Journal
NEUROBIOLOGY OF AGING
Volume 29, Issue 4, Pages 514-523Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.neurobiolaging.2006.11.010
Keywords
prodromal Alzheimer's disease; MCI; pattern recognition; MRI
Categories
Funding
- Intramural NIH HHS [Z01 AG000191-11] Funding Source: Medline
- NIA NIH HHS [N01 AG032124, R01 AG014971-04, R01 AG014971, R01-AG14971, N01-AG-3-2124] Funding Source: Medline
Ask authors/readers for more resources
We report evidence that computer-based high-dimensional pattern classification of magnetic resonance imaging (MRI) detects patterns of brain structure characterizing mild cognitive impairment (MCI), often a prodromal phase of Alzheimer's disease (AD). Ninety percent diagnostic accuracy was achieved, using cross-validation, for 30 participants in the Baltimore Longitudinal Study of Aging. Retrospective evaluation of serial scans obtained during prior years revealed gradual increases in structural abnormality for the MCI group, often before clinical symptoms, but slower increase for individuals remaining cognitively normal. Detecting complex patterns of brain abnormality in very early stages of cognitive impairment has pivotal importance for the detection and management of AD. (C) 2006 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available