Default Mode Network and Neural Phase Synchronization in Healthy Aging: A Resting State EEG Study.


Journal

Neuroscience
ISSN: 1873-7544
Titre abrégé: Neuroscience
Pays: United States
ID NLM: 7605074

Informations de publication

Date de publication:
01 03 2022
Historique:
received: 12 05 2021
revised: 07 01 2022
accepted: 10 01 2022
pubmed: 21 1 2022
medline: 3 3 2022
entrez: 20 1 2022
Statut: ppublish

Résumé

Aging is associated with altered brain connectivity within the default mode network (DMN). Although research using functional magnetic resonance imaging has quantified age-related alterations in functional connectivity within this network during resting state, it is less clear how this may be reflected in electrophysiological measures, and how this relates to cognitive performance in older adults. The aim of this study was to quantify age differences in phase synchrony of the DMN during resting state, with particular focus on connectivity between the anterior node (i.e., medial prefrontal cortex, or mPFC) and other associated regions in this network. Electroencephalography was recorded from 55 younger adults (18-30 years, 28 females) and 34 older adults (64-88 years, 16 females) in two resting state conditions (eyes-open and -closed). Source-level functional connectivity was quantified using phase-locking value (PLV) with a spatial filter of six sources of interest, and were subjected to data-driven permutation testing between groups from 1 to 50 Hz. Older adults also completed tests of memory, language, executive functioning, and processing speed. Findings indicated decreased connectivity in the alpha2 range for older than younger adults between the mPFC and other DMN regions including the left angular gyrus and bilateral lateral temporal cortices, the latter of which were associated with lower performance in semantic fluency and executive functioning in older adults. Furthermore, greater PLV in theta and beta bands between the mPFC and posterior cingulate regions were found in older than younger adults. These results suggest age-related changes in DMN functional connectivity are non-uniform and frequency-dependent, and may reflect poorer performance in cognitive domains thought to decline with aging.

Identifiants

pubmed: 35051530
pii: S0306-4522(22)00015-X
doi: 10.1016/j.neuroscience.2022.01.008
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

116-128

Informations de copyright

Copyright © 2022 IBRO. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Ricky Chow (R)

Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada.

Rahel Rabi (R)

Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada.

Shahier Paracha (S)

Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada.

Lynn Hasher (L)

Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Ontario M5S 3G3, Canada.

Nicole D Anderson (ND)

Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Ontario M5S 3G3, Canada; Department of Psychiatry, University of Toronto, Ontario M5T 1R8, Canada.

Claude Alain (C)

Rotman Research Institute, Baycrest Centre, Toronto, Ontario M6A 2E1, Canada; Department of Psychology, University of Toronto, Ontario M5S 3G3, Canada; Institute of Medical Sciences, University of Toronto, Ontario M5S 1A8, Canada. Electronic address: calain@research.baycrest.org.

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Classifications MeSH