Literature DB >> 32201326

Functional network reorganization in older adults: Graph-theoretical analyses of age, cognition and sex.

Johanna Stumme1, Christiane Jockwitz2, Felix Hoffstaedter3, Katrin Amunts4, Svenja Caspers5.   

Abstract

Healthy aging has been associated with a decrease in functional network specialization. Importantly, variability of alterations of functional connectivity is especially high across older adults. Whole-brain functional network reorganization, though, and its impact on cognitive performance within particularly the older generation is still a matter of debate. We assessed resting state functional connectivity (RSFC) in 772 older adults (55-85 years, 421 males) using a graph-theoretical approach. Results show overall age-related increases of between- and decreases of within-network RSFC. With similar phenomena observed in young to middle-aged adults, i.e. that RSFC reorganizes towards more pronounced functional network integration, the current results amend such evidence for the old age. The results furthermore indicate that RSFC reorganization in older adults particularly pertain to early sensory networks (e.g. visual and sensorimotor network). Importantly, RSFC differences of these early sensory networks were found to be a relevant mediator in terms of the age-related cognitive performance differences. Further, we found systematic sex-related network differences with females showing patterns of more segregation (i.e. default mode and ventral attention network) and males showing a higher integrated network system (particularly for the sensorimotor network). These findings underpin the notion of sex-related connectivity differences, possibly facilitating sex-related behavioral functioning.
Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Cognition; Connectome; Education; Resting-state functional connectivity; Sex

Mesh:

Year:  2020        PMID: 32201326     DOI: 10.1016/j.neuroimage.2020.116756

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


  17 in total

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Authors:  C Jockwitz; L Wiersch; J Stumme; S Caspers
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Review 4.  Resting-state networks in the course of aging-differential insights from studies across the lifespan vs. amongst the old.

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8.  Brain Network Segregation and Glucose Energy Utilization: Relevance for Age-Related Differences in Cognitive Function.

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9.  Sex Differences in Functional Connectivity Between Resting State Brain Networks in Autism Spectrum Disorder.

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10.  fMRI network correlates of predisposing risk factors for delirium: A cross-sectional study.

Authors:  S J T van Montfort; A J C Slooter; I M J Kant; R R van der Leur; C Spies; J de Bresser; T D Witkamp; J Hendrikse; E van Dellen
Journal:  Neuroimage Clin       Date:  2020-07-15       Impact factor: 4.881

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