{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T06:16:53Z","timestamp":1770272213741,"version":"3.49.0"},"reference-count":49,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T00:00:00Z","timestamp":1717027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Seoul National University of Science and Technology"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Amnestic mild cognitive impairment (aMCI) is a transitional stage between normal aging and Alzheimer\u2019s disease, making early screening imperative for potential intervention and prevention of progression to Alzheimer\u2019s disease (AD). Therefore, there is a demand for research to identify effective and easy-to-use tools for aMCI screening. While behavioral tests in virtual reality environments have successfully captured behavioral features related to instrumental activities of daily living for aMCI screening, further investigations are necessary to establish connections between cognitive decline and neurological changes. Utilizing electroencephalography with steady-state visual evoked potentials, this study delved into the correlation between behavioral features recorded during virtual reality tests and neurological features obtained by measuring neural activity in the dorsal stream. As a result, this multimodal approach achieved an impressive screening accuracy of 98.38%.<\/jats:p>","DOI":"10.3390\/s24113543","type":"journal-article","created":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T03:46:49Z","timestamp":1717127209000},"page":"3543","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Exploring the Relationship between Behavioral and Neurological Impairments Due to Mild Cognitive Impairment: Correlation Study between Virtual Kiosk Test and EEG-SSVEP"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4023-6555","authenticated-orcid":false,"given":"Dohyun","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5946-6249","authenticated-orcid":false,"given":"Yuwon","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6581-5831","authenticated-orcid":false,"given":"Jinseok","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Neurology, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hojin","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Neurology, College of Medicine, Hanyang University, Seoul 04763, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hokyoung","family":"Ryu","sequence":"additional","affiliation":[{"name":"Graduate School of Technology and Innovation Management, Hanyang University, Seoul 04763, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7681-5910","authenticated-orcid":false,"given":"Martin","family":"Loeser","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Electrical Engineering and Mechatronics, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3435-0685","authenticated-orcid":false,"given":"Kyoungwon","family":"Seo","sequence":"additional","affiliation":[{"name":"Department of Applied Artificial Intelligence, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,30]]},"reference":[{"key":"ref_1","first-page":"e938826","article-title":"Biomarkers of Activity-Dependent Plasticity and Persistent Enhancement of Synaptic Transmission in Alzheimer Disease: A Review of the Current Status","volume":"29","author":"Warpechowski","year":"2023","journal-title":"Med. 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