Clinical Manifestations

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dc.contributor.authorUysal, Alper Kürşat
dc.contributor.authorDanda, Sai Santosh Reddy
dc.contributor.authorCook Maher, Amanda
dc.contributor.authorPersad, Carol C.
dc.contributor.authorRose, Savannah G.
dc.contributor.authorKoeppe, Robert A.
dc.contributor.authorGiordani, Bruno J.
dc.date.accessioned2026-01-24T12:20:49Z
dc.date.available2026-01-24T12:20:49Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractBACKGROUND: Identifying subtle changes in cognitively demanding tasks for older persons, such as daily driving, may reveal connections to early signs of cognitive decline associated with Alzheimer's disease (AD). Research has shown that brain amyloid positivity is strongly associated with AD. This study analyzes various trip-based quantitative measures derived from naturalistic driving to distinguish older adults with amyloid-positivity (A?+) from those who are amyloid-negative (A?-). Significant trip-based naturalist driving attributes identified in this study will be used in future development of machine learning models for classifying A?+ and A?- participants. METHOD: We analyzed naturalistic driving data from 30 A?+ (2,577 trips) and 30 A?- (2,533 trips) consensus diagnosed participants. An internet facilitated data acquisition system was installed in each participant's vehicle, and driving trips were recorded over approximately one month between 2021 and 2024. The mean ages of the A?+ and A?- groups were 72.9±4.2 and 71.4±5.6 respectively. Each recorded trip included three types of data-videos, vehicle signals, and physiological signals. We studied 22 trip-based attributes, some of which had not been examined previously in the research community, including attributes derived from valid and invalid trips. A valid trip contains all required data signals, while an invalid trip has one or more signals missing. Statistical t-tests (?=0.05) were used to evaluate the quantitative attributes of the two groups. RESULT: The following attributes were found to be significant: A?- drivers had a higher percentage of valid trips (p = 0.026), while A?+ drivers had longer average trip duration (p = 0.037), longer average trip distance (p = 0.049), and a higher percentage of weekday night trips (p = 0.048). CONCLUSION: Our research demonstrated that A?- participants had higher percentage of valid trips, potentially indicating better capabilities to operate the data acquisition devices. The longer average trip durations and distances observed in A?+ participants may reflect less efficient route choices while driving. Additionally, the higher percentage of weekday night trips among A?+ participants suggests higher potential risk of more nighttime driving activity. © 2025 The Alzheimer's Association. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association.
dc.identifier.doi10.1002/alz70857_103469
dc.identifier.issn1552-5260
dc.identifier.pmid41447512
dc.identifier.scopus2-s2.0-105025832858
dc.identifier.scopusqualityQ1
dc.identifier.startpagee103469
dc.identifier.urihttps://doi.org/10.1002/alz70857_103469
dc.identifier.urihttps://hdl.handle.net/20.500.12868/4585
dc.identifier.volume21
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.relation.ispartofAlzheimer's and Dementia
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20260121
dc.subjectamyloid beta protein
dc.subjectaged
dc.subjectAlzheimer disease
dc.subjectcar driving
dc.subjectcognitive defect
dc.subjectdiagnosis
dc.subjectfemale
dc.subjecthuman
dc.subjectmale
dc.subjectmetabolism
dc.subjectAged
dc.subjectAlzheimer Disease
dc.subjectAmyloid beta-Peptides
dc.subjectAutomobile Driving
dc.subjectCognitive Dysfunction
dc.subjectFemale
dc.subjectHumans
dc.subjectMale
dc.titleClinical Manifestations
dc.typeArticle

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