Literature DB >> 32088317

Evidence of regional associations between age-related inter-individual differences in resting-state functional connectivity and cortical thinning revealed through a multi-level analysis.

Bruno Hebling Vieira1, Carlo Rondinoni2, Carlos Ernesto Garrido Salmon3.   

Abstract

Normal aging incurs functional and anatomical alterations in the brain. Cortical thinning, age-related alterations in resting-state functional connectivity (RSFC) and reductions in fractional amplitude of low frequency fluctuations (fALFF) are key components of brain aging that can be studied by neuroimaging. However, the level of association between these processes has not been fully established. We performed an analysis at multiple-levels, i.e. region or connection and modality, to investigate whether the evidence for the effect of aging on fALFF, RSFC and cortical thickness are associated in a large cohort. Our results show that there is a positive association between the level of evidence of age-related effects in all three in the brain. We also demonstrate that on a regional basis the association between RSFC alterations and cortical atrophy may be either positive or negative, which may relate to compensatory mechanisms predicted by the Scaffolding Theory of Aging and Cognition (STAC).
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain aging; Cortical atrophy; Functional connectivity; Resting-state; fMRI

Mesh:

Year:  2020        PMID: 32088317     DOI: 10.1016/j.neuroimage.2020.116662

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


  7 in total

1.  Age-related assessment of diffusion parameters in specific brain tracts correlated with cortical thinning.

Authors:  Maíra Siqueira Pinto; Antonio Carlos Dos Santos; Carlos Ernesto Garrido Salmon
Journal:  Neurol Sci       Date:  2020-09-04       Impact factor: 3.307

2.  Higher-order resting state network association with the useful field of view task in older adults.

Authors:  Cheshire Hardcastle; Hanna K Hausman; Jessica N Kraft; Alejandro Albizu; Nicole D Evangelista; Emanuel M Boutzoukas; Andrew O'Shea; Kailey Langer; Emily Van Van Etten; Pradyumna K Bharadwaj; Hyun Song; Samantha G Smith; Eric Porges; Steven T DeKosky; Georg A Hishaw; Samuel S Wu; Michael Marsiske; Ronald Cohen; Gene E Alexander; Adam J Woods
Journal:  Geroscience       Date:  2021-08-25       Impact factor: 7.713

3.  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

4.  Covariance and Correlation Analysis of Resting State Functional Magnetic Resonance Imaging Data Acquired in a Clinical Trial of Mindfulness-Based Stress Reduction and Exercise in Older Individuals.

Authors:  Abraham Z Snyder; Tomoyuki Nishino; Joshua S Shimony; Eric J Lenze; Julie Loebach Wetherell; Michelle Voegtle; J Philip Miller; Michael D Yingling; Daniel Marcus; Jenny Gurney; Jerrel Rutlin; Drew Scott; Lisa Eyler; Deanna Barch
Journal:  Front Neurosci       Date:  2022-03-18       Impact factor: 4.677

5.  Association of Age and Structural Brain Changes With Functional Connectivity and Executive Function in a Middle-Aged to Older Population-Based Cohort.

Authors:  Maximilian Schulz; Carola Mayer; Eckhard Schlemm; Benedikt M Frey; Caroline Malherbe; Marvin Petersen; Jürgen Gallinat; Simone Kühn; Jens Fiehler; Uta Hanning; Raphael Twerenbold; Christian Gerloff; Bastian Cheng; Götz Thomalla
Journal:  Front Aging Neurosci       Date:  2022-02-25       Impact factor: 5.750

6.  Individual prediction of hemispheric similarity of functional connectivity during normal aging.

Authors:  Yingteng Zhang
Journal:  Front Psychiatry       Date:  2022-09-26       Impact factor: 5.435

7.  Dynamic functional connectivity profile of the salience network across the life span.

Authors:  William Snyder; Lucina Q Uddin; Jason S Nomi
Journal:  Hum Brain Mapp       Date:  2021-07-26       Impact factor: 5.038

  7 in total

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