{"title":"Optical Taxonomic Signal and the Diagnosis of Alzheimer's Disease","authors":"Frank A. Greco;Brent R. Schell;Eugene B. Hanlon","doi":"10.1109/OJEMB.2024.3477449","DOIUrl":null,"url":null,"abstract":"<italic>Goal:</i>\n 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 \n<inline-formula><tex-math>$\\beta$</tex-math></inline-formula>\n-amyloid. \n<italic>Methods:</i>\n 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. \n<italic>Results:</i>\n Features at 891 and 768 nm discriminate between subjects with and without leptomeningeal \n<inline-formula><tex-math>$\\beta$</tex-math></inline-formula>\n-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. \n<italic>Conclusions:</i>\n The discovery of an 891 nm feature that clearly depends upon the presence of \n<inline-formula><tex-math>$\\beta$</tex-math></inline-formula>\n-amyloid supports our hypothesis that the 895 nm feature previously discovered also reports \n<inline-formula><tex-math>$\\beta$</tex-math></inline-formula>\n-amyloid.","PeriodicalId":33825,"journal":{"name":"IEEE Open Journal of Engineering in Medicine and Biology","volume":"6 ","pages":"107-112"},"PeriodicalIF":2.7000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10712650","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of Engineering in Medicine and Biology","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10712650/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The IEEE Open Journal of Engineering in Medicine and Biology (IEEE OJEMB) is dedicated to serving the community of innovators in medicine, technology, and the sciences, with the core goal of advancing the highest-quality interdisciplinary research between these disciplines. The journal firmly believes that the future of medicine depends on close collaboration between biology and technology, and that fostering interaction between these fields is an important way to advance key discoveries that can improve clinical care.IEEE OJEMB is a gold open access journal in which the authors retain the copyright to their papers and readers have free access to the full text and PDFs on the IEEE Xplore® Digital Library. However, authors are required to pay an article processing fee at the time their paper is accepted for publication, using to cover the cost of publication.