Sex differences and menstrual cycle effects in cognitive and sensory resting state networks.


Journal

Brain and cognition
ISSN: 1090-2147
Titre abrégé: Brain Cogn
Pays: United States
ID NLM: 8218014

Informations de publication

Date de publication:
04 2019
Historique:
received: 28 04 2017
revised: 24 08 2017
accepted: 05 09 2017
pubmed: 17 10 2017
medline: 28 7 2019
entrez: 15 10 2017
Statut: ppublish

Résumé

It has not yet been established if resting state (RS) connectivity reflects stable characteristics of the brain, or if it is modulated by the psychological and/or physiological state of the participant. Based on research demonstrating sex hormonal effects in task-related brain activity, the present study aimed to investigate corresponding differences in RS networks. RS functional Magnetic Resonance Imaging (RS fMRI) was conducted in women during three different menstrual cycle phases, while men underwent three repeated RS fMRI testing sessions. Independent component analysis was used to identify the default mode network (DMN) and an auditory RS network. For the DMN, RS connectivity was stable across testing sessions in men, but varied across the menstrual cycle in women. For the auditory network (AN), retest reliable sex difference was found. Although RS activity in the DMN has been interpreted as trait characteristic of functional brain organization, these findings suggest that RS activity in networks involving frontal areas might be less stable than in sensory-based networks and can dynamically fluctuate. This also implies that some of the previously reported effects of sex hormones on task-related activity might to some extent be mediated by cycle-related fluctuations in RS activity, especially when frontal areas are involved.

Identifiants

pubmed: 29030069
pii: S0278-2626(17)30183-5
doi: 10.1016/j.bandc.2017.09.003
pii:
doi:

Substances chimiques

Progesterone 4G7DS2Q64Y
Estradiol 4TI98Z838E

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

66-73

Informations de copyright

Copyright © 2017 Elsevier Inc. All rights reserved.

Auteurs

Susanne Weis (S)

Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany; Department of Psychology, Durham University, UK; Durham University Neuroimaging Centre (DUNIC), UK. Electronic address: S.Weis@fz-juelich.de.

Sophie Hodgetts (S)

Department of Psychology, Durham University, UK; Durham University Neuroimaging Centre (DUNIC), UK.

Markus Hausmann (M)

Department of Psychology, Durham University, UK; Durham University Neuroimaging Centre (DUNIC), UK.

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Classifications MeSH