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An information network flow approach for measuring functional connectivity and predicting behavior.
Kumar, Sreejan; Yoo, Kwangsun; Rosenberg, Monica D; Scheinost, Dustin; Constable, R Todd; Zhang, Sheng; Li, Chiang-Shan R; Chun, Marvin M.
Afiliación
  • Kumar S; Department of Psychology, Yale University, New Haven, Connecticut.
  • Yoo K; Department of Psychology, Yale University, New Haven, Connecticut.
  • Rosenberg MD; Department of Psychology, Yale University, New Haven, Connecticut.
  • Scheinost D; Department of Psychology, University of Chicago, Chicago, Illinois.
  • Constable RT; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
  • Zhang S; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
  • Li CR; Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut.
  • Chun MM; Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut.
Brain Behav ; 9(8): e01346, 2019 08.
Article en En | MEDLINE | ID: mdl-31286688
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención / Conectoma / Individualidad Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Brain Behav Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Atención / Conectoma / Individualidad Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male Idioma: En Revista: Brain Behav Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos