Development and validation of the Chinese Naming Test (CNT): Diagnostic efficacy and correlation with Alzheimer’s disease biomarkers

痴呆 医学 神经心理学 相关性 疾病 认知障碍 接收机工作特性 萎缩 神经影像学 认知 内科学 病理 听力学 精神科 几何学 数学
作者
Zhen Zhang,Liang Cui,Lin Huang,Yihui Guan,Fang Xie,Qihao Guo
出处
期刊:Journal of Alzheimer's Disease [IOS Press]
标识
DOI:10.1177/13872877251324100
摘要

Background Neuropsychological assessments are essential tools for the screening and diagnosis of patients with cognitive impairments. Cultural background differences significantly affect cognitive test performance. For China, which is rapidly aging, a culturally adaptive picture naming test is urgently needed. Objective This study aims to develop a Chinese naming test (CNT) adapted to the cultural background of Chinese people and to explore its correlation with Alzheimer's disease (AD) biomarkers. Methods A total of 1459 participants were recruited, including 744 with normal cognition (NC), 492 with mild cognitive impairment (MCI), and 223 with dementia. All participants underwent a comprehensive neuropsychological assessment. The diagnostic capability of CNT was determined using Receiver Operating Characteristic curves. Part of participants underwent amyloid-β (Aβ) PET scans, tau-PET scans, and MRI scans. The relationships between CNT scores and Aβ and tau deposition, as well as brain structural changes, were analyzed. Results The diagnostic capability of CNT for MCI showed a sensitivity of 68.7%, specificity of 75.6%, and AUC of 0.81; for dementia, the sensitivity was 72.7%, specificity was 89.5%, and AUC was 0.89. The correlation coefficient between CNT scores and brain Aβ burden was −0.11 (p = 0.024). CNT scores correlated with tau burden in different Braak stages (p < 0.05). The correlation coefficient between CNT scores and hippocampus atrophy was −0.15 (p = 0.003). Conclusions The CNT has good diagnostic performance in detecting MCI and dementia in Chinese population. There is a correlation between CNT scores and AD imaging markers, indicating that the CNT might has potential value in predicting cognitive changes and disease progression.
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