Evidence map›Paper›PMID 39987138›Full record

ArticleScientific data2025

Iranian 6-11 years age population-based EEG, ERP, and cognition dataset.

Mohammad Ali Nazari, Sevda Abbasi, Maryam Rezaeian, Soomaayeh Heysieattalab, Hosein Safakheil, Ali Motie Nasrabadi, Zeynab Barzegar, Mohammad Taghi Joghataei, Zohreh Asgharian, Farshid Ghobadzadeh and 17 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
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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

27 authors.

Mohammad Ali NazariDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran. nazari.moa@iums.ac.ir.ORCID http://orcid.org/0000-0002-0340-994X
Sevda AbbasiDepartment of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
Maryam RezaeianDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Soomaayeh HeysieattalabDepartment of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
Hosein SafakheilDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Ali Motie NasrabadiDepartment of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran.
Zeynab BarzegarDepartment of Artificial Intelligence in Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran.
Mohammad Taghi JoghataeiDepartment of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Zohreh AsgharianDepartment of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
Farshid GhobadzadehSchool of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Mohammadreza AlizadehDepartment of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran.
Parvin Amini YeganehDepartment of Counseling, Shahid Beheshti University, Tehran, Iran.
Ayda Khayyat NaghadehiDepartment of Psychology, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
Kiana AziziDepartment of Psychology, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
Mahdieh Alizadeh ChakharlouDepartment of Clinical Psychology, Faculty of Medical, Ahar Branch, Islamic Azad University, Ahar, Iran.
AmirHossein NasiriDepartment of Psychology, Karaj Branch, Islamic Azad University, Karaj, Iran.
Mohsen DavoudkhaniDepartment of Psychological Sciences, Kansas State University, Kansas, USA.
Mohsen RezaeianEpidemiology and Biostatistics Department, School of Health, Occupational Environment Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Mohsen SafakheilImâge Brain Institute, Tehran, Iran.
Amirreza KatebiDepartment of Psychology, Faculty of Psychology and Educational Sciences, South Tehran Branch, Islamic Azad University, Tehran, Iran.
Masoumeh Hasanzadeh TahrabandDepartment of Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sahar DelkhahiDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Haniyeh SoltaniImâge Brain Institute, Tehran, Iran.
Vajihe Shahrabi FarahaniDepartment of Psychology, Science and Research Branch, Islamic Azad University, Rudehen, Iran.
Kimia GhasemkhaniDepartment of Psychology, Karaj Branch, Islamic Azad University, Karaj, Iran.
Erfan NazariImâge Brain Institute, Tehran, Iran.
Farhad Farkhondeh Tale NaviDepartment of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.ORCID http://orcid.org/0000-0001-9174-5902

Funding

Cognitive Sciences and Technologies Council (CSTC) 12286
6 · The paper itself

Abstract

This report presents an open-source dataset investigating neurodevelopmental profiles in children. The dataset consists of EEG, ERP, and cognitive assessments from 100 Iranian non-clinical participants (age range 6-11 years, Mean = 8.52 ± 1.5 SD). Notably, this is a smaller group drawn from a larger longitudinal ongoing study. The research aligns with the Research Domain Criteria (RDoC) framework, aiming to enhance diagnostic precision and intervention efficacy for specific learning disabilities (SLD) using EEG/ERP measures and machine learning. Cognitive assessments included non-verbal intelligence (Raven Test), attention (IVA-2), and working memory tasks. EEG recordings captured resting-state (eyes closed/open) and brain activity during working memory tasks with numerical and non-numerical stimuli (ERPs). Additionally, demographic information such as age, gender, education, handedness, parental history of learning difficulties, and child symptom inventory-4 (CSI-4) were collected. This dataset provides a valuable resource for exploring the neurophysiological correlates of cognitive functions in typically developing children, which can advance our understanding of the neural foundations of cognitive development in children.

Indexed as

CognitionElectroencephalographyEvoked PotentialsChildFemaleHumansIranMaleMemory, Short-Term

Identifiers

PMID39987138
PMCPMC11846862

What OpenQuestion holds

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LicenceCC BY
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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.