Neurobiology of Aging
Volume 29, Issue 10 , Pages 1547-1555, October 2008

A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage

  • R.A. Charlton

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
    • Corresponding Author InformationCorresponding author. Tel.: +44 20 8725 5385; fax: +44 20 8725 2950.
  • ,
  • S. Landau

      Affiliations

    • Department of Biostatistics and Computing, Institute of Psychiatry, King's College, University of London, De Crespigny Park, London SE5 8AF, UK
  • ,
  • F. Schiavone

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
  • ,
  • T.R. Barrick

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
  • ,
  • C.A. Clark

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
  • ,
  • H.S. Markus

      Affiliations

    • Clinical Neuroscience, St. George's University of London, Cranmer Terrace, London SW17 0RE, UK
  • ,
  • R.G. Morris

      Affiliations

    • Department of Psychology, Institute of Psychiatry, King's College, University of London, De Crespigny Park, London SE5 8AF, UK

Received 31 March 2006; received in revised form 13 March 2007; accepted 17 March 2007. published online 25 April 2007.

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(07)00126-1

doi:10.1016/j.neurobiolaging.2007.03.017

Neurobiology of Aging
Volume 29, Issue 10 , Pages 1547-1555, October 2008