Unraveling the Risk Landscape of Mild Cognitive Impairment: A Pilot QEEG Study With Z-Score and Cordance Analysis
DOI:
https://doi.org/10.15540/nr.11.3.274Keywords:
QEEG, Mild Cognitive Impairment, z-score, cordance, sLORETAAbstract
Introduction. Mild cognitive impairment (MCI) is the decline in cognitive function among individuals aged over 60, and the transitional phase between normal aging and dementia. The Mini-Mental State Examination and Montreal Cognitive Assessment (MoCA) may not detect early dementia, hence the importance of identifying MCI or early dementia through biomarkers, such as EEG. Objectives. Evaluating EEG quantification in raw values, EEG quantification in z-scores, and cordance measures as potential differential biomarkers to discriminate MCI. Method. The study involved 20 subjects; 10 healthy individuals and 10 with memory complaints. An EEG was obtained from each participant and raw scores, z-scores, cordance, and three-dimensional data were analyzed. Results. No differences were found in absolute power in raw scores, three-dimensional analysis and cordance variables. A significant difference was found between the groups regarding the Delta1 z-scores at the F7 location, where the memory complaints group exhibited a higher z-score. Conclusions. Normalized EEG quantification data, converted into z-scores, could serve as potential markers to distinguish between cognitively healthy individuals and those at risk of MCI. Using qEEG normative databases may reveal useful differences for identifying subjects at risk of MCI. Further research into intermediate states, between normal cognitive function and established MCI, is needed to clarify this aspect.
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