Development and Validation of an Automatic Computerized Neurocognitive Battery in Chinese.

Ji Zhang, Ze-Yu Hong, Liu Yang, Xiao-Jia Li, Fang Ye
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Abstract

Objectives: Neuropsychological test batteries, which accurately and comprehensively assess cognitive functions, are a crucial approach in the early detection of and interventions for cognitive impairments. However, these tests have yet to gain wide clinical application in China owing to their complexity and time-consuming nature. This study aimed to develop the Computerized Neurocognitive Battery for Chinese-Speaking participants (CNBC), an autorun and autoscoring cognitive assessment tool to provide efficient and accurate cognitive evaluations for Chinese-Speaking individuals.

Methods: The CNBC was developed through collaboration between clinical neurologists and software engineers. Qualified volunteers were recruited to complete CNBC and traditional neurocognitive batteries. The reliability and validity of the CNBC were evaluated by analyzing the correlations between the measurements obtained from the computerized and the paper-based assessment and those between software-based scoring and manual scoring.

Results: The CNBC included 4 subtests and an autorun version. Eighty-six volunteers aged 51-82 years with 7-22 years of education were included. Significant correlations (0.256-0.666) were observed between paired measures associated with attention, executive function, and episodic memory from the CNBC and the traditional paper-based neurocognitive batteries. This suggests a strong construct validity of the CNBC in assessing these cognitive domains. Furthermore, the correlation coefficients between manual scoring and system scoring ranged from 0.904-1.0, indicating excellent inter-rater reliability for the CNBC.

Interpretation: A novel CNBC equipped with automated testing and scoring features was developed in this study. The preliminary results confirm its strong reliability and validity, indicating its promising potential for clinical utilization.

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中文自动计算机化神经认知测验的开发与验证。
目的:神经心理测试能够准确、全面地评估认知功能,是早期发现和干预认知障碍的重要方法。然而,由于其复杂性和耗时性,这些测试在中国尚未得到广泛的临床应用。本研究旨在开发一种自动运行和自动评分的认知评估工具--"华语参与者计算机化神经认知测验"(CNBC),为华语个体提供高效、准确的认知评估:CNBC 由临床神经学家和软件工程师合作开发。方法:CNBC 由临床神经学家和软件工程师合作开发,招募合格志愿者完成 CNBC 和传统神经认知测试。通过分析电脑测评与纸质测评之间的相关性,以及软件评分与人工评分之间的相关性,对 CNBC 的信度和效度进行评估:CNBC 包括 4 个子测验和一个自动运行版本。共有 86 名志愿者参加了测试,他们的年龄在 51-82 岁之间,受教育年限在 7-22 年之间。CNBC和传统的纸质神经认知测试中与注意力、执行功能和外显记忆相关的成对测量结果之间存在显著的相关性(0.256-0.666)。这表明 CNBC 在评估这些认知领域时具有很强的建构效度。此外,人工评分与系统评分之间的相关系数在0.904-1.0之间,表明CNBC的评分者间可靠性极佳:本研究开发了一种配备自动测试和评分功能的新型 CNBC。初步结果证实了该系统具有很高的可靠性和有效性,表明其在临床应用中具有广阔的前景。
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