Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants
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 de...
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| Veröffentlicht in: | NETWORK NEUROSCIENCE 2023, Vol.7 (1), p.351-376 |
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| creator | Mijalkov, Mite Veréb, Dániel Jamialahmadi, Oveis Canal-Garcia, Anna Gómez-Ruiz, Emiliano Vidal-Piñeiro, Didac Romeo, Stefano Volpe, Giovanni Pereira, Joana B. |
| description | 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 cross-sectional 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.
Alterations in the resting-state functional connectivity patterns are a hallmark of the aging process. However, there is little agreement on how sex affects these age-related functional trajectories. Here, we propose novel multilayer measures that capture the relationship between positive and negative connections. We show that they are more sensitive to sex-related changes in the whole-brain connectivity patterns and their topology throughout aging, when compared to standard connectivity and topological measures. Our results suggest that multilayer measures provide information on the interaction between sex and age that has not been previously explored, which leads to a more accurate evaluation of cognitive, structural, and cardiovascular risk factors, and provides new insights into the genetic influences on changes in functional connectivity that occur throughout aging. |
| doi_str_mv | 10.1162/netn_a_00286 |
| format | Article |
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Alterations in the resting-state functional connectivity patterns are a hallmark of the aging process. However, there is little agreement on how sex affects these age-related functional trajectories. Here, we propose novel multilayer measures that capture the relationship between positive and negative connections. We show that they are more sensitive to sex-related changes in the whole-brain connectivity patterns and their topology throughout aging, when compared to standard connectivity and topological measures. Our results suggest that multilayer measures provide information on the interaction between sex and age that has not been previously explored, which leads to a more accurate evaluation of cognitive, structural, and cardiovascular risk factors, and provides new insights into the genetic influences on changes in functional connectivity that occur throughout aging.</description><identifier>ISSN: 2472-1751</identifier><identifier>EISSN: 2472-1751</identifier><identifier>DOI: 10.1162/netn_a_00286</identifier><identifier>PMID: 37334001</identifier><language>eng</language><publisher>One Broadway, 12th Floor, Cambridge, Massachusetts 02142, USA: MIT Press</publisher><subject>Aging ; Annan medicin och hälsovetenskap ; Anti-correlations ; Basic Medicine ; Biobanks ; Brain ; Cardiovascular diseases ; Cognitive ability ; Functional connectivity ; Gender differences ; Gerontologi, medicinsk/hälsovetenskaplig inriktning ; Gerontology, specializing in Medical and Health Sciences ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Medicinska och farmaceutiska grundvetenskaper ; Multilayer networks ; Multilayers ; Network topologies ; Neural networks ; Neurodegenerative diseases ; Neurosciences ; Neurovetenskaper ; Other Medical Sciences ; Risk factors ; Sex differences</subject><ispartof>NETWORK NEUROSCIENCE, 2023, Vol.7 (1), p.351-376</ispartof><rights>2022 Massachusetts Institute of Technology.</rights><rights>2023. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). 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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 cross-sectional 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.
Alterations in the resting-state functional connectivity patterns are a hallmark of the aging process. However, there is little agreement on how sex affects these age-related functional trajectories. Here, we propose novel multilayer measures that capture the relationship between positive and negative connections. We show that they are more sensitive to sex-related changes in the whole-brain connectivity patterns and their topology throughout aging, when compared to standard connectivity and topological measures. 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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 cross-sectional 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.
Alterations in the resting-state functional connectivity patterns are a hallmark of the aging process. However, there is little agreement on how sex affects these age-related functional trajectories. Here, we propose novel multilayer measures that capture the relationship between positive and negative connections. We show that they are more sensitive to sex-related changes in the whole-brain connectivity patterns and their topology throughout aging, when compared to standard connectivity and topological measures. Our results suggest that multilayer measures provide information on the interaction between sex and age that has not been previously explored, which leads to a more accurate evaluation of cognitive, structural, and cardiovascular risk factors, and provides new insights into the genetic influences on changes in functional connectivity that occur throughout aging.</abstract><cop>One Broadway, 12th Floor, Cambridge, Massachusetts 02142, USA</cop><pub>MIT Press</pub><pmid>37334001</pmid><doi>10.1162/netn_a_00286</doi><tpages>26</tpages><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; SWEPUB Freely available online; PubMed Central Open Access; ProQuest Central |
| subjects | Aging Annan medicin och hälsovetenskap Anti-correlations Basic Medicine Biobanks Brain Cardiovascular diseases Cognitive ability Functional connectivity Gender differences Gerontologi, medicinsk/hälsovetenskaplig inriktning Gerontology, specializing in Medical and Health Sciences Medical and Health Sciences Medicin och hälsovetenskap Medicinska och farmaceutiska grundvetenskaper Multilayer networks Multilayers Network topologies Neural networks Neurodegenerative diseases Neurosciences Neurovetenskaper Other Medical Sciences Risk factors Sex differences |
| title | Sex differences in multilayer functional network topology over the course of aging in 37543 UK Biobank participants |
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