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critical brain diseases. The prevalence of the disease keeps rising due to increasing life spans. This study aims to examine the use of hemodynamic signals during hypoxic respiratory challenge for the differentiation of Alzheimer\u2019s disease (AD) and wild-type (WT) mice. Diffuse optical spectroscopy, an optical system that can non-invasively monitor transient changes in deoxygenated (\u0394RHb) and oxygenated (\u0394OHb) hemoglobin concentrations, was used to monitor hemodynamic reactivity during hypoxic respiratory challenges in an animal model. From the acquired signals, 13 hemodynamic features were extracted from each of \u0394RHb and \u2212\u0394OHb (26 features total) for more in-depth analyses of the differences between AD and WT. The hemodynamic features were statistically analyzed and tested to explore the possibility of using machine learning (ML) to differentiate AD and WT. Among the twenty-six features, two features of \u0394RHb and one feature of \u2212\u0394OHb showed statistically significant differences between AD and WT. Among ML techniques, a naive Bayes algorithm achieved the best accuracy of 84.3% when whole hemodynamic features were used for differentiation. While further works are required to improve the approach, the suggested approach has the potential to be an alternative method for the differentiation of AD and WT.<\/jats:p>","DOI":"10.3390\/bios12111019","type":"journal-article","created":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T02:24:53Z","timestamp":1668565493000},"page":"1019","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Use of Hypoxic Respiratory Challenge for Differentiating Alzheimer\u2019s Disease and Wild-Type Mice Non-Invasively: A Diffuse Optical Spectroscopy Study"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3472-8062","authenticated-orcid":false,"given":"Myeongsu","family":"Seong","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Nantong University, Nantong 226019, China"},{"name":"Research Center for Intelligent Information Technology, Nantong University, Nantong 226019, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0107-5579","authenticated-orcid":false,"given":"Yoonho","family":"Oh","sequence":"additional","affiliation":[{"name":"Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6740-6262","authenticated-orcid":false,"given":"Hyung Joon","family":"Park","sequence":"additional","affiliation":[{"name":"School of Biological Sciences and Technology, College of Natural Sciences, College of Medicine, Chonnam National University, Gwangju 61186, Republic of Korea"},{"name":"Department of Biochemistry, University of Washington, Seattle, WA 98195, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Won-Seok","family":"Choi","sequence":"additional","affiliation":[{"name":"School of Biological Sciences and Technology, College of Natural Sciences, College of Medicine, Chonnam National University, Gwangju 61186, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1010-7712","authenticated-orcid":false,"given":"Jae Gwan","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Alzheimer\u2019s Association (2020). 2020 Alzheimer\u2019s Disease Facts and Figures. 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