Munthuli A, Vongsurakrai S, Anansiripinyo T, Ellermann V, Sroykhumpa K, Onsuwan C, Chutichetpong P, Hemrungrojn S, Kosawat K, Tantibundhit C
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:690-694. doi: 10.1109/EMBC46164.2021.9630779.
Thammasat-NECTEC-Chula's Thai Language and Cognition Assessment (TLCA) is a cognitive paper-based test consisting of 21 tasks that cover 3 domains: memory, language, and other cognitive abilities. The TLCA follows some aspects of the existing tests (Thai Addenbrooke's Cognitive Examination-Revised (Thai-ACE-R) and the Thai Montreal Cognitive Assessment Test (Thai-MoCA)) and many parts were reconstructed to be more adapted to the Thai culture. Data obtained from the test will be able to precisely distinguish between patients with Mild Cognitive Impairment (MCI), Alzheimer's Disease (AD), and Normal healthy Controls (NC). The TLCA was tested on 90 participants (32 on the paper-based version and 58 on the computerized version) using a scoring procedure and speech features from verbal responses with machine learning classification. The scoring results showed significant difference between non-AD (NC + MCI) vs AD participants in 3 domains and could differentiate between NC and MCI, while machine classification could classify in three settings: NC vs non-NC (MCI + AD), AD vs non-AD and NC vs MCI vs AD. These promising results suggest that TLCA could be further verified and used as an efficient assessment in MCI and AD screening for Thais.Clinical relevance- The speech feature analysis of TLCA showed promising result for screening MCI and AD for Thais.
泰国法政大学-国家电子与计算机技术中心-朱拉隆功大学的泰语与认知评估（TLCA）是一项基于纸质的认知测试，由21项任务组成，涵盖三个领域：记忆、语言和其他认知能力。TLCA借鉴了现有测试（泰国修订版阿登布鲁克认知检查（Thai-ACE-R）和泰国蒙特利尔认知评估测试（Thai-MoCA））的一些方面，并且许多部分经过重新构建，以使其更适应泰国文化。从该测试中获得的数据将能够精确区分轻度认知障碍（MCI）患者、阿尔茨海默病（AD）患者和正常健康对照（NC）。使用评分程序和来自言语反应的语音特征以及机器学习分类方法，对90名参与者（32名使用纸质版，58名使用计算机版）进行了TLCA测试。评分结果显示，在三个领域中，非AD组（NC + MCI）与AD组参与者之间存在显著差异，并且能够区分NC和MCI，而机器学习分类可以在三种情况下进行分类：NC与非NC（MCI + AD）、AD与非AD以及NC与MCI与AD。这些有前景的结果表明，TLCA可以进一步验证，并用作泰国人MCI和AD筛查的有效评估工具。临床相关性——TLCA的语音特征分析在泰国人MCI和AD筛查方面显示出有前景的结果。
