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Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fMRI datasets.
Iraji, A; Fu, Z; Faghiri, A; Duda, M; Chen, J; Rachakonda, S; DeRamus, T; Kochunov, P; Adhikari, B M; Belger, A; Ford, J M; Mathalon, D H; Pearlson, G D; Potkin, S G; Preda, A; Turner, J A; van Erp, T G M; Bustillo, J R; Yang, K; Ishizuka, K; Faria, A; Sawa, A; Hutchison, K; Osuch, E A; Theberge, J; Abbott, C; Mueller, B A; Zhi, D; Zhuo, C; Liu, S; Xu, Y; Salman, M; Liu, J; Du, Y; Sui, J; Adali, T; Calhoun, V D.
Afiliação
  • 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, Georgia, USA.
  • Fu Z; Department of Computer Science, Georgia State University, Atlanta, Georgia, 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, Georgia, USA.
  • Duda M; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
  • Chen J; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, 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, Georgia, USA.
  • DeRamus T; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
  • Kochunov P; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
  • Adhikari BM; Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, USA.
  • Belger A; Maryland Psychiatric Research Center, Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, Maryland, USA.
  • Ford JM; Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA.
  • Mathalon DH; Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.
  • Pearlson GD; San Francisco VA Medical Center, San Francisco, California, USA.
  • Potkin SG; Department of Psychiatry, University of California San Francisco, San Francisco, California, USA.
  • Preda A; San Francisco VA Medical Center, San Francisco, California, USA.
  • Turner JA; Departments of Psychiatry and Neuroscience, School of Medicine, Yale University, New Haven, Connecticut, USA.
  • van Erp TGM; Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA.
  • Bustillo JR; Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA.
  • Yang K; Department of Psychiatry and Behavioral Health, Ohio State University Medical Center in Columbus, Columbus, Ohio, USA.
  • Ishizuka K; Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California, USA.
  • Faria A; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico, USA.
  • Sawa A; Department of Psychiatry, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Hutchison K; Department of Psychiatry, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Osuch EA; Department of Psychiatry, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
  • Theberge J; Departments of Psychiatry, Neuroscience, Biomedical Engineering, Pharmacology, and Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Abbott C; Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
  • Mueller BA; Department of Psychology, University of Colorado, Boulder, Colorado, USA.
  • Zhi D; Department of Psychiatry, Schulich School of Medicine and Dentistry, London Health Sciences Centre, Lawson Health Research Institute, London, Canada.
  • Zhuo C; Department of Psychiatry, Schulich School of Medicine and Dentistry, London Health Sciences Centre, Lawson Health Research Institute, London, Canada.
  • Liu S; Department of Psychiatry (CCA), University of New Mexico, Albuquerque, New Mexico, USA.
  • Xu Y; Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota, USA.
  • Salman M; The State Key Lab of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China.
  • Liu J; Tianjin Mental Health Center, Nankai University Affiliated Anding Hospital, Tianjin, China.
  • Du Y; The Department of Psychiatry, First Clinical Medical College/First Hospital of Shanxi Medical University, Taiyuan, China.
  • Sui J; The Department of Psychiatry, First Clinical Medical College/First Hospital of Shanxi Medical University, Taiyuan, China.
  • Adali T; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, and Emory University, Atlanta, Georgia, USA.
  • Calhoun VD; School of Electrical & Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Hum Brain Mapp ; 44(17): 5729-5748, 2023 12 01.
Article em En | MEDLINE | ID: mdl-37787573
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mapeamento Encefálico / Imageamento por Ressonância Magnética Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mapeamento Encefálico / Imageamento por Ressonância Magnética Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article