Mesolimbic dopamine function is related to salience network connectivity: an integrative PET and MR study

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Title: Mesolimbic dopamine function is related to salience network connectivity: an integrative PET and MR study
Authors: McCutcheon, RA
Nour, MM
Dahoun, T
Jauhar, S
Pepper, F
Expert, P
Veronese, M
Adams, RA
Turkheimer, F
Mehta, MA
Howes, O
Item Type: Journal Article
Abstract: Background A wide range of neuropsychiatric disorders, from schizophrenia to drug addiction, involve abnormalities in both the mesolimbic dopamine system and the cortical salience network. Both systems play a key role in the detection of behaviorally relevant environmental stimuli. Although anatomical overlap exists, the functional relationship between these systems remains unknown. Preclinical research has suggested that the firing of mesolimbic dopamine neurons may activate nodes of the salience network, but in vivo human research is required given the species-specific nature of this network. Methods We employed positron emission tomography to measure both dopamine release capacity (using the D2/3 receptor ligand 11C-PHNO, n = 23) and dopamine synthesis capacity (using 18F-DOPA, n = 21) within the ventral striatum. Resting-state functional magnetic resonance imaging was also undertaken in the same individuals to investigate salience network functional connectivity. A graph theoretical approach was used to characterize the relationship between dopamine measures and network connectivity. Results Dopamine synthesis capacity was associated with greater salience network connectivity, and this relationship was particularly apparent for brain regions that act as information-processing hubs. In contrast, dopamine release capacity was associated with weaker salience network connectivity. There was no relationship between dopamine measures and visual and sensorimotor networks, indicating specificity of the findings. Conclusions Our findings demonstrate a close relationship between the salience network and mesolimbic dopamine system, and they are relevant to neuropsychiatric illnesses in which aberrant functioning of both systems has been observed.
Issue Date: 1-Mar-2019
Date of Acceptance: 14-Sep-2018
URI: http://hdl.handle.net/10044/1/64828
DOI: https://doi.org/10.1016/j.biopsych.2018.09.010
ISSN: 0006-3223
Publisher: Elsevier
Start Page: 368
End Page: 378
Journal / Book Title: Biological Psychiatry
Volume: 85
Issue: 5
Copyright Statement: © 2018 Society of Biological Psychiatry. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/N014529/1
Keywords: Science & Technology
Life Sciences & Biomedicine
Neurosciences
Psychiatry
Neurosciences & Neurology
F-18-DOPA
Functional connectivity
Graph theory
C-11-PHNO
Resting state
Striatum
DEFAULT-MODE NETWORK
CINGULATE CORTEX
BRAIN NETWORKS
RESTING BRAIN
HYPOTHESIS
PREDICTION
PSYCHOSIS
RELEASE
SYSTEM
IDENTIFICATION
(11)C-PHNO
(18)F-DOPA
Functional connectivity
Graph theory
Resting state
Striatum
06 Biological Sciences
17 Psychology and Cognitive Sciences
11 Medical and Health Sciences
Psychiatry
Publication Status: Published
Online Publication Date: 2018-09-29
Appears in Collections:Mathematics
Clinical Sciences
Imaging Sciences
Applied Mathematics and Mathematical Physics
Faculty of Medicine
Faculty of Natural Sciences



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