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.

Abstract

Authors

• Mohamad Habes
  Biggs Alzheimer's Institute, University of Texas San Antonio Health Science Center, USA.
• Raymond Pomponio
  Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
• Haochang Shou
  Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
• Jimit Doshi
  Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
• Elizabeth Mamourian
  Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
• Guray Erus
  Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
• Ilya Nasrallah
  Department of Radiology, University of Pennsylvania, Philadelphia, USA.
• Lenore J Launer
  Neuroepidemiology Section, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, USA.
• Tanweer Rashid
  Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
• Murat Bilgel
  Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
• Yong Fan
  CPB/ECMO Children's Hospital, Zhejiang University School of Medicine, 310052 Hangzhou, Zhejiang, China.
• Jon B Toledo
  Department of Pathology and Laboratory Medicine, Institute on Aging, Center for Neurodegenerative Disease Research, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
• Kristine Yaffe
  Departments of Neurology, Psychiatry and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
• Aristeidis Sotiras
  Department of Radiology and Institute of Informatics, Washington University in St. Luis, St. Luis, MO63110, USA.
• Dhivya Srinivasan
  Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
• Mark Espeland
  Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
• Colin Masters
  Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia.
• Paul Maruff
  Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia.
• Jurgen Fripp
  CSIRO Health and Biosecurity, Australian e-Health Research Centre CSIRO, Brisbane, Queensland, Australia.
• Henry Völzk
  Institute for Community Medicine, University of Greifswald, Greifswald, Germany.
• Sterling C Johnson
  Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
• John C Morris
  Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.
• Marilyn S Albert
  Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
• Michael I Miller
  Center for Imaging Science, Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD, USA. Electronic address: mim@cis.jhu.edu.
• R Nick Bryan
  Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (J.D.R., L.X., A.K., J.M.E., T.C., I.M.N., S.M., J.C.G.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, Calif (J.D.R., A.M.R.); Penn Image Computing and Science Laboratory, University of Pennsylvania, Philadelphia, Pa (X.L., J.W.); University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa (M.T.D.); Mecklenburg Radiology Associates, Charlotte, NC (E.J.B.); Department of Radiology, University of Texas, Austin, Tex (R.N.B.); and Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pa (I.M.N.).
• Hans J Grabe
  Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Germany.
• Susan M Resnick
  Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
• David A Wolk
  Department of Neurology, University of Pennsylvania, Philadelphia, PA, USA.
• Christos Davatzikos
  Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AID), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Keywords

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