Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Fudan University
  • King's College London (KCL)
  • Heidelberg University 
  • Trinity College Dublin
  • University of Hamburg
  • University of Mannheim
  • French Alternative Energies and Atomic Energy Commission (CEA)
  • University of Vermont
  • University of Nottingham
  • Physikalisch-Technische Bundesanstalt
  • École normale supérieure Paris-Saclay
  • Assistance publique – Hôpitaux de Paris
  • University Hospital Schleswig-Holstein Campus Kiel
  • University of Göttingen
  • Charité – Universitätsmedizin Berlin
  • University of Potsdam
  • University of Cambridge
  • University of Warwick
  • Zhejiang Normal University
  • Berlin Institute of Health at Charité

Abstract

Prompted by recent evidence of neural circuitry in rodent models, functional magnetic resonance imaging and functional connectivity analyses were conducted for a large adolescent population at two ages, together with alcohol abuse measures, to characterize a neural network that may underlie the onset of alcoholism. A network centered on the medial orbitofrontal cortex (mOFC), as well as including the dorsal periaqueductal gray (dPAG), central nucleus of the amygdala, and nucleus accumbens, was identified, consistent with the rodent models, with evidence of both inhibitory and excitatory coregulation by the mOFC over the dPAG. Furthermore, significant relationships were detected between raised baseline excitatory coregulation in this network and impulsivity measures, supporting a role for negative urgency in alcohol dependence.

Details

Original languageEnglish
Article numbereabd4074
JournalScience advances
Volume7
Issue number6
Publication statusPublished - 3 Feb 2021
Peer-reviewedYes

External IDs

PubMed 33536210
ORCID /0000-0001-5398-5569/work/161890734
ORCID /0000-0002-8493-6396/work/161891649

Keywords

ASJC Scopus subject areas