Evidence map›Paper›PMID 32359234›Full record

ArticleJournal of behavioral addictions2020

Decreased effective connection from the parahippocampal gyrus to the prefrontal cortex in Internet gaming disorder: A MVPA and spDCM study.

Ziliang Wang, Haohao Dong, Xiaoxia Du, Jin-Tao Zhang, Guang-Heng Dong

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ziliang Wang1 State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing,PR China.
Haohao Dong3 Department of Psychology, Zhejiang Normal University, Jinhua,PR China.
Xiaoxia Du4 Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai,PR China.
Jin-Tao Zhang1 State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing,PR China.ORCID https://orcid.org/0000-0002-4807-1196
Guang-Heng Dong2 Center for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province,PR China.ORCID https://orcid.org/0000-0001-8813-8730

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUnderstanding the neural mechanisms underlying Internet gaming disorder (IGD) is essential for the condition's diagnosis and treatment. Nevertheless, the pathological mechanisms of IGD remain elusive at present. Hence, we employed multi-voxel pattern analysis (MVPA) and spectral dynamic causal modeling (spDCM) to explore this issue.

methodsResting-state fMRI data were collected from 103 IGD subjects (male = 57) and 99 well-matched recreational game users (RGUs, male = 51). Regional homogeneity was calculated as the feature for MVPA based on the support vector machine (SVM) with leave-one- out cross-validation. Mean time series data extracted from the brain regions in accordance with the MVPA results were used for further spDCM analysis.

resultsResults display a high accuracy of 82.67% (sensitivity of 83.50% and specificity of 81.82%) in the classification of the two groups. The most discriminative brain regions that contributed to the classification were the bilateral parahippocampal gyrus (PG), right anterior cingulate cortex (ACC), and middle frontal gyrus (MFG). Significant correlations were found between addiction severity (IAT and DSM scores) and the ReHo values of the brain regions that contributed to the classification. Moreover, the results of spDCM showed that compared with RGU, IGD showed decreased effective connectivity from the left PG to the right MFG and from the right PG to the ACC and decreased self-connection in the right PG.

conclusionsThese results show that the weakening of the PG and its connection with the prefrontal cortex, including the ACC and MFG, may be an underlying mechanism of IGD.

Indexed as

ConnectomeVideo GamesAdultFemaleGyrus CinguliHumansInternet Addiction DisorderMagnetic Resonance ImagingMaleParahippocampal GyrusPrefrontal CortexSensitivity and SpecificitySupport Vector MachineYoung Adult

Identifiers

PMID32359234
PMCPMC8935187

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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.