Cortical electrical activity changes in healthy aging using EEG-eLORETA analysis

• Published in: Neuroimage. Reports Vol. 2; no. 4; p. 100143
• Main Authors: Aoki, Yasunori, Hata, Masahiro, Iwase, Masao, Ishii, Ryouhei, Pascual-Marqui, Roberto D., Yanagisawa, Takufumi, Kishima, Haruhiko, Ikeda, Manabu
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2022; Elsevier
• Subjects: Aging; Correlation analysis; Cortical electrical activity; Electroencephalography (EEG); Exact low-resolution brain electromagnetic tomography (eLORETA); Right hemi-aging model; Aging; Right hemi-aging model; Electroencephalography (EEG); Correlation analysis; Exact low-resolution brain electromagnetic tomography (eLORETA); Cortical electrical activity
• ISSN: 2666-9560; 2666-9560
• DOI: 10.1016/j.ynirp.2022.100143

Brain aging causes loss of synaptic spines, neuronal apoptosis, and a reduction in neurotransmitter levels. These aging phenomena disturb cortical electrical activity and its synchronization with connected regions. Previous electroencephalography (EEG) studies reported an age-related decrease in electrical activity in the alpha frequency band at occipital, parietal, and temporal areas as well as a decrease in occipital delta activity. However, there is an ongoing debate about whether there is an increase or decrease of the activity in other frequency bands with aging due to inconsistent study findings. In this study, we aimed to detect age-related changes of cortical electrical activities in all five frequency bands (delta, theta, alpha, beta, and gamma) in a large sample of healthy subjects for the first time. Using eLORETA (exact low-resolution brain electromagnetic tomography) analysis, we applied an eLORETA source estimation method to resting-state EEG data in 147 healthy subjects (median age 55, IQR 26.5–67.0) to obtain cortical electrical activity and assessed age-related changes in this activity using correlation analysis with multiple comparison correction. The combination of the eLORETA source estimation method and correlation analysis implemented in eLORETA software detected age-related changes in specific cortical regions for each frequency band: (1) delta and theta cortical electrical activities decreased at the occipital area with age, (2) alpha cortical electrical activity decreased at the occipitoparietotemporal areas with age, (3) beta cortical electrical activity increased at the insula, sensorimotor area, supplementary motor area, premotor area, and right temporal areas with age (most significant correlation at the right insula), (4) gamma cortical electrical activity increased at the frontoparietal and left temporal areas with age. These findings extend previous EEG study findings and provide valuable information related to mechanisms of healthy aging. Overall, our findings revealed that even healthy aging greatly affects cortical electrical activities in a region-specific way.