Evidence map›Paper›PMID 35270377›Full record

ArticleInternational journal of environmental research and public health2022

Slow-Wave EEG Activity Correlates with Impaired Inhibitory Control in Internet Addiction Disorder.

Yawei Qi, Yuting Liu, Ziyou Yan, Shiqi Hu, Xinhe Zhang, Jia Zhao, Ofir Turel, Qinghua He

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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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 2 countries.

Yawei QiFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China.
Yuting LiuFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China.
Ziyou YanFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China.
Shiqi HuFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China.
Xinhe ZhangFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China.
Jia ZhaoFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China.ORCID 0000-0003-0230-887X
Ofir TurelSchool of Computing and Information Systems, The University of Melbourne, Parkville, VIC 3010, Australia.ORCID 0000-0002-6374-6382
Qinghua HeFaculty of Psychology, MOE Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China.ORCID 0000-0001-6396-6273
Southwest University · CNThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impaired inhibitory control is a core feature of internet addiction disorder (IAD). It is therefore of interest to determine the neurophysiological markers associated with it. The present study aimed to find such biomarkers with a resting-state electroencephalogram (EEG). We specifically used scores on the Chinese Internet Addiction Scale revised edition (CIAS-R) to divide 46 participants into two groups: the IAD group (>53, n = 23) and control group (<46, n = 23). Both behavioral aspects (Go/NoGo responses and impulsivity) and EEG were measured in the lab. The results suggest that the IAD group presented a decreased slow-wave (1−8 Hz) absolute power across the whole brain. The slow-wave activities in the frontal areas were also correlated with the commission error rate in the Go/NoGo task in the IAD group. These results imply that the frontal slow-wave EEG activity may serve as a neurophysiological marker of IAD, helping to understand the underlying neural mechanisms of inhibitory control deficits in IAD and point to possible interventions.

Indexed as

Behavior, AddictiveInternet Addiction DisorderBrainElectroencephalographyHumansImpulsive BehaviorInternetelectroencephalogram (EEG)inhibitory controlinternet addiction disorders (IAD)resting-stateslow-wave activity

Identifiers

PMID35270377
PMCPMC8910405
OpenAlexW4214661145

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.