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Resting-state prefrontal EEG biomarkers in correlation with MMSE scores in elderly individuals. | LitMetric

AI Article Synopsis

  • The study focused on how cognitive decline in older adults could be linked to resting-state EEG biomarkers in the prefrontal regions, specifically analyzing changes in EEG oscillations.
  • A total of 496 participants were tested using the Mini-Mental State Examination (MMSE) and classified into three groups based on their scores, revealing that EEG slowing biomarkers decreased as cognitive function declined.
  • The researchers also developed a prediction model for MMSE scores based on EEG data, achieving a strong correlation between EEG slowing and cognitive decline, suggesting these biomarkers could help in screening for cognitive impairment in elderly individuals.

Article Abstract

We investigated whether cognitive decline could be explained by resting-state electroencephalography (EEG) biomarkers measured in prefrontal regions that reflect the slowing of intrinsic EEG oscillations. In an aged population dwelling in a rural community (total = 496, males = 165, females = 331), we estimated the global cognitive decline using the Mini-Mental State Examination (MMSE) and measured resting-state EEG parameters at the prefrontal regions of Fp1 and Fp2 in an eyes-closed state. Using a tertile split method, the subjects were classified as T3 (MMSE 28-30, N = 162), T2 (MMSE 25-27, N = 179), or T1 (MMSE ≤ 24, N = 155). The EEG slowing biomarkers of the median frequency, peak frequency and alpha-to-theta ratio decreased as the MMSE scores decreased from T2 to T1 for both sexes (-5.19 ≤ t-value ≤ -3.41 for males and -7.24 ≤ t-value ≤ -4.43 for females) after adjusting for age and education level. Using a double cross-validation procedure, we developed a prediction model for the MMSE scores using the EEG slowing biomarkers and demographic covariates of sex, age and education level. The maximum intraclass correlation coefficient between the MMSE scores and model-predicted values was 0.757 with RMSE = 2.685. The resting-state EEG biomarkers showed significant changes in people with early cognitive decline and correlated well with the MMSE scores. Resting-state EEG slowing measured in the prefrontal regions may be useful for the screening and follow-up of global cognitive decline in elderly individuals.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639387PMC
http://dx.doi.org/10.1038/s41598-019-46789-2DOI Listing

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