1. Optical Taxonomic Signal and the Diagnosis of Alzheimer's Disease
- Author
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Frank A. Greco, Brent R. Schell, and Eugene B. Hanlon
- Subjects
Alzheimer's disease ,amyloid ,cerebral amyloid angiopathy ,feature selection ,near-infrared spectroscopy ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Medical technology ,R855-855.5 - Abstract
Goal: We previously demonstrated that near-infrared spectroscopy in vivo presents spectral features at 895 and 861 nm that accurately classify Alzheimer's disease, mild cognitive impairment, and age-matched control subjects. Our purpose here is to associate the 895 nm signal with $\beta$-amyloid. Methods: We applied our feature selection technique to subjects with and without leptomeningeal amyloid. We developed a novel concept, optical taxonomic signal, to determine the dependence of signal on source-detector distance. Results: Features at 891 and 768 nm discriminate between subjects with and without leptomeningeal $\beta$-amyloid. The variation of optical taxonomic signal with source-detector distance indicates that both signals come from the leptomeninges and not cerebral cortex. The two features are highly correlated and likely result from the same cellular material. Conclusions: The discovery of an 891 nm feature that clearly depends upon the presence of $\beta$-amyloid supports our hypothesis that the 895 nm feature previously discovered also reports $\beta$-amyloid.
- Published
- 2025
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