Prediction of Mild Cognitive Impairment using P300-Speller BCI
Prediction of Mild Cognitive Impairment using P300-Speller BCI
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使用 P300-Speller BCI 预测轻度认知障碍
DOI：
10.11184/his.25.1_1
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
清水聰一郎
中科院分区：
文献类型：
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作者：
西澤侑里;田中久弥;都河明人;深澤雷太;佐藤友彦;清水聰一郎
随着预计到2050年全球痴呆症患者的数量将接近1.15亿，预计将开发简单的早期诊断工具，为痴呆症患者数量的快速增长做好准备。因此，我们正在开发一个使用字符输入型BCI(脑机接口)的痴呆症筛查工具。我们的研究组已经观察到拼写错误距离值(SEDV)的增加导致认知能力下降，但我们没有发现认知正常组(CU组)和轻度认知障碍组(MCI组)之间的统计学差异，这是早期诊断所必需的。在这项研究中，我们专注于Tsallis熵和一致性来识别解释CU组、MCI组和阿尔茨海默病患者(AD组)的脑电特征。对55名参与者的数据进行了分析。神经心理测试的MMSE在CU组、MCI组和AD组分别为28.20、27.38和22.04。结果表明，随着认知水平的下降，Tsallis熵降低，连贯性增强。在CU组和MCI组之间的多次比较中证实了显著的差异(P<；0.1和P<；0.05)，表明从CU到MCI的进展是可以预测的。
With the number of dementia patients worldwide projected to approach 115 million by 2050, the development of simple early diagnosis tools to prepare for the rapid increase in the number of dementia patients is expected. Therefore, we are developing a dementia screening tool using a character input type BCI (Brain-Computer Interface). Our research group has already observed cognitive decline from an increase in Spelling-Error Distance Value (SEDV), but we did not find a statistically significant difference between the group with cognitively unimpaired participants (CU group) and the group with mild cognitive impairment (MCI group), which is necessary for early diagnosis. In this study, we focused on Tsallis entropy and coherence to identify EEG features that explain CU group, MCI group, and Alzheimer's disease patients (AD group). The data from 55 participants were analyzed. The MMSE, a measure of neuropsychological testing, was 28.20, 27.38, and 22.04 for the CU, MCI, and AD groups. The results showed that Tsallis entropy decreased and coherence increased with cognitive decline. Significant differences (p< 0.1 and p< 0.05) were confirmed in multiple comparisons between the CU and MCI groups for both indices, indicating that progression from CU to MCI was predictable.