Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease

Alzheimer's Disease Neuroimaging Initiative (ADNI)

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

Characterizing brain changes in Alzheimer's disease (AD) is important for patient prognosis and for assessing brain deterioration in clinical trials. In this diffusion weighted imaging study, we used a new fiber-tract modeling method to investigate white matter integrity in 50 elderly controls (CTL), 113 people with mild cognitive impairment, and 37 AD patients. After clustering tractography using a region-of-interest atlas, we used a shortest path graph search through each bundle's fiber density map to derive maximum density paths (MDPs), which we registered across subjects. We calculated the fractional anisotropy (FA) and mean diffusivity (MD) along all MDPs and found significant MD and FA differences between AD patients and CTL subjects, as well as MD differences between CTL and late mild cognitive impairment subjects. MD and FA were also associated with widely used clinical scores. As an MDP is a compact low-dimensional representation of white matter organization, we tested the utility of diffusion tensor imaging measures along these MDPs as features for support vector machine based classification of AD.

Original languageEnglish (US)
Pages (from-to)S132-S140
JournalNeurobiology of Aging
Volume36
Issue numberS1
DOIs
StatePublished - Jan 1 2015

Fingerprint

Anisotropy
Alzheimer Disease
Diffusion Tensor Imaging
Atlases
Brain
Cluster Analysis
Clinical Trials
Cognitive Dysfunction
White Matter

Keywords

  • ADNI
  • Classification
  • Connectivity
  • DTI
  • Fiber tract modeling
  • SVM
  • Tractography
  • White matter

ASJC Scopus subject areas

  • Clinical Neurology
  • Neuroscience(all)
  • Aging
  • Developmental Biology
  • Geriatrics and Gerontology

Cite this

Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease. / Alzheimer's Disease Neuroimaging Initiative (ADNI).

In: Neurobiology of Aging, Vol. 36, No. S1, 01.01.2015, p. S132-S140.

Research output: Contribution to journalArticle

Alzheimer's Disease Neuroimaging Initiative (ADNI). / Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease. In: Neurobiology of Aging. 2015 ; Vol. 36, No. S1. pp. S132-S140.
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