug-naive schizophrenia using brain functional connectivity".MOLECULAR PSYCHIATRY 25.4(2020):906-913.

入库方式： OAI收割

来源：心理研究所

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