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与轻度认知障碍向痴呆转化相关的言语流畅性模式。

Verbal fluency patterns associated with the amnestic conversion from mild cognitive impairment to dementia.

机构信息

Department of Medical Specialties - Neurology Unit, AOUP, 56126, Pisa, Italy.

Department of NEUROFARBA- Section of Psychology, University of Florence, 50135, Florence, Italy.

出版信息

Sci Rep. 2024 Jan 23;14(1):2029. doi: 10.1038/s41598-024-52562-x.

Abstract

Patients with amnestic mild cognitive impairment (aMCI) are at a higher risk of converting to Alzheimer's disease. The aim of this study was to examine the potential use of Verbal Fluency (VF) measures as markers for predicting the conversion to dementia. At baseline, 61 aMCI, aged 65 to 80 years, underwent a comprehensive neuropsychological assessment, including phonemic (PVF) and semantic verbal fluency (SVF) tasks. After 18 months, 14 individuals with aMCI had progressed to a diagnosis of dementia. The findings revealed that aMCI-converter group had lower Mini Mental State Examination and Rey Auditory Verbal Learning Task scores than aMCI-no converter and produced fewer clusters in both VF tasks and a lower number of switches in PVF at baseline (p < 0.05). According to receiver operating characteristic curve analysis, the number of clusters in PVF had the highest predictive value (AUC = 0.80) with a threshold of 5.510 for identifying aMCI-converter at baseline. Additionally, participants with higher levels of education exhibited more clusters and switches in VF tasks (p < 0.05). These results suggest that qualitative measures of VF could serve as neuropsychological markers for predicting cognitive decline in individuals with aMCI. Furthermore, the study highlights the potential influence of the education level on cognitive performance in neuropsychological tasks.

摘要

遗忘型轻度认知障碍 (aMCI) 患者转化为阿尔茨海默病的风险较高。本研究旨在探讨言语流畅性 (VF) 测量作为预测向痴呆转化的标志物的潜在用途。在基线时,61 名年龄在 65 至 80 岁的 aMCI 患者接受了全面的神经心理学评估,包括语音 (PVF) 和语义言语流畅性 (SVF) 任务。18 个月后,14 名 aMCI 患者进展为痴呆症诊断。研究结果表明,与 aMCI 未转化组相比,aMCI 转化组的简易精神状态检查和 Rey 听觉言语学习测试得分较低,在基线时,在两项 VF 任务中产生的聚类较少,在 PVF 中的切换次数也较少 (p<0.05)。根据受试者工作特征曲线分析,PVF 中的聚类数具有最高的预测价值 (AUC=0.80),其识别 aMCI 转化者的阈值为 5.510。此外,教育程度较高的参与者在 VF 任务中表现出更多的聚类和切换 (p<0.05)。这些结果表明,VF 的定性测量可以作为预测 aMCI 患者认知下降的神经心理学标志物。此外,该研究强调了教育程度对神经心理学任务中认知表现的潜在影响。

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