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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.
Habes, Mohamad; Pomponio, Raymond; Shou, Haochang; Doshi, Jimit; Mamourian, Elizabeth; Erus, Guray; Nasrallah, Ilya; Launer, Lenore J; Rashid, Tanweer; Bilgel, Murat; Fan, Yong; Toledo, Jon B; Yaffe, Kristine; Sotiras, Aristeidis; Srinivasan, Dhivya; Espeland, Mark; Masters, Colin; Maruff, Paul; Fripp, Jurgen; Völzk, Henry; Johnson, Sterling C; Morris, John C; Albert, Marilyn S; Miller, Michael I; Bryan, R Nick; Grabe, Hans J; Resnick, Susan M; Wolk, David A; Davatzikos, Christos.
Afiliação
  • Habes M; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Pomponio R; Department of Neurology and Penn Memory Center, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Shou H; Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
  • Doshi J; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Mamourian E; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Erus G; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Nasrallah I; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Launer LJ; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Rashid T; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Bilgel M; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Fan Y; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Toledo JB; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Yaffe K; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Sotiras A; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Srinivasan D; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Espeland M; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Masters C; Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, Maryland, USA.
  • Maruff P; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Fripp J; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Völzk H; Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland, USA.
  • Johnson SC; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Morris JC; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Albert MS; Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
  • Miller MI; Stanley Appel Department of Neurology, Houston Methodist Hospital, Houston, Texas, USA.
  • Bryan RN; Departments of Neurology, Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
  • Grabe HJ; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Resnick SM; Department of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Wolk DA; Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Davatzikos C; Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Alzheimers Dement ; 17(1): 89-102, 2021 01.
Article em En | MEDLINE | ID: mdl-32920988
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Imageamento por Ressonância Magnética / Peptídeos beta-Amiloides / Substância Branca / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Envelhecimento / Imageamento por Ressonância Magnética / Peptídeos beta-Amiloides / Substância Branca / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article