Evidence map›Paper›PMID 40996545›Full record

ArticleBrain topography2025

Signs of Problematic Internet use Affect Resting-State EEG Microstates.

Dovile Simkute, Povilas Tarailis, Inga Griskova-Bulanova

Abstract read
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In one paragraph

Article in Brain topography, 2025. 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

3 authors.

Dovile Simkute *Life Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania.
Povilas Tarailis *Life Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania.
Inga Griskova-BulanovaLife Sciences Center, Institute of Biosciences, Vilnius University, Vilnius, Lithuania. i.griskova@gmail.com.

Funding

Lietuvos Mokslo Taryba S-GEV-20-5
6 · The paper itself

Abstract

Easy access, overuse, and misuse of the internet have contributed to the rise of Problematic Internet Use (PIU). Despite a growing body of research linking excessive and addictive digital media use to adverse physical, psychological, social, and neurological consequences, identifying robust and widely accepted neurophysiological markers of PIU severity remains a significant challenge and a leading focus within the field. In this study, 156 healthy regular internet users (70 males; aged 18-35) were assessed using the PIUQ-9 questionnaire, along with measures of anxiety, depression, and obsessive-compulsive symptoms. Resting-state electroencephalogram (EEG) was recorded, and microstates (MS) of EEG were assessed. Psychological and neurophysiological profiles were examined both within the full sample and through comparisons between High and Low PIU groups. The microstate analysis resulted in extraction of 7 MS classes. A significant association between increased occurrence rate and time coverage of MS E - associated with interoception, salience and emotional processing, and PIU scores, both in the full sample and in High vs. Low group comparisons. Furthermore, parameters of MS B, MS C, and MS D showed significant negative associations with anxiety and obsessive-compulsive symptoms. These findings suggest that altered MS E dynamics, may represent a potential early functional biomarker of PIU, reflecting neural changes specifically associated with problematic internet behavior, rather than with psychological traits reflecting general psychopathology, particularly anxiety symptoms.

Indexed as

Behavior, AddictiveBrainInternet Addiction DisorderAdolescentAdultAnxietyElectroencephalographyFemaleHumansMaleRestSurveys and QuestionnairesYoung AdultBehavioral addictionEEG microstatesFunctional biomarkersInternet addictionProblematic internet useResting state

Identifiers

PMID40996545

What OpenQuestion holds

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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.