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Title: Sexual Dimorphism of Resting-State Network Connectivity in Healthy Ageing.
Austin Authors: Jamadar, Sharna D;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
Affiliation: Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
ARC Centre of Excellence for Integrative Brain Function, Monash University, Clayton, Victoria, Australia
Monash Institute for Cognitive and Clinical Neurosciences, Monash University, Clayton, Victoria, Australia
CSIRO eHealth Research Centre, Herston, Brisbane, Queensland, Australia
School of Psychology, University of Newcastle, Callaghan, New South Wales, Australia
Department of Epidemiology and Preventive Medicine, Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Victoria, Australia
Behavioural Neuroscience, Florey Institute for Neuroscience and Mental Health, Melbourne Brain Centre, Heidelberg, Victoria, Australia
Department of Aged Care Services, Austin Health, Heidelberg, Victoria, Australia
The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia
Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
Monash Ageing Research Centre (MONARC), The Kingston Centre, Cheltenham, Victoria, Australia
Department of Neuroscience (Medicine), Monash University, Alfred Hospital Campus, Melbourne, Victoria, Australia
Issue Date: 2019
Date: 2018-02-17
Publication information: The journals of gerontology. Series B, Psychological sciences and social sciences 2019; 74(7): 1121-1131
Abstract: 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. 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. 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. 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.
DOI: 10.1093/geronb/gby004
Journal: The journals of gerontology. Series B, Psychological sciences and social sciences
PubMed URL: 29471348
Type: Journal Article
Appears in Collections:Journal articles

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