Measuring Spectral Power to Potentially Measure Correlations in the MMSE Test
DOI:
https://doi.org/10.58445/rars.2017Keywords:
Alzheimer’s disease, Spectral power, EEG, MMSE Test, frontotemporal dementiaAbstract
Alzheimer’s disease and frontotemporal dementia are two types of neurological diseases claiming victims across the world. EEG offers a unique solution to this problem. This paper will explore the correlation between patient’s power density spectral values within frequency bands and MMSE scores to possibly determine a correlation regarding cognitive decline to predict neurological diseases within patients. A statistical analysis was performed on an EEG dataset from an MDPI article containing three patient samples (Alzheimer’s, frontotemporal dementia, and healthy controls). The data was processed into Google Sheets, where a two-sample unequal variance test was performed to measure the statistical difference between Alzheimer’s patients vs. healthy controls and frontotemporal dementia patients vs. healthy controls. The results show an interesting potential for EEG metrics in the potential prediction of neurological diseases.
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