Optical Taxonomic Signal and the Diagnosis of Alzheimer's Disease
<italic>Goal:</italic> 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 th...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10712650/ |
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| Summary: | <italic>Goal:</italic> 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 <inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula>-amyloid. <italic>Methods:</italic> 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. <italic>Results:</italic> Features at 891 and 768 nm discriminate between subjects with and without leptomeningeal <inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula>-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. <italic>Conclusions:</italic> The discovery of an 891 nm feature that clearly depends upon the presence of <inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula>-amyloid supports our hypothesis that the 895 nm feature previously discovered also reports <inline-formula><tex-math notation="LaTeX">$\beta$</tex-math></inline-formula>-amyloid. |
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| ISSN: | 2644-1276 |