Relationships between Serotonin Transporter Availability and the Global Efficiency of the Executive Control Brain Network.


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
24 May 2024
Historique:
received: 29 03 2024
revised: 14 05 2024
accepted: 18 05 2024
medline: 19 6 2024
pubmed: 19 6 2024
entrez: 19 6 2024
Statut: epublish

Résumé

The diverse effects of serotonin on cognition may emerge from the modulation of large-scale brain networks that support distinct cognitive processes. Yet, the specific effect of serotoninergic modulation on the properties of these networks remains elusive. Here, we used a simultaneous PET-fMRI scanner combined with graph theory analyses to investigate the modulation of network properties by the Serotonin Transporter (SERT) availability measured in the dorsal raphe nucleus (DRN). We defined global efficiency as the average mean of efficiencies over all pairs of distinct nodes of specific brain networks, and determined whether SERT levels correlated with the global efficiency of each network. SERT availability in the DRN correlated negatively with the global efficiency of the executive control brain network, which is engaged in cognitive control and directed attention. No relationship was observed between SERT availability and the global efficiency of the default mode or the salience brain networks. These findings indicate a specific role of serotoninergic modulation in the executive control brain network via a change in its global efficiency.

Identifiants

pubmed: 38891901
pii: ijms25115713
doi: 10.3390/ijms25115713
pii:
doi:

Substances chimiques

Serotonin Plasma Membrane Transport Proteins 0
Serotonin 333DO1RDJY

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : LABEX CORTEX
ID : ANR-11-LABX-0042
Organisme : French National Research Agency
ID : ANR-11-IDEX-007
Organisme : IDEX-LYON from Université de Lyon (project INDEPTH) within the Programme Investissements d'Avenir
ID : ANR-16- IDEX-0005

Auteurs

Rémi Janet (R)

UMR5229, Neuroeconomics Laboratory, CNRS-Institut de Sciences Cognitives Marc Jeannerod, 69500 Lyon, France.

Edmund Derrington (E)

UMR5229, Neuroeconomics Laboratory, CNRS-Institut de Sciences Cognitives Marc Jeannerod, 69500 Lyon, France.

Jean-Claude Dreher (JC)

UMR5229, Neuroeconomics Laboratory, CNRS-Institut de Sciences Cognitives Marc Jeannerod, 69500 Lyon, France.

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Classifications MeSH