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

IF 4.7 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-02-06 DOI:10.3233/adr-230117

Nilgün Çınar, Sude Aslan Kendirli, Miruna Florentina Ateş, Ezgi Yakupoğlu, Ebru Akbuğa, Naci Emre Bolu, F. Karalı, T. Okluoğlu, Nazlı Gamze Bülbül, Elif Bayindir, Kamil Tolga Atam, Enis Hisarlı, Sarp Akgönül, Oğulcan Bagatır, Emre Sahiner, Bora Orgen, Türker Ahmet Hasan Sahiner

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Abstract

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.

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在线认知跟踪软件（BEYNEX）的有效性和可靠性研究

背景：及早发现阿尔茨海默病等认知功能障碍并进行长期跟踪，对于有认知功能衰退风险的人来说至关重要。研究目的本研究旨在验证 Beynex 应用程序的游戏化评估测试和 Beynex 性能指数 (BPI) 评分，该评分可监测七个类别的认知性能，并考虑年龄和教育数据。研究方法通过优化功能得出参与者（n = 91）的 Beynex 测试临界分数，并与蒙特利尔认知评估（MoCA）测试进行比较。对另外 214 名参与者的数据进行了验证和可靠性分析。结果显示Beynex分类得分与MoCA评分显示出中等程度的一致性（加权科恩卡帕=0.48；95% CI：0.38-0.60）。计算得出的 Cronbach's Alpha 显示出良好的内部一致性。使用线性回归线对结果进行重测可靠性分析，得出 R∧2 为 0.65，95% CI 为 0.58，0.71。讨论结果Beynex 能够可靠地检测和跟踪认知障碍，这将对公共卫生、早期干预策略和改善患者预后产生重大影响。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.