Combining voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes.

Jan T Lehmbeck, Stefanie Brassen, Wolfgang Weber-Fahr, Dieter F Braus
Author Information
  1. Jan T Lehmbeck: Neuroimage Nord, Psychiatry, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Abstract

The present study combined optimized voxel-based morphometry and diffusion tensor imaging to detect age-related brain changes. We compared grey matter density maps (grey matter voxel-based morphometry) and white matter fractional anisotropy maps (diffusion tensor imaging-voxel-based morphometry) between two groups of 17 younger and 17 older women. Older women exhibited reduced white matter fractional anisotropy as well as decreased grey matter density most prominently in the frontal, limbic, parietal and temporal lobes. A discriminant analysis identified four frontal and limbic grey and white matter areas that separated the two groups most effectively. We conclude that grey matter voxel-based morphometry and diffusion tensor imaging voxel-based morphometry are well suited for the detection of age-related changes and their combination provides high accuracy when detecting the neural correlates of aging.

MeSH Term

Adolescent
Aged
Aging
Anisotropy
Brain
Brain Mapping
Diffusion Magnetic Resonance Imaging
Discriminant Analysis
Female
Humans
Image Processing, Computer-Assisted

Word Cloud

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