Neural network involving medial orbitofrontal cortex and dorsal periaqueductal gray regulation in human alcohol abuse
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
- Fudan University
- King's College London (KCL)
- Universität Heidelberg
- Trinity College Dublin
- Universität Hamburg
- Universität Mannheim
- Commissariat à l’énergie atomique et aux énergies alternatives (CEA)
- University of Vermont
- University of Nottingham
- Physikalisch-Technische Bundesanstalt
- École normale supérieure Paris-Saclay
- Assistance publique – Hôpitaux de Paris
- Universitätsklinikum Schleswig-Holstein Campus Kiel
- Georg-August-Universität Göttingen
- Charité – Universitätsmedizin Berlin
- Universität Potsdam
- University of Cambridge
- University of Warwick
- Zhejiang Normal University
- Berliner Institut für Gesundheitsforschung in der 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
Originalsprache | Englisch |
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Aufsatznummer | eabd4074 |
Fachzeitschrift | Science advances |
Jahrgang | 7 |
Ausgabenummer | 6 |
Publikationsstatus | Veröffentlicht - 3 Feb. 2021 |
Peer-Review-Status | Ja |
Externe IDs
PubMed | 33536210 |
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ORCID | /0000-0001-5398-5569/work/161890734 |
ORCID | /0000-0002-8493-6396/work/161891649 |