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Deciphering the neural mechanisms of miR-134 in major depressive disorder with population-based and person-specific imaging transcriptomic techniques.
Lou, Jing; Liu, Kai; Wen, Junyan; He, Yini; Sun, Yuqing; Tian, Xiaohan; Hu, Ke; Deng, Yanjia; Liu, Bing; Wen, Ge.
Afiliação
  • Lou J; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
  • Liu K; School of Medical Imaging, Xuzhou Medical University, Xuzhou 221006,China; Department of Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou 221004,China.
  • Wen J; Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
  • He Y; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
  • Sun Y; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
  • Tian X; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China.
  • Hu K; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049,China.
  • Deng Y; School of Medical Imaging, Xuzhou Medical University, Xuzhou 221006,China. Electronic address: landseerd@xzhmu.edu.cn.
  • Liu B; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing 102206, China. Electronic address: bing.liu@bnu.ed
  • Wen G; Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China. Electronic address: wenge@smu.edu.cn.
Psychiatry Res ; 329: 115551, 2023 11.
Article em En | MEDLINE | ID: mdl-37871377
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Transtorno Depressivo Maior Limite: Humans Idioma: En Revista: Psychiatry Res Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MicroRNAs / Transtorno Depressivo Maior Limite: Humans Idioma: En Revista: Psychiatry Res Ano de publicação: 2023 Tipo de documento: Article