Evidence map›Paper›PMID 32694984›Full record

ReviewFrontiers in neural circuits2020

The Nucleus Accumbens: A Common Target in the Comorbidity of Depression and Addiction.

Le Xu, Jun Nan, Yan Lan

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neural circuits, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
5.7field-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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

  1. Pooled it
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  8. EcoHIV Infection Disrupts Dopamine and Serotonin Transporter Function, Altering Release Dynamics in C57BL/6J Mice.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
    Article
  9. Change in brain molecular landscapes following electrical stimulation of the nucleus accumbens.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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  13. Observational
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3 more citing papers are in PubMed but not listed here.

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.

Le XuDepartment of Physiology and Pathophysiology, College of Medicine, Yanbian University School of Medicine, Yanji City, China.
Jun NanDepartment of Orthopedics, Affiliated Hospital of Yanbian University, Yanji City, China.
Yan LanDepartment of Physiology and Pathophysiology, College of Medicine, Yanbian University School of Medicine, Yanji City, China.
Yanbian University · CNYanbian University Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The comorbidity of depression and addiction has become a serious public health issue, and the relationship between these two disorders and their potential mechanisms has attracted extensive attention. Numerous studies have suggested that depression and addiction share common mechanisms and anatomical pathways. The nucleus accumbens (NAc) has long been considered a key brain region for regulating many behaviors, especially those related to depression and addiction. In this review article, we focus on the association between addiction and depression, highlighting the potential mediating role of the NAc in this comorbidity

Indexed as

RewardAnimalsBehavior, AddictiveComorbidityDeep Brain StimulationDepressionDopamineHumansNerve NetNucleus AccumbensDopamineaddictioncomorbiditydeep brain stimulationdepressiondopaminenucleus accumbens

Identifiers

PMID32694984
PMCPMC7338554
OpenAlexW3040135915

What OpenQuestion 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 OpenQuestion graph.