White matter integrity and vulnerability to Alzheimer's disease: preliminary findings and future directions

Biochim Biophys Acta. 2012 Mar;1822(3):416-22. doi: 10.1016/j.bbadis.2011.07.009. Epub 2011 Jul 23.

Abstract

Neuroimaging biomarkers that precede cognitive decline have the potential to aid early diagnosis of Alzheimer's disease (AD). A body of diffusion tensor imaging (DTI) work has demonstrated declines in white matter (WM) microstructure in AD and its typical prodromal state, amnestic mild cognitive impairment. The present review summarizes recent evidence suggesting that WM integrity declines are present in individuals at high AD-risk, prior to cognitive decline. The available data suggest that AD-risk is associated with WM integrity declines in a subset of tracts showing decline in symptomatic AD. Specifically, AD-risk has been associated with WM integrity declines in tracts that connect gray matter structures associated with memory function. These tracts include parahippocampal WM, the cingulum, the inferior fronto-occipital fasciculus, and the splenium of the corpus callosum. Preliminary evidence suggests that some AD-risk declines are characterized by increases of radial diffusivity, raising the possibility that a myelin-related pathology may contribute to AD onset. These findings justify future research aimed at a more complete understanding of the neurobiological bases of DTI-based declines in AD. With continued refinement of imaging methods, DTI holds promise as a method to aid identification of presymptomatic AD. This article is part of a Special Issue entitled: Imaging Brain Aging and Neurodegenerative disease.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Alzheimer Disease / diagnosis*
  • Alzheimer Disease / pathology*
  • Brain / pathology
  • Cognition Disorders / diagnosis*
  • Cognition Disorders / pathology*
  • Diffusion Tensor Imaging / methods
  • Humans
  • Nerve Fibers, Myelinated / pathology*
  • Risk Factors