A shared spatial topography links the functional connectome correlates of cocaine use disorder and dopamine D

CUD cocaine use disorder dopamine functional connectivity receptor density resting-state networks substance use

Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
20 Nov 2023
Historique:
pubmed: 4 12 2023
medline: 4 12 2023
entrez: 4 12 2023
Statut: epublish

Résumé

The biological mechanisms that contribute to cocaine and other substance use disorders involve an array of cortical and subcortical systems. Prior work on the development and maintenance of substance use has largely focused on cortico-striatal circuits, with relatively less attention on alterations within and across large-scale functional brain networks, and associated aspects of the dopamine system. The brain-wide pattern of temporal co-activation between distinct brain regions, referred to as the functional connectome, underpins individual differences in behavior. Critically, the functional connectome correlates of substance use and their specificity to dopamine receptor densities relative to other metabotropic receptors classes remains to be established. We comprehensively characterized brain-wide differences in functional connectivity across multiple scales, including individual connections, regions, and networks in participants with cocaine use disorder (CUD; n=69) and healthy matched controls (n=62), Further, we studied the relationship between the observed functional connectivity signatures of CUD and the spatial distribution of a broad range of normative neurotransmitter receptor and transporter bindings as assessed through 18 different normative positron emission tomography (PET) maps. Our analyses identified a widespread profile of functional connectivity differences between individuals with CUD and matched healthy comparison participants (8.8% of total edges; 8,185 edges; p Our analyses revealed a widespread profile of altered connectivity in individuals with CUD that extends across the functional connectome and implicates multiple circuits. This profile is robustly coupled with normative dopamine D

Sections du résumé

Background UNASSIGNED
The biological mechanisms that contribute to cocaine and other substance use disorders involve an array of cortical and subcortical systems. Prior work on the development and maintenance of substance use has largely focused on cortico-striatal circuits, with relatively less attention on alterations within and across large-scale functional brain networks, and associated aspects of the dopamine system. The brain-wide pattern of temporal co-activation between distinct brain regions, referred to as the functional connectome, underpins individual differences in behavior. Critically, the functional connectome correlates of substance use and their specificity to dopamine receptor densities relative to other metabotropic receptors classes remains to be established.
Methods UNASSIGNED
We comprehensively characterized brain-wide differences in functional connectivity across multiple scales, including individual connections, regions, and networks in participants with cocaine use disorder (CUD; n=69) and healthy matched controls (n=62), Further, we studied the relationship between the observed functional connectivity signatures of CUD and the spatial distribution of a broad range of normative neurotransmitter receptor and transporter bindings as assessed through 18 different normative positron emission tomography (PET) maps.
Results UNASSIGNED
Our analyses identified a widespread profile of functional connectivity differences between individuals with CUD and matched healthy comparison participants (8.8% of total edges; 8,185 edges; p
Conclusions UNASSIGNED
Our analyses revealed a widespread profile of altered connectivity in individuals with CUD that extends across the functional connectome and implicates multiple circuits. This profile is robustly coupled with normative dopamine D

Identifiants

pubmed: 38045392
doi: 10.1101/2023.11.17.567591
pmc: PMC10690146
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH120080
Pays : United States
Organisme : NIMH NIH HHS
ID : RF1 MH123245
Pays : United States

Références

Nat Neurosci. 2020 Nov;23(11):1421-1432
pubmed: 32989295
Neuropsychopharmacology. 2010 Jan;35(1):217-38
pubmed: 19710631
J Cereb Blood Flow Metab. 2015 Mar 31;35(4):623-9
pubmed: 25564239
Cereb Cortex. 2018 Sep 1;28(9):3095-3114
pubmed: 28981612
Science. 2018 Sep 21;361(6408):
pubmed: 30237320
Neuropsychopharmacology. 2020 Aug;45(9):1498-1505
pubmed: 32259831
Transl Psychiatry. 2017 Apr 11;7(4):e1091
pubmed: 28398340
Sci Pract Perspect. 2005 Dec;3(1):4-10
pubmed: 18552739
Nat Neurosci. 2022 Nov;25(11):1569-1581
pubmed: 36303070
Transl Psychiatry. 2022 Jan 28;12(1):41
pubmed: 35091540
Neuroimage. 2010 Dec;53(4):1197-207
pubmed: 20600983
Mol Psychiatry. 2021 Aug;26(8):4383-4393
pubmed: 31719641
Sci Data. 2022 Mar 31;9(1):133
pubmed: 35361781
J Neurosci Res. 2017 Jan 2;95(1-2):136-147
pubmed: 27870394
Nat Methods. 2022 Nov;19(11):1472-1479
pubmed: 36203018
J Neurosci. 2008 Aug 27;28(35):8821-31
pubmed: 18753384

Auteurs

Jocelyn A Ricard (JA)

Stanford Neurosciences Interdepartmental Program, Stanford University School of Medicine, Stanford, CA.
Department of Psychology, Yale University, New Haven, CT, USA.

Loïc Labache (L)

Department of Psychology, Yale University, New Haven, CT, USA.

Ashlea Segal (A)

Department of Neuroscience, Wu Tsai Institute, Yale University, New Haven, CT, USA.

Elvisha Dhamala (E)

Feinstein Institutes for Medical Research, Northwell Health, Manhasset, New York, USA.

Carrisa V Cocuzza (CV)

Department of Psychology, Yale University, New Haven, CT, USA.

Grant Jones (G)

Department of Psychology, Harvard University, Cambridge, MA, USA.

Sarah Yip (S)

Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.

Sidhant Chopra (S)

Department of Psychology, Yale University, New Haven, CT, USA.

Avram J Holmes (AJ)

Department of Psychology, Yale University, New Haven, CT, USA.
Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA.

Classifications MeSH