Evidence map›Paper›PMID 31673061›Full record

Trial reportScientific reports2019

Internet addiction and functional brain networks: task-related fMRI study.

Gergely Darnai, Gábor Perlaki, András N Zsidó, Orsolya Inhóf, Gergely Orsi, Réka Horváth, Szilvia Anett Nagy, Beatrix Lábadi, Dalma Tényi, Norbert Kovács and 3 more

Open access · goldAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
10.1field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
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  19. Prevalence and Risk Factors of Problematic Internet Use among Hungarian Adult Recreational Esports Players.International journal of environmental research and public health · 2022
    Article
  20. Slow-Wave EEG Activity Correlates with Impaired Inhibitory Control in Internet Addiction Disorder.International journal of environmental research and public health · 2022
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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

13 authors at 2 institutions in 1 country.

Gergely DarnaiInstitute of Psychology, University of Pécs, Pécs, Hungary. darnai.gergely@pte.hu.
Gábor PerlakiMTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.
András N ZsidóInstitute of Psychology, University of Pécs, Pécs, Hungary.
Orsolya InhófInstitute of Psychology, University of Pécs, Pécs, Hungary.
Gergely OrsiMTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.
Réka HorváthDepartment of Neurology, University of Pécs, Medical School, Pécs, Hungary.
Szilvia Anett NagyMTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.
Beatrix LábadiInstitute of Psychology, University of Pécs, Pécs, Hungary.
Dalma TényiDepartment of Neurology, University of Pécs, Medical School, Pécs, Hungary.
Norbert KovácsDepartment of Neurology, University of Pécs, Medical School, Pécs, Hungary.
Tamás DócziMTA-PTE Clinical Neuroscience MR Research Group, Pécs, Hungary.
Zsolt DemetrovicsInstitute of Psychology, Eötvös Loránd University, Budapest, Hungary.ORCID http://orcid.org/0000-0001-5604-7551
József JanszkyDepartment of Neurology, University of Pécs, Medical School, Pécs, Hungary.
University of Pecs · HUEötvös Loránd University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common brain-related feature of addictions is the altered function of higher-order brain networks. Growing evidence suggests that Internet-related addictions are also associated with breakdown of functional brain networks. Taking into consideration the limited number of studies used in previous studies in Internet addiction (IA), our aim was to investigate the functional correlates of IA in the default mode network (DMN) and in the inhibitory control network (ICN). To observe these relationships, task-related fMRI responses to verbal Stroop and non-verbal Stroop-like tasks were measured in 60 healthy university students. The Problematic Internet Use Questionnaire (PIUQ) was used to assess IA. We found significant deactivations in areas related to the DMN (precuneus, posterior cingulate gyrus) and these areas were negatively correlated with PIUQ during incongruent stimuli. In Stroop task the incongruent_minus_congruent contrast showed positive correlation with PIUQ in areas related to the ICN (left inferior frontal gyrus, left frontal pole, left central opercular, left frontal opercular, left frontal orbital and left insular cortex). Altered DMN might explain some comorbid symptoms and might predict treatment outcomes, while altered ICN may be the reason for having difficulties in stopping and controlling overuse.

Indexed as

Behavior, AddictiveBrainInternetMagnetic Resonance ImagingNerve NetAdolescentAdultFemaleHumansMaleStroop Test

Identifiers

PMID31673061
PMCPMC6823489
OpenAlexW2982447235

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.