{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T05:56:08Z","timestamp":1789624568823,"version":"build-2803163510"},"reference-count":48,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T00:00:00Z","timestamp":1693440000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Aging Neurosci."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Japan has the largest aging population with 33% of the population over the age of 60 years. The number of Japanese adults with dementia is estimated to be approximately 4.6 million, comprising nearly 15% of the older adult population. It is critical to administer cognitive assessments early in the disease state that have high reliability and low user burden to detect negative cognitive changes as early as possible; however, current preclinical AD detection methods are invasive, time-consuming, and expensive. A number of traditional and digital cognitive assessments are also available, but many of these tests are time-consuming, taxing to the user, and not widely scalable. The purpose of this study was to incorporate a digital cognitive assessment battery into a standard clinical assessment performed within a Japanese-based neuropsychology clinic to assess the diagnostic accuracy and the relationship between the digital Neurotrack Cognitive Assessment Battery (N-CAB) to traditional cognitive assessments.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Healthy individuals and probable Alzheimer's patients completed the N-CAB, as well as two traditional cognitive assessments, the Mini Mental Status Exam (MMSE) and the Revised Hasegawa's Dementia Scale (HDS-R).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Our results demonstrate the Image Pairs hand-response phase of the N-CAB had the highest diagnostic accuracy with 95% sensitivity and 89% specificity to probable Alzheimer's disease. This was closely followed by the Symbol Match assessment, with a 96% sensitivity and 74% specificity to probable Alzheimer's disease. Additionally, Symbol Match and Path Points used in combination resulted in a sensitivity of 94%, specificity of 90%; a model with all N-CAB assessments resulted in a sensitivity and specificity of 100%. All N-CAB assessments had moderate to strong and significant correlations with the MMSE and HDS-R.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Together, this suggests that the N-CAB assessment battery may be an appropriate alternative for the clinical screening of cognition for earlier detection of Alzheimer's disease.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnagi.2023.1206481","type":"journal-article","created":{"date-parts":[[2023,8,31]],"date-time":"2023-08-31T16:13:25Z","timestamp":1693498405000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["The efficacy and practicality of the Neurotrack Cognitive Battery assessment for utilization in clinical settings for the identification of cognitive decline in an older Japanese population"],"prefix":"10.3389","volume":"15","author":[{"given":"Jordan M.","family":"Glenn","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kelsey","family":"Bryk","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jennifer R.","family":"Myers","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Anderson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaori","family":"Onguchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacob","family":"McFarlane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Satoshi","family":"Ozaki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2023,8,31]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1186\/s12877-021-02457-7","article-title":"Practices and perspectives of primary care physicians in Japan and the United States about diagnosing dementia: a qualitative study","author":"Abe","year":"2021","journal-title":"BMC Geriatr"},{"key":"B2","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.jalz.2015.02.003","article-title":"Alzheimer's disease facts and figures","volume":"11","year":"2015","journal-title":"Alzheimer's Dement"},{"key":"B3","doi-asserted-by":"publisher","first-page":"367","DOI":"10.1016\/j.jalz.2018.02.001","article-title":"Alzheimer's disease facts and figures","volume":"14","year":"2018","journal-title":"Alzheimer's Dement"},{"key":"B4","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/j.jalz.2019.01.010","article-title":"Alzheimer's disease facts and figures","volume":"15","year":"2019","journal-title":"Alzheimer's Dement"},{"key":"B5","unstructured":"\u201cWorld Alzheimer Report 2018,\u201dThe State of the art of Dementia Research: New Frontiers2018"},{"key":"B6","article-title":"\u201cDSM-5 task force,\u201d","year":"2017","journal-title":"Diagnostic and Statistical Manual of Mental Disorders: DSM-5"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2022.907496","article-title":"Validation of at-home application of a digital cognitive screener for older adults","author":"Arioli","year":"2022","journal-title":"Front. 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