Increased functional connectivity supports language performance in healthy aging despite gray matter loss.


Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
02 2021
Historique:
received: 10 03 2020
revised: 03 09 2020
accepted: 10 09 2020
pubmed: 28 11 2020
medline: 21 9 2021
entrez: 27 11 2020
Statut: ppublish

Résumé

Although language is quite preserved from aging, it remains unclear whether age-related differences lead to a deterioration or reorganization in language functional networks, or to different dynamics with other domains (e.g., the multiple-demand system). The present study is aimed at examining language networks, using resting-state functional magnetic resonance imaging in typical aging in relation to language performance. Twenty-three (23) younger adults and 24 healthy older adults were recruited. Volumetric gray matter differences between the 2 groups were assessed using voxel-based morphometry. Then, seed-based analyses, integrated local correlations in core regions of the language network, and within- and between-network connectivity were performed. We expected less extended connectivity maps, local coherence diminution, and higher connectivity with the multiple-demand system in older adults. On the contrary, analyses showed language network differences in healthy aging (i.e., increased connectivity with areas inside and outside language network), but no deterioration, despite widespread atrophy in older adults. Integrated local correlation revealed alterations that were unnoticeable with other analyses. Although gray matter loss was not correlated with language performance, connectivity differences were positively correlated with fluency performance in the older group. These results differ from the literature concerning other cognitive networks in aging in that they show extra internetwork connections without a decrease in intranetwork language connections. This reorganization could explain older adults' good language performance and could be interpreted in accordance with the scaffolding theory of aging and cognition.

Identifiants

pubmed: 33246137
pii: S0197-4580(20)30292-X
doi: 10.1016/j.neurobiolaging.2020.09.015
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

52-62

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Aurélie Pistono (A)

Octogone-Lordat Interdisciplinary Research Unit (EA 4156), University of Toulouse II-Jean Jaurès, Toulouse, France; Ghent University, Department of Experimental Psychology, Ghent, Belgium. Electronic address: aurelie.pistono@ugent.be.

Laura Guerrier (L)

Toulouse NeuroImaging Center, Toulouse University, Inserm, UPS, France.

Patrice Péran (P)

Toulouse NeuroImaging Center, Toulouse University, Inserm, UPS, France.

Marie Rafiq (M)

Neurology Department, Neuroscience Centre, Toulouse University Hospital, Toulouse, France.

Mélanie Giméno (M)

Octogone-Lordat Interdisciplinary Research Unit (EA 4156), University of Toulouse II-Jean Jaurès, Toulouse, France.

Catherine Bézy (C)

Neurology Department, Neuroscience Centre, Toulouse University Hospital, Toulouse, France.

Jérémie Pariente (J)

Ghent University, Department of Experimental Psychology, Ghent, Belgium; Neurology Department, Neuroscience Centre, Toulouse University Hospital, Toulouse, France.

Mélanie Jucla (M)

Octogone-Lordat Interdisciplinary Research Unit (EA 4156), University of Toulouse II-Jean Jaurès, Toulouse, France.

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