Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

Journal: Journal of neuroimaging : official journal of the American Society of Neuroimaging
Published Date: Jan 28, 2015

Abstract

BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in assessing WM alterations in the predementia stage of mild cognitive impairment (MCI).

Authors

  • Martin Dyrba
    German Center for Neurodegenerative Diseases, Rostock, Germany.
  • Frederik Barkhof
    MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC location VUmc, the Netherlands.
  • Andreas Fellgiebel
    Department of Psychiatry, University Medical Center Mainz, Mainz, Germany.
  • Massimo Filippi
    Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Scientific Institute and University Vita-Salute San Raffaele, Milan, Italy.
  • Lucrezia Hausner
    Department of Geriatric Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
  • Karlheinz Hauenstein
    Department of Radiology, University Medicine Rostock, Rostock, Germany.
  • Thomas Kirste
    Mobile Multimedia Information Systems Group, University of Rostock, Rostock, Germany.
  • Stefan J Teipel
    German Center for Neurodegenerative Diseases, Rostock, Germany.

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