Structural and functional biomarkers of prodromal Alzheimer's disease: A high-dimensional pattern classification study
Open accessAbstract
This work builds upon previous studies that reported high sensitivity and specificity in classifying individuals with mild cognitive impairment (MCI), which is often a prodromal phase of Alzheimer's disease (AD), via pattern classification of MRI scans. The current study integrates MRI and PET (15)O water scans from 30 participants in the Baltimore Longitudinal Study of Aging, and tests the hypothesis that joint evaluation of structure and function can yield higher classification accuracy than either alone. Classification rates of up to 100% accuracy were achieved via leave-one-out cross-validation, whereas conservative estimates of generalization performance in new scans, evaluated via bagging cross-validation, yielded an area under the receiver operating characteristic (ROC) curve equal to 0.978 (97.8%), indicating excellent diagnostic accuracy. Spatial maps of regions determined to contribute the most to the classification implicated many temporal, prefrontal, orbitofrontal, and parietal regions. Detecting complex patterns of brain abnormality in 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
- Fan, Y., Resnick, S. M., Wu, X., & Davatzikos, C.
- Affiliations
- National Institute on Aging (US)
- University of Pennsylvania (US)
- Corresponding author
- Davatzikos, Christos
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 41
- Issue
- 2
- Pages
- 277-285
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2682533
- OpenAlex
- W1986014162
- Cited by
- 288
- References
- 10
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 3 · 2023: 5 · 2022: 11 · 2021: 15 · 2020: 12 · 2019: 11 · 2018: 14 · 2017: 20 · 2016: 21 · 2015: 19 · 2014: 30 · 2013: 28 · 2012: 31
- FWCI
- 14.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (N01-AG-32124, Z01AG000191, R01 AG 14971, R01AG014971)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- prodromal Alzheimer's disease, mild cognitive impairment, 15O-water PET, early detection of cognitive impairment, temporal lobe, prefrontal cortex, orbitofrontal cortex, parietal cortex, Baltimore Longitudinal Study of Aging
- MeSH terms
- Aged, 80 and over, Alzheimer Disease, Brain, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Sensitivity and Specificity, Positron-Emission Tomography
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