Evidence map›Paper›PMID 31901932›Full record

ArticleSchizophrenia bulletin2020

Differences in Functional Connectivity Networks Related to the Midbrain Dopaminergic System-Related Area in Various Psychiatric Disorders.

Yuko Nakamura, Naohiro Okada, Daisuke Koshiyama, Kouhei Kamiya, Osamu Abe, Akira Kunimatsu, Kazuo Okanoya, Kiyoto Kasai, Shinsuke Koike

Open access · bronzeAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 29 citations in OpenAlex.

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  11. Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
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  15. Article
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

9 authors at 3 institutions in 1 country.

Yuko NakamuraCenter for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Naohiro OkadaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Daisuke KoshiyamaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kouhei KamiyaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Osamu AbeDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akira KunimatsuDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kazuo OkanoyaCenter for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Kiyoto KasaiCenter for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
Shinsuke KoikeCenter for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPResearch Institutue of Evolutionary Biology · JPUniversity of Tokyo Hospital · JP

Funding

Japan Agency for Medical Research and Development JP19dm0107120
6 · The paper itself

Abstract

objectiveDisruptions in the dopamine system have been observed in psychiatric disorders. Since dopamine is mainly produced in the ventral tegmental area (VTA), elucidating the differences in the VTA neural network across psychiatric disorders would facilitate a greater understanding of the pathophysiological mechanisms underlying these disorders. However, no study has compared VTA-seed-based functional connectivity across psychiatric disorders. Therefore, we conducted a resting-state functional magnetic resonance imaging (rs-fMRI) study to perform a seed-based fMRI analysis, using the VTA as a seed.

methodsWe included participants with major depressive disorder (MDD; n = 45), schizophrenia (n = 32), and bipolar disorder (BPD; n = 30), along with healthy control participants (n = 46) who were matched for age, gender, and handedness.

resultsThe results showed that patients with MDD and BPD had altered VTA-related connectivity in the superior frontal gyrus, frontal pole regions, hippocampus, cerebellum, and posterior cingulate cortex. Some of these differences in connectivity were also found between affective disorders and schizophrenia; however, there were no differences between the schizophrenia and control groups. Connectivity between the VTA and the hippocampus was correlated with positive symptoms in the schizophrenia group. The connectivity was not associated with medication dose, and the results remained significant after controlling for dose.

conclusionsThe results suggest that altered brain functional connectivity related to VTA networks could be associated with the distinctive pathophysiologies of psychiatric disorders, especially affective disorders.

Indexed as

psychiatric disordersresting-state functional magnetic resonance imagingthe ventral tegmental area

Identifiers

PMID31901932
PMCPMC7505191
OpenAlexW2998458847

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.