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

Autor:	Çınar N; Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey., Aslan Kendirli S; Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey., Florentina Ateş M; Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey., Yakupoğlu E; Department of Neurology, Acıbadem Altunizade Hospitals, Istanbul, Turkey., Akbuğa E; Department of Physiotherapy and Rehabilitation, Yeditepe University, Istanbul, Turkey., Bolu NE; Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey., Karalı FS; Department of Speech and Language Therapy English, Biruni University, Istanbul, Turkey., Okluoğlu T; Department of Neurology, Istanbul Eğitim Araştırma Hastanesi, Istanbul, Turkey., Bülbül NG; Department of Neurology, Haydarpaşa Sultan Abdülhamid Han Eğitim ve Araştırma Hastanesi, Istanbul, Turkey., Bayindir E; BEYNEX Technologies OÜ, Tallinn, Estonia., Atam KT; BEYNEX Technologies OÜ, Tallinn, Estonia., Hisarlı E; BEYNEX Technologies OÜ, Tallinn, Estonia., Akgönül S; BEYNEX Technologies OÜ, Tallinn, Estonia., Bagatır O; BEYNEX Technologies OÜ, Tallinn, Estonia., Sahiner E; BEYNEX Technologies OÜ, Tallinn, Estonia., Orgen B; Boğaziçi University, Istanbul, Turkey., Sahiner TAH; Department of Neurology, Memorial Hospitals, Istanbul, Turkey.
Jazyk:	angličtina
Zdroj:	Journal of Alzheimer's disease reports [J Alzheimers Dis Rep] 2024 Feb 06; Vol. 8 (1), pp. 163-171. Date of Electronic Publication: 2024 Feb 06 (Print Publication: 2024).
DOI:	10.3233/ADR-230117
Abstrakt:	Background: 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. Competing Interests: Sahiner TAH has acted as a consultant for “BEYNEX Technologies OÜ”, Bayındır E, Atam T, Hisarlı E, Akgönül S, Bagatır O, and Sahiner E, are employees of BEYNEX Technologies OÜ. (© 2024 – The authors. Published by IOS Press.)
Databáze:	MEDLINE
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