Validity and Reliability Study of Online Cognitive Tracking Software (BEYNEX)

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dc.contributor.authorÇınar, N.
dc.contributor.authorAslan, Kendirli S.
dc.contributor.authorFlorentina, Ateş M.
dc.contributor.authorYakupo?lu, E.
dc.contributor.authorAkbu?a, E.
dc.contributor.authorBolu, N.E.
dc.contributor.authorKarali, F.S.
dc.date.accessioned2024-07-12T21:40:22Z
dc.date.available2024-07-12T21:40:22Z
dc.date.issued2024en_US
dc.department[Belirlenecek]en_US
dc.description.abstractBackground: Detecting cognitive impairment such as Alzheimer's disease early and tracking it over time is essential for individuals at risk of cognitive decline. Objective: This research aimed to validate the Beynex app's gamified assessment tests and the Beynex Performance Index (BPI) score, which monitor cognitive performance across seven categories, considering age and education data. Methods: Beynex test cut-off scores of participants (n = 91) were derived from the optimization function and compared to the Montreal Cognitive Assessment (MoCA) test. Validation and reliability analyses were carried out with data collected from an additional 214 participants. Results: Beynex categorization scores showed a moderate agreement with MoCA ratings (weighted Cohen's Kappa = 0.48; 95% CI: 0.38-0.60). Calculated Cronbach's Alpha indicates good internal consistency. Test-retest reliability analysis using a linear regression line fitted to results yielded R?2 of 0.65 with a 95% CI: 0.58, 0.71. Discussion: Beynex's ability to reliably detect and track cognitive impairment could significantly impact public health, early intervention strategies and improve patient outcomes. © 2024 - The authors. Published by IOS Press.en_US
dc.description.sponsorshipMuseum of Contemporary Art in Tucson, Arizona, MOCA; Turun Yliopistollinen Keskussairaala, AUCSen_US
dc.description.sponsorshipThis study aimed to verify the BPI as a cognitive assessment tool and establish the cut-off values for the BPI. The scatterplots and linear regression analysis showed a correlation between the BPI scores and MoCA scores. The determined cut-off values for the BPI scores allowed for categorizing participants into different levels of impairment, aligning with the categories defined by the MoCA scores. Additionally, the AUCs for both cases when differentiating unimpaired from mildly impaired and mildly impaired from impaired show that BPI can screen for cognitive performance with good accuracy. The validation study further supported the accuracy and reliability of the BPI test. The agreement between the BPI and MoCA tests, quantified by Cohen’s kappa coefficient, indicated moderate agreement between the two assessments. The internal consistency of the BPI subtests was also found to be good, as evidenced by the calculated Cronbach’s alpha value. The test-retest reliability analysis demonstrated consistent performance of the Beynex test over time, indicating its stability and reliability for measuring cognitive function when administered to participants at least 2 weeks apart.en_US
dc.identifier.doi10.3233/ADR-230117
dc.identifier.endpage171en_US
dc.identifier.issn2542-4823
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85184887437en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage163en_US
dc.identifier.urihttps://doi.org/10.3233/ADR-230117
dc.identifier.urihttps://hdl.handle.net/20.500.12415/7265
dc.identifier.volume8en_US
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherIOS Press BVen_US
dc.relation.ispartofJournal of Alzheimer's Disease Reportsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKY05221
dc.subjectAlzheimer's Diseaseen_US
dc.subjectBeynexen_US
dc.subjectCognitive Declineen_US
dc.subjectCognitive Impairmenten_US
dc.subjectCognitive Screening Testen_US
dc.subjectComputerized Cognitive Trackingen_US
dc.subjectDementiaen_US
dc.subjectEarly Detectionen_US
dc.subjectMemoryen_US
dc.subjectMontreal Cognitive Assessmenten_US
dc.titleValidity and Reliability Study of Online Cognitive Tracking Software (BEYNEX)en_US
dc.typeArticle
dspace.entity.typePublication

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