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

Stumme, Johanna; Jockwitz, Christiane; Hoffstaedter, Felix; Amunts, Katrin; Caspers, Svenja

doi:10.1016/j.neuroimage.2020.116756

Cited by 88 publications

(148 citation statements)

References 126 publications

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“…This was especially seen for the DMN, together with stable RSFC in this group of older adults. This finding was corroborated in another study on the same cohort but using a graph-theoretical approach [82], as well as by investigation of other cohorts and by using seed-based analyses (age ranges: 64-85 years [33]; 69-85 years [74]). Other studies, contrarily, showed further decreases in RSFC for the DMN during older ages (64-91 years [40]; 50-95 [95]), but only for the anterior part of the DMN, while the posterior DMN showed increases or remained stable during older ages.…”

Section: Differences In Rsfc Within the Older Adult Populationsupporting

confidence: 58%

“…Regarding the primary processing networks, Siman-Tov et al [74], Stumme et al [82] and Huang et al [34] could show a decrease in RSFC particularly within primary processing networks, i.e. somatomotor and/or visual networks.…”

Section: Differences In Rsfc Within the Older Adult Populationmentioning

confidence: 96%

“…increased RSFC between the DMN and higher order networks as well as between subcortical and temporal networks, together with decreases in RSFC between anterior and posterior DMN, ventral and dorsal attention networks as well as ventral attention network and somatomotor network. Contrarily, Stumme et al [83] found increased connectivity between the somatomotor network and higher order networks, but RSFC decreases between the somatomotor and visual network. The higher internetwork communications have been interpreted as an attempt to compensate for the decline of primary processing networks to maintain mental abilities as stable as possible from early to late adulthood.…”

Section: Differences In Rsfc Within the Older Adult Populationmentioning

confidence: 96%

See 2 more Smart Citations

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

Jockwitz

Caspers

2021

Pflugers Arch - Eur J Physiol

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Resting-state functional connectivity (RSFC) has widely been used to examine reorganization of functional brain networks during normal aging. The extraction of generalizable age trends, however, is hampered by differences in methodological approaches, study designs and sample characteristics. Distinct age ranges of study samples thereby represent an important aspect between studies especially due to the increase in inter-individual variability over the lifespan. The current review focuses on comparing age-related differences in RSFC in the course of the whole adult lifespan versus later decades of life. We summarize and compare studies assessing age-related differences in within- and between-network RSFC of major resting-state brain networks. Differential effects of the factor age on resting-state networks can be identified when comparing studies focusing on younger versus older adults with studies investigating effects within the older adult population. These differential effects pertain to higher order and primary processing resting-state networks to a varying extent. Especially during later decades of life, other factors beyond age might come into play to understand the high inter-individual variability in RSFC.

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Section: Differences In Rsfc Within the Older Adult Populationsupporting

confidence: 58%

Section: Differences In Rsfc Within the Older Adult Populationmentioning

confidence: 96%

Section: Differences In Rsfc Within the Older Adult Populationmentioning

confidence: 96%

See 1 more Smart Citation

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

Jockwitz

Caspers

2021

Pflugers Arch - Eur J Physiol

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“…global functional connectivity strength, MST diameter, MST leaf fraction, PCC-DLPFC left and PCC-DLPFC right connectivity strength) were analyzed in separate linear regression models. As age, gender and IQ can be considered as confounders for delirium and network outcomes, we adjusted for center, age (if age was not the determinant), gender and IQ in the analyses ( Marcantonio, 2017 , Otte et al, 2015 , Stumme et al, 2020 , van Dellen et al, 2018 ). The associations of all seven risk factors combined on the five outcome measures, adjusted for center, gender and IQ, were studied with three different multivariable linear regression models.…”

Section: Methodsmentioning

confidence: 99%

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

Montfort

Slooter

Kant

et al. 2020

NeuroImage: Clinical

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“…Aging produces changes in the coupling between spontaneous oscillations of the blood oxygen level-dependent (BOLD) signal (Andrews-Hanna et al 2007;Damoiseaux et al 2008;Ferreira et al 2016), which is commonly termed functional connectivity (FC). FC decreases in advanced age within the default-mode network (Mevel et al 2013) as well as within the cingulo-opercular and fronto-parietal circuitries, while in visual and somatomotor networks both stability (Chan et al 2014;Geerligs et al 2015a) and reductions (Mowinckel et al 2012;Stumme et al 2020) have been found. FC increases have also been reported between left and right hippocampus (Salami et al 2014(Salami et al , 2016.…”

Section: Introductionmentioning

confidence: 95%

Role of dopamine and gray matter density in aging effects and individual differences of functional connectomes

et al. 2021

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With increasing age, functional connectomes become dissimilar across normal individuals, reflecting heterogenous aging effects on functional connectivity (FC). We investigated the distribution of these effects across the connectome and their relationship with age-related differences in dopamine (DA) D1 receptor availability and gray matter density (GMD). With this aim, we determined aging effects on mean and interindividual variance of FC using fMRI in 30 younger and 30 older healthy subjects and mapped the contribution of each connection to the patterns of age-related similarity loss. Aging effects on mean FC accounted mainly for the dissimilarity between connectomes of younger and older adults, and were related, across brain regions, to aging effects on DA D1 receptor availability. Aging effects on the variance of FC indicated a global increase in variance with advancing age, explained connectome dissimilarity among older subjects and were related to aging effects on variance of GMD. The relationship between aging and the similarity of connectomes can thus be partly explained by age differences in DA modulation and gray matter structure.

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

Cited by 88 publications

References 126 publications

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

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

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

Role of dopamine and gray matter density in aging effects and individual differences of functional connectomes

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