Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants
(2023) In Network Neuroscience 7(1). p.351-376- Abstract
Aging is a major risk factor for cardiovascular and neurodegenerative disorders, with considerable societal and economic implications. Healthy aging is accompanied by changes in functional connectivity between and within resting-state functional networks, which have been associated with cognitive decline. However, there is no consensus on the impact of sex on these age-related functional trajectories. Here, we show that multilayer measures provide crucial information on the interaction between sex and age on network topology, allowing for better assessment of cognitive, structural, and cardiovascular risk factors that have been shown to differ between men and women, as well as providing additional insights into the genetic influences on... (More)
Aging is a major risk factor for cardiovascular and neurodegenerative disorders, with considerable societal and economic implications. Healthy aging is accompanied by changes in functional connectivity between and within resting-state functional networks, which have been associated with cognitive decline. However, there is no consensus on the impact of sex on these age-related functional trajectories. Here, we show that multilayer measures provide crucial information on the interaction between sex and age on network topology, allowing for better assessment of cognitive, structural, and cardiovascular risk factors that have been shown to differ between men and women, as well as providing additional insights into the genetic influences on changes in functional connectivity that occur during aging. In a large crosssectional sample of 37,543 individuals from the UK Biobank cohort, we demonstrate that such multilayer measures that capture the relationship between positive and negative connections are more sensitive to sex-related changes in the whole-brain connectivity patterns and their topological architecture throughout aging, when compared to standard connectivity and topological measures. Our findings indicate that multilayer measures contain previously unknown information on the relationship between sex and age, which opens up new avenues for research into functional brain connectivity in aging.
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- author
- Mijalkov, Mite ; Veréb, Dániel ; Jamialahmadi, Oveis ; Canal-Garcia, Anna ; Gómez-Ruiz, Emiliano ; Vidal-Piñeiro, Didac ; Romeo, Stefano ; Volpe, Giovanni and Pereira, Joana B. LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Aging, Anti-correlations, Functional connectivity, Multilayer networks, Sex differences
- in
- Network Neuroscience
- volume
- 7
- issue
- 1
- pages
- 26 pages
- publisher
- MIT Press
- external identifiers
-
- scopus:85148486711
- pmid:37334001
- ISSN
- 2472-1751
- DOI
- 10.1162/netn_a_00286
- language
- English
- LU publication?
- yes
- id
- 4fab8891-5fd7-4163-8f7b-86b9fc945244
- date added to LUP
- 2023-03-07 14:11:37
- date last changed
- 2024-06-27 00:57:41
@article{4fab8891-5fd7-4163-8f7b-86b9fc945244,
abstract = {{<p>Aging is a major risk factor for cardiovascular and neurodegenerative disorders, with considerable societal and economic implications. Healthy aging is accompanied by changes in functional connectivity between and within resting-state functional networks, which have been associated with cognitive decline. However, there is no consensus on the impact of sex on these age-related functional trajectories. Here, we show that multilayer measures provide crucial information on the interaction between sex and age on network topology, allowing for better assessment of cognitive, structural, and cardiovascular risk factors that have been shown to differ between men and women, as well as providing additional insights into the genetic influences on changes in functional connectivity that occur during aging. In a large crosssectional sample of 37,543 individuals from the UK Biobank cohort, we demonstrate that such multilayer measures that capture the relationship between positive and negative connections are more sensitive to sex-related changes in the whole-brain connectivity patterns and their topological architecture throughout aging, when compared to standard connectivity and topological measures. Our findings indicate that multilayer measures contain previously unknown information on the relationship between sex and age, which opens up new avenues for research into functional brain connectivity in aging.</p>}},
author = {{Mijalkov, Mite and Veréb, Dániel and Jamialahmadi, Oveis and Canal-Garcia, Anna and Gómez-Ruiz, Emiliano and Vidal-Piñeiro, Didac and Romeo, Stefano and Volpe, Giovanni and Pereira, Joana B.}},
issn = {{2472-1751}},
keywords = {{Aging; Anti-correlations; Functional connectivity; Multilayer networks; Sex differences}},
language = {{eng}},
number = {{1}},
pages = {{351--376}},
publisher = {{MIT Press}},
series = {{Network Neuroscience}},
title = {{Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants}},
url = {{http://dx.doi.org/10.1162/netn_a_00286}},
doi = {{10.1162/netn_a_00286}},
volume = {{7}},
year = {{2023}},
}