Evidence map›Paper›PMID 37176617›Full record

ArticleJournal of clinical medicine2023

Widespread Intra- and Inter-Network Dysconnectivity among Large-Scale Resting State Networks in Schizophrenia.

Bei Rong, Huan Huang, Guoqing Gao, Limin Sun, Yuan Zhou, Ling Xiao, Huiling Wang, Gaohua Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

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  9. Disrupted cortical organization in schizophrenia based on functional connectivity gradients.European archives of psychiatry and clinical neuroscience · 2026
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  15. Distinct structural deficits in treatment-resistant schizophrenia and their putative neurotransmitter basis: a source-based morphometry analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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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

8 authors at 2 institutions in 1 country.

Bei RongDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Huan HuangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0003-2071-5954
Guoqing GaoDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Limin SunDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Yuan ZhouInstitute of Psychology, CAS Key Laboratory of Behavioral Science, Beijing 100101, China.
Ling XiaoDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Huiling WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Gaohua WangDepartment of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wuhan University · CNInstitute of Psychology, Chinese Academy of Sciences · CN

Funding

Gaohua Wang the National Natural Science Foundation of China (NO. 81871072 and NO. 82071523), the Medical Science Advancement Program of Wuhan University (NO. TFLC2018001) and the Key research and development program of Hubei Province (2020BCA064).
6 · The paper itself

Abstract

Schizophrenia is characterized by the distributed dysconnectivity of resting-state multiple brain networks. However, the abnormalities of intra- and inter-network functional connectivity (FC) in schizophrenia and its relationship to symptoms remain unknown. The aim of the present study is to compare the intra- and inter-connectivity of the intrinsic networks between a large sample of patients with schizophrenia and healthy controls. Using the Region of interest (ROI) to ROI FC analyses, the intra- and inter-network FC of the eight resting state networks [default mode network (DMN); salience network (SN); frontoparietal network (FPN); dorsal attention network (DAN); language network (LN); visual network (VN); sensorimotor network (SMN); and cerebellar network (CN)] were investigated in 196 schizophrenia and 169-healthy controls. Compared to the healthy control group, the schizophrenia group exhibited increased intra-network FC in the DMN and decreased intra-network FC in the CN. Additionally, the schizophrenia group showed the decreased inter-network FC mainly involved the SN-DMN, SN-LN and SN-CN while increased inter-network FC in the SN-SMN and SN-DAN (

Indexed as

inter-network functional connectivityintra-network functional connectivityresting-state networksschizophrenia

Identifiers

PMID37176617
PMCPMC10179370
OpenAlexW4367313904

What OpenQuestion holds

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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.