Combining motion performance with EEG for diagnosis of mild cognitive impairment: a new perspective

作者：Xianglong Wan, Shuqin Xing, Yifan Zhang, Dingna Duan, Tiange Liu, Danyang Li, Hao Yu, Wen Dong · 发表于：Frontiers in Neuroscience · 年份：2024 · DOI：10.3389/fnins.2024.1476730 · 被引用次数：2 · 研究领域：Dementia and Cognitive Impairment Research、Neurobiology of Language and Bilingualism、EEG and Brain-Computer Interfaces

The prevalence of mild cognitive impairment (MCI) is rapidly increasing with the growing global elderly population.Approximately 15% to 20% of individuals aged 65 and above suffer from MCI (Petersen et al., 2018). Nowadays, the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are commonly used scales for MCI detection (Nasreddine et al., 2005;Ciesielska et al., 2016). Except for the scales, the fluid biomarkers, such as plasma phospho-tau217 and total-tau in cerebrospinal fluid, can also be used for MCI detection (Olsson et al., 2016;Palmqvist et al., 2020;Moscoso et al., 2021). Even though the diagnosis of MCI based on these biomarkers demonstrates outstanding accuracy and stability, it is not without its limitations. Lumbar puncture stands as a frequently conducted invasive procedure in clinical practice, utilized for the extraction of cerebrospinal fluid samples (Doherty and Forbes, 2014). It requires a relatively long postoperative recovery time and may lead to complications, such as headache, cranial nerve palsy, and reversible tonsillar descent. (Evans, 1998).Although the main symptom of MCI is memory impairment, motor dysfunction has been previously described as a common characteristic in the patients with cognitive impairments (Montero-Odasso et al., 2014). In comparison to normal subjects, individuals with MCI exhibit differences in some motions, such as walking and balance. According to Shin et al. (2011); Rosenberg et al. (2023), mo...