Document Type

Journal Article

Publication Title

Journal of Alzheimer's Disease

Volume

100

Issue

2

First Page

453

Last Page

468

PubMed ID

38875030

Publisher

IOS Press

School

Centre for Precision Health

Funders

Universidad Complutense de Madrid / Universidad Señor de Sipán

Grant Number

CT42/18-CT43/18, CT63/19-CT64/19, 235-2018-FONDECYT

Comments

Chino, B., López-Sanz, D., Doval, S., Torres-Simón, L., de Frutos Lucas, J., Giménez-Llort, L., ... & Maestú, F. (2024). Resting state electrophysiological profiles and their relationship with cognitive performance in cognitively unimpaired older adults: A systematic review. Journal of Alzheimer's Disease, 100(2), 453-468. https://doi.org/10.3233/JAD-231009

Abstract

Background: Aging is a complex and natural process. The physiological decline related to aging is accompanied by a slowdown in cognitive processes, which begins shortly after individuals reach maturity. These changes have been sometimes interpreted as a compensatory sign and others as a fingerprint of deterioration. Objective: In this context, our aim is to uncover the mechanisms that underlie and support normal cognitive functioning in the brain during the later stages of life. Methods: With this purpose, a systematic literature search was conducted using PubMed, Scopus, and Web of Science databases, which identified 781 potential articles. After applying inclusion and exclusion criteria, we selected 12 studies that examined the brain oscillations patterns in resting-state conditions associated with cognitive performance in cognitively unimpaired older adults. Results: Although cognitive healthy aging was characterized differently across studies, and various approaches to analyzing brain activity were employed, our review indicates a relationship between alpha peak frequency (APF) and improved performance in neuropsychological scores among cognitively unimpaired older adults. Conclusions: A higher APF is linked with a higher score in intelligence, executive function, and general cognitive performance, and could be considered an optimal, and easy-to-assess, electrophysiological marker of cognitive health in older adults.

DOI

10.3233/JAD-231009

Creative Commons License

Creative Commons Attribution-Noncommercial 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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Neurosciences Commons

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