Neurobiology of Aging
Volume 31, Issue 8 , Pages 1419-1428, August 2010

Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline

  • J. Nettiksimmons

      Affiliations

    • Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, CA 95616, USA
  • ,
  • D. Harvey

      Affiliations

    • Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, CA 95616, USA
  • ,
  • J. Brewer

      Affiliations

    • Departments of Radiology and Neurosciences, University of California, San Diego, La Jolla, CA 92093-0949, USA
  • ,
  • O. Carmichael

      Affiliations

    • Department of Neurology, University of California, Davis, Davis, CA 95616, USA
  • ,
  • C. DeCarli

      Affiliations

    • Department of Neurology, University of California, Davis, Davis, CA 95616, USA
  • ,
  • C.R. Jack Jr

      Affiliations

    • Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
  • ,
  • R. Petersen

      Affiliations

    • Department of Neurology, Mayo Clinic College of Medicine, Rochester, MN, USA
  • ,
  • L.M. Shaw

      Affiliations

    • Institute on Aging, Alzheimer's Disease Core Center, Center for Neurodegenerative Disease Research, Department of Pathology and Laboratory Medicine, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
  • ,
  • J.Q. Trojanowski

      Affiliations

    • Center for Imaging of Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA
  • ,
  • M.W. Weiner

      Affiliations

    • Center for Imaging of Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA
  • ,
  • L. Beckett

      Affiliations

    • Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, CA 95616, USA
    • Corresponding Author InformationCorresponding author at. Tel.: (530) 754-7161; fax: (530) 752-3239
  • ,
  • The Alzheimer's Disease Neuroimaging Initiative

      Affiliations

    • Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu/ADNI). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators is available at www.loni.ucla.edu/ADNI\Collaboration\ADNI_Manuscript_Citations.pdf.

Received 14 February 2010; received in revised form 19 April 2010; accepted 23 April 2010. published online 09 June 2010.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.

PII: S0197-4580(10)00200-9

doi:10.1016/j.neurobiolaging.2010.04.025

Neurobiology of Aging
Volume 31, Issue 8 , Pages 1419-1428, August 2010