AN INTEGRATED MODEL BASED ON THE QEEG INDEX, AGE AND COGNITIVE FUNCTION FOR CORTISOL LEVEL ESTIMATION IN ELDERLY PEOPLE
Journal Title: Acta Neuropsychologica - Year 2019, Vol 17, Issue 2
Abstract
Cortisol is known to be correlated with cognition, aging, and quantitative electroencephalography (QEEG), although these factors have not yet been reported. This study aimed to evaluate an integrated model for estimating cortisol levels in elderly people.<br/><br/>Sixty-four participants were included. Saliva cortisol levels were measured by enzyme-linked immunosorbent assay (ELISA). Cognitive function was assessed by the Montreal Cognitive Assessment (MoCA). EEG recording was performed during the eyes-opened resting state condition. QEEG in five frequency bands and ten ratios were analyzed. Stepwise multiple linear regression was used to estimate cortisol levels based on the QEEG index, age and cognitive function.<br/><br/>The first model using the QEEG index estimated cortisol levels with an accuracy of 15.4%. The second model based on the QEEG index and age estimated cortisol levels with an accuracy of 24.3%. The third model based on the QEEG index and cognitive impairment estimated cortisol levels with an accuracy of 20.2%. The fourth model yielded the best results, estimating cortisol levels with an accuracy of 30.8%; this model was based on age, delayed recall and the QEEG index of the beta/high beta band at the central region and the delta/beta band at the left temporal region<br/><br/>An integrated model of the QEEG index, age and delayed recall can be used to estimate cortisol levels in elderly people, which could be possibly used to predict physiological and psychiatric changes in humans.<br/><br/>
Authors and Affiliations
Watchara Sroykham, Yodchanan Wongsawat
Keywords
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