Evidence map›Paper›PMID 37240428›Full record

ReviewInternational journal of molecular sciences2023

Connecting Circuits with Networks in Addiction Neuroscience: A Salience Network Perspective.

Adriana K Cushnie, Wei Tang, Sarah R Heilbronner

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Adriana K CushnieDepartment of Neuroscience, University of Minnesota Twin Cities, 2-164 Jackson Hall, 321 Church St. SE, Minneapolis, MN 55455, USA.
Wei TangDepartment of Computer Science, Indiana University Bloomington, Bloomington, IN 47408, USA.ORCID 0000-0003-3550-4076
Sarah R HeilbronnerDepartment of Neuroscience, University of Minnesota Twin Cities, 2-164 Jackson Hall, 321 Church St. SE, Minneapolis, MN 55455, USA.
University of Minnesota · USIndiana University Bloomington · US

Funding

Using a computational and network neuroscience framework to study pharmacological manipulations of state representation processes in early psychosisP50MH119569 · NIMH · UNIVERSITY OF MINNESOTA · PI A DAVID REDISH, Sophia Vinogradov · 2020 to 2026
$24.5M
NEUROSCIENCE TRAINING IN DRUG ABUSE RESEARCHT32DA007234 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Paul G Mermelstein, Jocelyn M Richard · 1986 to 2026
$10.9M
Revealing functional networks and circuits of the posteromedial cortex withanatomical connectivityR01MH118257 · NIMH · UNIVERSITY OF MINNESOTA · PI HEILBRONNER, SARAH RACHEL · 2019 to 2023
$1.9M
Combing resting state functional magnetic resonance imaging with chemogenetic modulation to characterize connectivity of the Salience NetworkR36MH130105 · NIMH · UNIVERSITY OF MINNESOTA · PI CUSHNIE, ADRIANA KELLY-ANN · 2022 to 2023
$65k
NIH HHS P50MH119569NIH HHS R01MH118257NIH HHS R36MH130105NIH HHS T32DA007234NIMH NIH HHS R36 MH130105
6 · The paper itself

Abstract

Human neuroimaging has demonstrated the existence of large-scale functional networks in the cerebral cortex consisting of topographically distant brain regions with functionally correlated activity. The salience network (SN), which is involved in detecting salient stimuli and mediating inter-network communication, is a crucial functional network that is disrupted in addiction. Individuals with addiction display dysfunctional structural and functional connectivity of the SN. Furthermore, while there is a growing body of evidence regarding the SN, addiction, and the relationship between the two, there are still many unknowns, and there are fundamental limitations to human neuroimaging studies. At the same time, advances in molecular and systems neuroscience techniques allow researchers to manipulate neural circuits in nonhuman animals with increasing precision. Here, we describe attempts to translate human functional networks to nonhuman animals to uncover circuit-level mechanisms. To do this, we review the structural and functional connections of the salience network and its homology across species. We then describe the existing literature in which circuit-specific perturbation of the SN sheds light on how functional cortical networks operate, both within and outside the context of addiction. Finally, we highlight key outstanding opportunities for mechanistic studies of the SN.

Indexed as

BrainMagnetic Resonance ImagingBrain MappingCerebral CortexHumansNeural PathwaysNeuroimagingaddictioncingulate cortexdefault mode networkinsulasalience network

Identifiers

PMID37240428
PMCPMC10219092
OpenAlexW4378084484

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.