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Test-Retest Reliability of Resting Brain Small-World Network Properties across Different Data Processing and Modeling Strategies.
Wu, Qianying; Lei, Hui; Mao, Tianxin; Deng, Yao; Zhang, Xiaocui; Jiang, Yali; Zhong, Xue; Detre, John A; Liu, Jianghong; Rao, Hengyi.
Afiliação
  • Wu Q; Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai 201613, China.
  • Lei H; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Mao T; School of Life Sciences, University of Science and Technology of China, Hefei 230026, China.
  • Deng Y; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Zhang X; College of Education, Hunan Agricultural University, Changsha 410127, China.
  • Jiang Y; Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai 201613, China.
  • Zhong X; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Detre JA; Key Laboratory of Brain-Machine Intelligence for Information Behavior (Ministry of Education and Shanghai), School of Business and Management, Shanghai International Studies University, Shanghai 201613, China.
  • Liu J; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
  • Rao H; Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Brain Sci ; 13(5)2023 May 19.
Article em En | MEDLINE | ID: mdl-37239297
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Brain Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Brain Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China