Literature DB >> 33246137

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

Aurélie Pistono1, Laura Guerrier2, Patrice Péran2, Marie Rafiq3, Mélanie Giméno4, Catherine Bézy3, Jérémie Pariente5, Mélanie Jucla4.   

Abstract

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.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Functional connectivity; Language; Resting-state; fMRI

Year:  2020        PMID: 33246137     DOI: 10.1016/j.neurobiolaging.2020.09.015

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


  5 in total

1.  Brain Structure and Function Predict Adherence to an Exercise Intervention in Older Adults.

Authors:  Timothy P Morris; Agnieszka Burzynska; Michelle Voss; Jason Fanning; Elizabeth A Salerno; Ruchika Prakash; Neha P Gothe; Susan Whitfield-Gabrieli; Charles H Hillman; Edward McAuley; Arthur F Kramer
Journal:  Med Sci Sports Exerc       Date:  2022-04-25

2.  Language Network Connectivity Increases in Early Alzheimer's Disease.

Authors:  Aurélie Pistono; Mehdi Senoussi; Laura Guerrier; Marie Rafiq; Mélanie Giméno; Patrice Péran; Mélanie Jucla; Jérémie Pariente
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

3.  Person-Based Similarity Index for Cognition and Its Neural Correlates in Late Adulthood: Implications for Cognitive Reserve.

Authors:  Anna West; Noah Hamlin; Sophia Frangou; Tony W Wilson; Gaelle E Doucet
Journal:  Cereb Cortex       Date:  2022-01-10       Impact factor: 4.861

4.  Use of machine learning to identify functional connectivity changes in a clinical cohort of patients at risk for dementia.

Authors:  Ying Shen; Qian Lu; Tianjiao Zhang; Hailang Yan; Negar Mansouri; Karol Osipowicz; Onur Tanglay; Isabella Young; Stephane Doyen; Xi Lu; Xia Zhang; Michael E Sughrue; Tong Wang
Journal:  Front Aging Neurosci       Date:  2022-09-01       Impact factor: 5.702

5.  The functional connectivity of language network across the life span: Disentangling the effects of typical aging from Alzheimer's disease.

Authors:  Marie Rafiq; Mélanie Jucla; Laura Guerrier; Patrice Péran; Jérémie Pariente; Aurélie Pistono
Journal:  Front Aging Neurosci       Date:  2022-09-23       Impact factor: 5.702

  5 in total

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