Evidence map›Paper›PMID 28449561›Full record

ArticleClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2017

Differences in Resting-state Quantitative Electroencephalography Patterns in Attention Deficit/Hyperactivity Disorder with or without Comorbid Symptoms.

Jun Won Kim, Soo Yeon Kim, Jae-Won Choi, Kyoung Min Kim, Sojeong Hannah Nam, Kyung Joon Min, Young Sik Lee, Tae Young Choi

Open access · diamondAbstract read
In one paragraph

Article in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Automatic Diagnosis of Attention Deficit Hyperactivity Disorder with Continuous Wavelet Transform and Convolutional Neural Network.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Article
  5. Article
  6. ADHD: Reviewing the Causes and Evaluating Solutions.Journal of personalized medicine · 2021
    Review
  7. Article
  8. Article
  9. Heart and Brain Interaction of Psychiatric Illness: A Review Focused on Heart Rate Variability, Cognitive Function, and Quantitative Electroencephalography.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2019
    Article
  10. Article
  11. Article
  12. Comparing the Effects of Bupropion and Escitalopram on Excessive Internet Game Play in Patients with Major Depressive Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2017
    Article
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 3 institutions in 1 country.

Jun Won KimDepartment of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Korea.
Soo Yeon KimDivision of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Korea.
Jae-Won ChoiDivision of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Korea.
Kyoung Min KimDivision of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Korea.
Sojeong Hannah NamDivision of Child and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul, Korea.
Kyung Joon MinDepartment of Psychiatry, Chung-Ang University College of Medicine, Seoul, Korea.
Young Sik LeeDepartment of Psychiatry, Chung-Ang University College of Medicine, Seoul, Korea.
Tae Young ChoiDepartment of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Korea.
Seoul National University Hospital · KRChung-Ang University · KRDaegu Catholic University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to evaluate the role of comorbid psychiatric symptoms on quantitative electroencephalogram (QEEG) activities in boys with the attention deficit/hyperactivity disorder (ADHD).

methodsAll participants were male students in the second, third or fourth grade in elementary school. Therefore, there were no significant differences in age or sex. Participants with ADHD were assigned to one of three groups: pure ADHD (n=22), ADHD with depressive symptoms (n=11), or ADHD with problematic internet use (n=19). The Korean version of the Children's Depression Inventory and the Korean Internet Addiction Self-scale were used to assess depressive symptoms and problematic internet use, respectively. Resting-state EEG during eyes closed was recorded, and the absolute power of five frequency bands was analyzed: delta (1-4 Hz), theta (4-8 Hz), alpha (8-12 Hz), beta (12-30 Hz), and gamma (30-50 Hz).

resultsThe ADHD with problematic internet use group showed decreased absolute theta power at the central and posterior region compared with the pure ADHD group. However, The ADHD with depressive symptoms group showed no significant differences compared with the other groups.

conclusionThese findings will contribute to a better understanding of brain-based electrophysiological changes in children with ADHD in accordance with comorbid psychiatric symptoms.

Indexed as

Attention deficit disorder with hyperactivityComorbidityDepressionElectroencephalography

Identifiers

PMID28449561
PMCPMC5426496
OpenAlexW2609587088

What OpenQuestion holds

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LicenceCC BY-NC
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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.