Evidence map›Paper›PMID 29868241›Full record

ArticleFuture science OA2018

Quantitative EEG features selection in the classification of attention and response control in the children and adolescents with attention deficit hyperactivity disorder.

Azadeh Bashiri, Leila Shahmoradi, Hamid Beigy, Behrouz A Savareh, Masood Nosratabadi, Sharareh R N Kalhori, Marjan Ghazisaeedi

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

Article in Future science OA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

7 authors at 4 institutions in 1 country.

Azadeh BashiriDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Leila ShahmoradiDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Hamid BeigyDepartment of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Behrouz A SavarehStudent Research Committee, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Masood NosratabadiDepartment of Clinical Psychology, University of Social Welfare & Rehabilitation Sciences, Tehran, Iran.
Sharareh R N KalhoriDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Marjan GhazisaeediDepartment of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRSharif University of Technology · IRUniversity of Social Welfare and Rehabilitation Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimQuantitative EEG gives valuable information in the clinical evaluation of psychological disorders. The purpose of the present study is to identify the most prominent features of quantitative electroencephalography (QEEG) that affect attention and response control parameters in children with attention deficit hyperactivity disorder.

methodsThe QEEG features and the Integrated Visual and Auditory-Continuous Performance Test ( IVA-CPT) of 95 attention deficit hyperactivity disorder subjects were preprocessed by Independent Evaluation Criterion for Binary Classification. Then, the importance of selected features in the classification of desired outputs was evaluated using the artificial neural network.

resultsFindings uncovered the highest rank of QEEG features in each IVA-CPT parameters related to attention and response control.

conclusionUsing the designed model could help therapists to determine the existence or absence of defects in attention and response control relying on QEEG.

Indexed as

ADHDIVA-CPTQEEG

Identifiers

PMID29868241
PMCPMC5961406
OpenAlexW2786055246

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.