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Identifying and validating subtypes within major psychiatric disorders based on frontal-posterior functional imbalance via deep learning.
Chang, Miao; Womer, Fay Y; Gong, Xiaohong; Chen, Xi; Tang, Lili; Feng, Ruiqi; Dong, Shuai; Duan, Jia; Chen, Yifan; Zhang, Ran; Wang, Yang; Ren, Sihua; Wang, Yi; Kang, Jujiao; Yin, Zhiyang; Wei, Yange; Wei, Shengnan; Jiang, Xiaowei; Xu, Ke; Cao, Bo; Zhang, Yanbo; Zhang, Weixiong; Tang, Yanqing; Zhang, Xizhe; Wang, Fei.
Afiliación
  • Chang M; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Womer FY; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Gong X; State Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.
  • Chen X; School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
  • Tang L; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Feng R; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Dong S; School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
  • Duan J; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Chen Y; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Zhang R; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Wang Y; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Ren S; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Wang Y; State Key Laboratory of Genetic Engineering and Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China.
  • Kang J; Shanghai Center for Mathematical Science, Fudan University, Shanghai, China.
  • Yin Z; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Wei Y; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Wei S; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Jiang X; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Xu K; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Cao B; Department of Psychiatry, University of Alberta, Edmonton, AB, Canada.
  • Zhang Y; Department of Psychiatry, College of Medicine University of Saskatchewan Ellis Hall, Royal University Hospital, Saskatoon, SK, Canada.
  • Zhang W; Department of Computer Science and Engineering, Washington University, St. Louis, MO, USA.
  • Tang Y; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Zhang X; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China. yanqingtang@163.com.
  • Wang F; School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China. zhangxizhe@gmail.com.
Mol Psychiatry ; 26(7): 2991-3002, 2021 07.
Article en En | MEDLINE | ID: mdl-33005028
Converging evidence increasingly implicates shared etiologic and pathophysiological characteristics among major psychiatric disorders (MPDs), such as schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD). Examining the neurobiology of the psychotic-affective spectrum may greatly advance biological determination of psychiatric diagnosis, which is critical for the development of more effective treatments. In this study, ensemble clustering was developed to identify subtypes within a trans-diagnostic sample of MPDs. Whole brain amplitude of low-frequency fluctuations (ALFF) was used to extract the low-dimensional features for clustering in a total of 944 participants: 581 psychiatric patients (193 with SZ, 171 with BD, and 217 with MDD) and 363 healthy controls (HC). We identified two subtypes with differentiating patterns of functional imbalance between frontal and posterior brain regions, as compared to HC: (1) Archetypal MPDs (60% of MPDs) had increased frontal and decreased posterior ALFF, and decreased cortical thickness and white matter integrity in multiple brain regions that were associated with increased polygenic risk scores and enriched risk gene expression in brain tissues; (2) Atypical MPDs (40% of MPDs) had decreased frontal and increased posterior ALFF with no associated alterations in validity measures. Medicated Archetypal MPDs had lower symptom severity than their unmedicated counterparts; whereas medicated and unmedicated Atypical MPDs had no differences in symptom scores. Our findings suggest that frontal versus posterior functional imbalance as measured by ALFF is a novel putative trans-diagnostic biomarker differentiating subtypes of MPDs that could have implications for precision medicine.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Bipolar / Trastorno Depresivo Mayor / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mol Psychiatry Asunto de la revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Bipolar / Trastorno Depresivo Mayor / Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mol Psychiatry Asunto de la revista: BIOLOGIA MOLECULAR / PSIQUIATRIA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido