Effects of four-week intranasal oxytocin administration on large-scale brain networks in older adults.


Journal

Neuropharmacology
ISSN: 1873-7064
Titre abrégé: Neuropharmacology
Pays: England
ID NLM: 0236217

Informations de publication

Date de publication:
23 Aug 2024
Historique:
received: 15 02 2024
revised: 18 07 2024
accepted: 20 08 2024
medline: 26 8 2024
pubmed: 26 8 2024
entrez: 25 8 2024
Statut: aheadofprint

Résumé

Oxytocin (OT) is a crucial modulator of social cognition and behavior. Previous work primarily examined effects of acute intranasal oxytocin administration (IN-OT) in younger males on isolated brain regions. Not well understood are (i) chronic IN-OT effects, (ii) in older adults, (iii) on large-scale brain networks, representative of OT's wider-ranging brain mechanisms. To address these research gaps, 60 generally healthy older adults (mean age = 70.12 years, range = 55-83) were randomly assigned to self-administer either IN-OT or placebo twice daily via nasal spray over four weeks. Chronic IN-OT reduced resting-state functional connectivity (rs-FC) of both the right insula and the left middle cingulate cortex with the salience network but enhanced rs-FC of the left medial prefrontal cortex with the default mode network as well as the left thalamus with the basal ganglia-thalamus network. No significant chronic IN-OT effects were observed for between-network rs-FC. However, chronic IN-OT increased selective rs-FC of the basal ganglia-thalamus network with the salience network and the default mode network, indicative of more specialized, efficient communication between these networks. Directly comparing chronic vs. acute IN-OT, reduced rs-FC of the right insula with the salience network and between the default mode network and the basal ganglia-thalamus network, and greater selective rs-FC of the salience network with the default mode network and the basal ganglia-thalamus network, were more pronounced after chronic than acute IN-OT. Our results delineate the modulatory role of IN-OT on large-scale brain networks among older adults.

Identifiants

pubmed: 39182569
pii: S0028-3908(24)00299-5
doi: 10.1016/j.neuropharm.2024.110130
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110130

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:

Auteurs

Peiwei Liu (P)

Department of Psychology, University of Florida, Gainesville, FL, USA, 32611. Electronic address: peiweiliu@ufl.edu.

Tian Lin (T)

Department of Psychology, University of Florida, Gainesville, FL, USA, 32611.

Håkan Fischer (H)

Department of Psychology, Stockholm University, Stockholm, Sweden, SE-106 91; Stockholm University Brain Imaging Centre (SUBIC), Stockholm University, Stockholm, Sweden, SE-106 91; Aging Research Centre, Karolinska Institute, Stockholm, Sweden, SE-171 77 Stockholm.

David Feifel (D)

Department of Psychiatry, University of California, San Diego, CA, USA, 92093.

Natalie C Ebner (NC)

Department of Psychology, University of Florida, Gainesville, FL, USA, 32611; Institute on Aging, University of Florida, Gainesville, FL, USA, 32611; Center for Cognitive Aging and Memory, University of Florida, Gainesville, FL, USA, 32610. Electronic address: natalie.ebner@ufl.edu.

Classifications MeSH