Evidence map›Paper›PMID 42286507›Full record

ArticleBMC psychiatry2026

Abnormal effective connectivity of default mode network subsystems affects depressive symptoms and sleep disturbances in adolescents with internet gaming disorder.

Mengzhe Zhang, Longyao Ma, Jieping Sun, Jinghan Dang, Qiuying Tao, Weijian Wang, Shaoqiang Han, Yong Zhang

Abstract read
In one paragraph

Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mengzhe ZhangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Longyao MaDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jieping SunDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jinghan DangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qiuying TaoDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Weijian WangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shaoqiang HanDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yong ZhangDepartment of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. zzuzhangyong2013@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have demonstrated that Internet gaming disorder (IGD) was associated with sleep and psychological disorders. The default mode network (DMN) is not a unitary system, but rather is composed of smaller and distinct functional subsystems that interact with each other. We aimed to assess the functional relevance of these subsystems and the neural underpinnings of clinical symptoms in IGD.

methodWe recruited 47 IGD adolescents and 56 healthy controls, and examined their effective connectivity (EC) from three DMN subsystems by using dynamic causal modelling (DCM), including midline core network (PCC-aMPFC core DMN), medial temporal subsystem (MTL-DMN), and dorsal medial prefrontal subsystem (dMPFC-DMN). The relationships between neuroimaging findings, anxiety/depression and sleep disturbances were assessed through a mediation model. Finally, Leave-one-out cross-validation was used to investigate whether neural response could predict accompanying symptoms of IGD.

resultsThe IGD group showed increased EC from PCC-aMPFC core DMN to MTL-DMN and increased self-connection of lateral temporal cortex (LTC) compared to the control group. The EC from anterior medial prefrontal cortex (aMPFC) to posterior inferior parietal lobule (pIPL) mediated the relationship between depression and sleep disturbances in IGD. Moreover, increased EC from aMPFC to pIPL could predict sleep disturbances of IGD adolescents.

conclusionsThis study emphasized the aberrant effective connectivity of different functional subsystems of DMN and revealed the neural correlates of accompanying symptoms in IGD adolescents. These findings suggested DMN subsystems-derived indicators could help to identify accompanying symptoms of IGD and could be explored as a target for neuromodulation interventions in future studies. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Default Mode NetworkDepressionInternet Addiction DisorderSleep Wake DisordersVideo GamesAdolescentCase-Control StudiesFemaleHumansMagnetic Resonance ImagingMaleDefault mode network subsystemsDepressive symptomsDynamic causal modelingInternet gaming disorderSleep disturbances

Identifiers

PMID42286507
PMCPMC13430757

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.