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Tools of the trade: estimating time-varying connectivity patterns from fMRI data.
Iraji, Armin; Faghiri, Ashkan; Lewis, Noah; Fu, Zening; Rachakonda, Srinivas; Calhoun, Vince D.
Afiliación
  • Iraji A; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
  • Faghiri A; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
  • Lewis N; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
  • Fu Z; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
  • Rachakonda S; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
  • Calhoun VD; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, GA 30303, USA.
Soc Cogn Affect Neurosci ; 16(8): 849-874, 2021 08 05.
Article en En | MEDLINE | ID: mdl-32785604
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encefalopatías / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Soc Cogn Affect Neurosci Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Encefalopatías / Imagen por Resonancia Magnética Límite: Humans Idioma: En Revista: Soc Cogn Affect Neurosci Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos