Literature DB >> 26721381

Older but still fluent? Insights from the intrinsically active baseline configuration of the aging brain using a data driven graph-theoretical approach.

Angela M Muller1, Susan Mérillat2, Lutz Jäncke3.   

Abstract

A major part of our knowledge about the functioning of the aging brain comes from task-induced activation paradigms. However, the aging brain's intrinsic functional organization may be already a limiting factor for the outcome of an actual behavior. In order to get a better understanding of how this functional baseline configuration of the aging brain may affect cognitive performance, we analyzed task-free fMRI data of older 186 participants (mean age=70.4, 97 female) and their performance data in verbal fluency: First, we conducted an intrinsic connectivity contrast analysis (ICC) for the purpose of evaluating the brain regions whose degree of connectedness was significantly correlated with fluency performance. Secondly, using connectivity analyses we investigated how the clusters from the ICC functionally related to the other major resting-state networks. Apart from the importance of intact fronto-parietal long-range connections, the preserved capacity of the DMN for a finely attuned interaction with the executive-control network and the language network seems to be crucial for successful verbal fluency performance in older people. We provide further evidence that the right frontal regions might be more prominently affected by age-related decline.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Compensation; Default mode network; Functional plasticity; HAROLD; Resting-state; fMRI

Mesh:

Year:  2015        PMID: 26721381     DOI: 10.1016/j.neuroimage.2015.12.027

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  8 in total

1.  Altered Insula Connectivity under MDMA.

Authors:  Ishan C Walpola; Timothy Nest; Leor Roseman; David Erritzoe; Amanda Feilding; David J Nutt; Robin L Carhart-Harris
Journal:  Neuropsychopharmacology       Date:  2017-02-14       Impact factor: 7.853

2.  Frequency-specific age-related decreased brain network diversity in cognitively healthy elderly: A whole-brain data-driven analysis.

Authors:  Wutao Lou; Defeng Wang; Adrian Wong; Winnie C W Chu; Vincent C T Mok; Lin Shi
Journal:  Hum Brain Mapp       Date:  2018-09-21       Impact factor: 5.038

3.  Resting-state and Vocabulary Tasks Distinctively Inform On Age-Related Differences in the Functional Brain Connectome.

Authors:  Perrine Ferré; Yassine Benhajali; Jason Steffener; Yaakov Stern; Yves Joanette; Pierre Bellec
Journal:  Lang Cogn Neurosci       Date:  2019-05-10       Impact factor: 2.331

4.  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

5.  Intrinsic functional connectivity reduces after first-time exposure to short-term gravitational alterations induced by parabolic flight.

Authors:  Angelique Van Ombergen; Floris L Wuyts; Ben Jeurissen; Jan Sijbers; Floris Vanhevel; Steven Jillings; Paul M Parizel; Stefan Sunaert; Paul H Van de Heyning; Vincent Dousset; Steven Laureys; Athena Demertzi
Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

Review 6.  Resting-state networks in the course of aging-differential insights from studies across the lifespan vs. amongst the old.

Authors:  C Jockwitz; S Caspers
Journal:  Pflugers Arch       Date:  2021-02-12       Impact factor: 3.657

Review 7.  Strategies and cognitive reserve to preserve lexical production in aging.

Authors:  Monica Baciu; Sonja Banjac; Elise Roger; Célise Haldin; Marcela Perrone-Bertolotti; Hélène Lœvenbruck; Jean-François Démonet
Journal:  Geroscience       Date:  2021-05-10       Impact factor: 7.713

8.  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

  8 in total

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