Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
Open accessAbstract
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.
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Classifiers using multimodal biological, imaging, and neuropsychological markers can separate AD patients from cognitively normal individuals accurately.
“Multi-modal biological, imaging, and neuropsychological markers have demonstrated promising performance for distinguishing Alzheimer’s disease (AD) patients from cognitively normal elders.”
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- Authors
- Davatzikos, C., Fan, Y., Wu, X., Shen, D., & Resnick, S. M.
- Affiliations
- University of Pennsylvania (US)
- National Institutes of Health (US)
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2008-04
- Volume
- 29
- Issue
- 4
- Pages
- 514-523
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC2323584
- OpenAlex
- W2120111102
- Semantic Scholar
- 52bb7c5d679b75b0e4cd980274c931c0ac65fb90
- Cited by
- 385
- References
- 52
- Citations by year
- 2026: 9 · 2025: 6 · 2024: 11 · 2023: 7 · 2022: 13 · 2021: 15 · 2020: 20 · 2019: 15 · 2018: 26 · 2017: 25 · 2016: 19 · 2015: 27 · 2014: 23 · 2013: 34 · 2012: 33
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Johns Hopkins University
- National Institutes of Health (n01ag032124-003)
- National Institute on Aging (N01-AG-32124, Z01AG000191, R01 AG 14971, N01 AG032124, R01AG014971)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- prodromal Alzheimer's disease, mild cognitive impairment, structural brain abnormalities, magnetic resonance imaging, early detection of cognitive impairment, longitudinal MRI, Baltimore Longitudinal Study of Aging, diagnostic accuracy
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Brain, Cognition Disorders, Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Prospective Studies, Retrospective Studies
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