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  • European Journal of Investigation in Health, Psychology and Education is published by MDPI from Volume 10 Issue 1 (2020). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with University Association of Education and Psychology (ASUNIVEP).
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20 June 2014

Assessment of aging by cortical functional connectivity estimated through synchronization electroencephalographic measurements

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Departamento de Fisiología. Universidad de La Laguna. Carretera La Cuesta-Taco, s/n. C.P.: 38071. Tenerife (España)
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Abstract

This work was aimed to study the physiological cerebral aging from the analysis of functional electroencephalographic (EEG) connectivity between different cortical areas in two groups of healthy subjects between 50-65 years and between 66-80 years. With this purpose, digital monopolar EEG recordings were carried out at rest and closed eyes, taking as sampling rate, 256 Hz and as reference, the average of the 16 channels recorded (6-frontals, 4-temporals, 2-centrals, 2-parietal, 2-occipital). The functional cortical connectivity was estimated from the interdependence between channels using the coherence function in the frequency bands delta/theta/alpha/beta, and an index (L) of nonlinear generalized synchronization. The pairwise connectivity between all possible channels and a global connectivity between each channel and all others was computed. The results show that certain local interdependencies measured by the index L and by the delta band coherence, decreased with age; these were especially significant for the temporal-occipital-central connections. Moreover, a significant linear decrease with age of the interdependence indices aforementioned for the pair and local averages was observed. Also global interdependencies, especially those of nonlinear type, for certain central-lateral and posterior areas, decline with age. It is concludes that individual and global measures of EEG functional connectivity between certain brain areas can help to objectively evaluate the neurophysiological aging.

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