Abstract
The number of dementia patients is growing and has become a social issue. Early detection and treatment of dementia can slow the progression of symptoms and restore health. As a result, early detection is critical for dementia treatment. However, many dementia patients are hesitant to visit hospitals. In our lab, we are working on a dementia screening tool that will use the P300-based Spelling-brain-computer interface (Spelling-BCI) to aid in early dementia diagnosis. We believe that an easy cognitive function test with Spelling-BCI can be realized by estimating the results of neuropsychological examinations that must be performed by a specialist with BCI. We focused on the asymmetry of EEG frequency components in the parietal-posterior-temporal region of the EEG data in this study and compared the analysis results for each cognitive function decline level as determined by Mini-Mental State Examination (MMSE) scores. The outcomes were compared. As a result, there was a significant difference between the dementia and non-dementia groups in the asymmetry of α1 wave (8-10 Hz) and θ wave (4-8 Hz) components in the parietal-posterior-temporal region. As a result, it was proposed that asymmetry of the α1 and θ wave components is a reliable indicator of cognitive function decline.
