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Association of EEG, MRI, and regional blood flow biomarkers is predictive of prodromal Alzheimer’s disease

Authors Moretti D

Received 28 July 2015

Accepted for publication 16 September 2015

Published 27 October 2015 Volume 2015:11 Pages 2779—2791

DOI https://doi.org/10.2147/NDT.S93253

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Xiang Mou

Peer reviewer comments 2

Editor who approved publication: Dr Roger Pinder

Davide Vito Moretti

IRCCS S Giovanni di Dio Fatebenefratelli, Brescia, Italy


Background: Thinning in the temporoparietal cortex, hippocampal atrophy, and a lower regional blood perfusion is connected with prodromal stage of Alzheimer’s disease (AD). Of note, an increase of electroencephalography (EEG) upper/low alpha frequency power ratio has also been associated with these major landmarks of prodromal AD.
Methods: Clinical and neuropsychological assessment, EEG recording, and high-resolution three-dimensional magnetic resonance imaging were done in 74 grown up subjects with mild cognitive impairment. This information was gathered and has been assessed 3 years postliminary. EEG recording and perfusion single-photon emission computed tomography assessment was done in 27 subjects. Alpha3/alpha2 frequency power ratio, including cortical thickness, was figured for every subject. Contrasts in cortical thickness among the groups were assessed. Pearson’s r relationship coefficient was utilized to evaluate the quality of the relationship between cortical thinning, brain perfusion, and EEG markers.
Results: The higher alpha3/alpha2 frequency power ratio group corresponded with more prominent cortical decay and a lower perfusional rate in the temporoparietal cortex. In a subsequent meetup after 3 years, these patients had AD.
Conclusion: High EEG upper/low alpha power ratio was connected with cortical diminishing and lower perfusion in the temporoparietal brain area. The increase in EEG upper/low alpha frequency power ratio could be helpful in recognizing people in danger of conversion to AD dementia and this may be quality information in connection with clinical assessment.

Keywords: electroencephalography, mild cognitive impairment, hippocampal volume, brain rhythms, biomarkers

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