Development and Validation of an Automatic Computerized Neurocognitive Battery in Chinese.
Ji Zhang1,2, Ze-Yu Hong1, Liu Yang1
1Department of Neurology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
American Journal of Alzheimer'S Disease and Other Dementias
|October 4, 2024
Summary
A new Computerized Neurocognitive Battery (CNBC) for Chinese speakers offers efficient and reliable cognitive assessment. This tool demonstrates strong validity and reliability for early detection of cognitive impairments.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Medical Informatics
Background:
- Neuropsychological test batteries are vital for detecting cognitive impairments.
- Current tests face challenges in China due to complexity and time demands.
Purpose of the Study:
- To develop the Computerized Neurocognitive Battery for Chinese-Speaking participants (CNBC).
- To create an autorun and autoscoring tool for efficient cognitive evaluation.
Main Methods:
- Collaborative development by neurologists and software engineers.
- Evaluation of reliability and validity through correlation analysis with traditional batteries.
- Comparison of automated scoring against manual scoring.
Main Results:
- The CNBC includes 4 subtests with an autorun version.
- Significant correlations (0.256-0.666) were found between CNBC and traditional tests for attention, executive function, and memory.
- Excellent inter-rater reliability (0.904-1.0) was confirmed for automated scoring.
Conclusions:
- A novel, automated CNBC was successfully developed.
- Preliminary findings support its strong reliability and validity.
- The CNBC shows promising potential for clinical use in Chinese-speaking populations.
