Sexual Dimorphism of Resting-State Network Connectivity in Healthy Ageing

Sharna Jamadar, Francesco Sforazzini, Parnesh Raniga, Nicholas J. Ferris, Bryan Paton, Michael J. Bailey, Amy Brodtmann, Paul A. Yates, Geoffrey A. Donnan, Stephanie A. Ward, Robyn L. Woods, Elsdon Storey, John J. McNeil, Gary F. Egan, on behalf of the ASPREE Investigator Group

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

OBJECTIVES: The onset of many illnesses is confounded with age and sex. Increasing age is a risk factor for the development of many illnesses, and sexual dimorphism influences brain anatomy, function, and cognition. Here, we examine frequency-specific connectivity in resting-state networks in a large sample (n = 406) of healthy aged adults. METHOD: We quantify frequency-specific connectivity in three resting-state networks known to be implicated in age-related decline: the default mode, dorsal attention, and salience networks, using multiband functional magnetic resonance imaging. Frequency-specific connectivity was quantified in four bands: low (0.015-0.027 Hz), moderately low (0.027-0.073 Hz), moderately high (0.073-0.198 Hz), and high (0.198-0.5 Hz) frequency bands, using mean intensity and spatial extent. Differences in connectivity between the sexes in each of the three networks were examined. RESULTS: Each network showed the largest intensity and spatial extent at low frequencies and smallest extent at high frequencies. Males showed greater connectivity than females in the salience network. Females showed greater connectivity than males in the default mode network. DISCUSSION: Results in this healthy aged cohort are compatible with those obtained in young samples, suggesting that frequency-specific connectivity, and differences between the sexes, are maintained into older age. Our results indicate that sex should be considered as an influencing factor in studies of resting-state connectivity.

Original languageEnglish
Pages (from-to)1121-1131
Number of pages11
JournalJournals of Gerontology - Series B Psychological Sciences and Social Sciences
Volume74
Issue number7
DOIs
Publication statusPublished - Oct 2019

Keywords

  • functional connectivity
  • fMRI
  • multiband fMRI
  • sex
  • resting-state

Cite this

Jamadar, Sharna ; Sforazzini, Francesco ; Raniga, Parnesh ; Ferris, Nicholas J. ; Paton, Bryan ; Bailey, Michael J. ; Brodtmann, Amy ; Yates, Paul A. ; Donnan, Geoffrey A. ; Ward, Stephanie A. ; Woods, Robyn L. ; Storey, Elsdon ; McNeil, John J. ; Egan, Gary F. ; on behalf of the ASPREE Investigator Group. / Sexual Dimorphism of Resting-State Network Connectivity in Healthy Ageing. In: Journals of Gerontology - Series B Psychological Sciences and Social Sciences. 2019 ; Vol. 74, No. 7. pp. 1121-1131.
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abstract = "OBJECTIVES: The onset of many illnesses is confounded with age and sex. Increasing age is a risk factor for the development of many illnesses, and sexual dimorphism influences brain anatomy, function, and cognition. Here, we examine frequency-specific connectivity in resting-state networks in a large sample (n = 406) of healthy aged adults. METHOD: We quantify frequency-specific connectivity in three resting-state networks known to be implicated in age-related decline: the default mode, dorsal attention, and salience networks, using multiband functional magnetic resonance imaging. Frequency-specific connectivity was quantified in four bands: low (0.015-0.027 Hz), moderately low (0.027-0.073 Hz), moderately high (0.073-0.198 Hz), and high (0.198-0.5 Hz) frequency bands, using mean intensity and spatial extent. Differences in connectivity between the sexes in each of the three networks were examined. RESULTS: Each network showed the largest intensity and spatial extent at low frequencies and smallest extent at high frequencies. Males showed greater connectivity than females in the salience network. Females showed greater connectivity than males in the default mode network. DISCUSSION: Results in this healthy aged cohort are compatible with those obtained in young samples, suggesting that frequency-specific connectivity, and differences between the sexes, are maintained into older age. Our results indicate that sex should be considered as an influencing factor in studies of resting-state connectivity.",
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author = "Sharna Jamadar and Francesco Sforazzini and Parnesh Raniga and Ferris, {Nicholas J.} and Bryan Paton and Bailey, {Michael J.} and Amy Brodtmann and Yates, {Paul A.} and Donnan, {Geoffrey A.} and Ward, {Stephanie A.} and Woods, {Robyn L.} and Elsdon Storey and McNeil, {John J.} and Egan, {Gary F.} and {on behalf of the ASPREE Investigator Group}",
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Sexual Dimorphism of Resting-State Network Connectivity in Healthy Ageing. / Jamadar, Sharna; Sforazzini, Francesco; Raniga, Parnesh; Ferris, Nicholas J.; Paton, Bryan; Bailey, Michael J.; Brodtmann, Amy; Yates, Paul A.; Donnan, Geoffrey A.; Ward, Stephanie A.; Woods, Robyn L.; Storey, Elsdon; McNeil, John J.; Egan, Gary F.; on behalf of the ASPREE Investigator Group.

In: Journals of Gerontology - Series B Psychological Sciences and Social Sciences, Vol. 74, No. 7, 10.2019, p. 1121-1131.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Sexual Dimorphism of Resting-State Network Connectivity in Healthy Ageing

AU - Jamadar, Sharna

AU - Sforazzini, Francesco

AU - Raniga, Parnesh

AU - Ferris, Nicholas J.

AU - Paton, Bryan

AU - Bailey, Michael J.

AU - Brodtmann, Amy

AU - Yates, Paul A.

AU - Donnan, Geoffrey A.

AU - Ward, Stephanie A.

AU - Woods, Robyn L.

AU - Storey, Elsdon

AU - McNeil, John J.

AU - Egan, Gary F.

AU - on behalf of the ASPREE Investigator Group

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AB - OBJECTIVES: The onset of many illnesses is confounded with age and sex. Increasing age is a risk factor for the development of many illnesses, and sexual dimorphism influences brain anatomy, function, and cognition. Here, we examine frequency-specific connectivity in resting-state networks in a large sample (n = 406) of healthy aged adults. METHOD: We quantify frequency-specific connectivity in three resting-state networks known to be implicated in age-related decline: the default mode, dorsal attention, and salience networks, using multiband functional magnetic resonance imaging. Frequency-specific connectivity was quantified in four bands: low (0.015-0.027 Hz), moderately low (0.027-0.073 Hz), moderately high (0.073-0.198 Hz), and high (0.198-0.5 Hz) frequency bands, using mean intensity and spatial extent. Differences in connectivity between the sexes in each of the three networks were examined. RESULTS: Each network showed the largest intensity and spatial extent at low frequencies and smallest extent at high frequencies. Males showed greater connectivity than females in the salience network. Females showed greater connectivity than males in the default mode network. DISCUSSION: Results in this healthy aged cohort are compatible with those obtained in young samples, suggesting that frequency-specific connectivity, and differences between the sexes, are maintained into older age. Our results indicate that sex should be considered as an influencing factor in studies of resting-state connectivity.

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KW - fMRI

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