Literature DB >> 30144647

Resting-state EEG power and connectivity are associated with alpha peak frequency slowing in healthy aging.

Brian Scally1, Melanie Rose Burke1, David Bunce1, Jean-Francois Delvenne2.   

Abstract

The individual alpha peak frequency (IAPF) of the human electroencephalography (EEG) typically experiences slowing with increasing age. Despite this hallmark change, studies that investigate modulations of conventional EEG alpha power and connectivity by aging and age-related neuropathology neglect to account for intergroup differences in IAPF. To investigate the relationship of age-related IAPF slowing with EEG power and connectivity, we recorded eyes-closed resting-state EEG in 37 young adults and 32 older adults. We replicated the finding of a slowed IAPF in older adults. IAPF values were significantly correlated with the frequency of maximum global connectivity and the means of their distributions did not differ, suggesting that connectivity was highest at the IAPF. Older adults expressed reduced global EEG power and connectivity at the conventional upper alpha band (10-12 Hz) compared with young adults. By contrast, groups had equivalent power and connectivity at the IAPF. The results suggest that conventional spectral boundaries may be biased against older adults or any group with a slowed IAPF. We conclude that investigations of alpha activity in aging and age-related neuropathology should be adapted to the IAPF of the individual and that previous findings should be interpreted with caution. EEG in the dominant alpha range may be unsuitable for examining cortico-cortical connectivity due to its subcortical origins. Crown
Copyright © 2018. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Alpha; Connectivity; Dominant frequency slowing; EEG; Individual peak alpha frequency; Power; Resting state

Mesh:

Year:  2018        PMID: 30144647     DOI: 10.1016/j.neurobiolaging.2018.07.004

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


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