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; Mohammadreza Alizadeh; Parvin Amini Yeganeh; Ayda Khayyat Naghadehi; Kiana Azizi; Mahdieh Alizadeh Chakharlou; AmirHossein Nasiri; Mohsen Davoudkhani; Mohsen Rezaeian; Mohsen Safakheil; Amirreza Katebi; Masoumeh Hasanzadeh Tahraband; Sahar Delkhahi; Haniyeh Soltani; Vajihe Shahrabi Farahani; Kimia Ghasemkhani; Erfan Nazari; Farhad Farkhondeh Tale Navi

doi:10.1038/s41597-025-04624-6

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

Sci Data. 2025 Feb 22;12(1):319. doi: 10.1038/s41597-025-04624-6.

Authors

Mohammad Ali Nazari^{1

2

3}, Sevda Abbasi⁴, Maryam Rezaeian⁵, Soomaayeh Heysieattalab⁴, Hosein Safakheil⁵, Ali Motie Nasrabadi⁶, Zeynab Barzegar⁷, Mohammad Taghi Joghataei^{5

8}, Zohreh Asgharian⁴, Farshid Ghobadzadeh⁹, Mohammadreza Alizadeh¹⁰, Parvin Amini Yeganeh¹¹, Ayda Khayyat Naghadehi¹², Kiana Azizi¹², Mahdieh Alizadeh Chakharlou¹³, AmirHossein Nasiri¹⁴, Mohsen Davoudkhani¹⁵, Mohsen Rezaeian¹⁶, Mohsen Safakheil¹⁷, Amirreza Katebi¹⁸, Masoumeh Hasanzadeh Tahraband¹⁹, Sahar Delkhahi²⁰, Haniyeh Soltani^{17

21}, Vajihe Shahrabi Farahani²², Kimia Ghasemkhani¹⁴, Erfan Nazari^{17

23}, Farhad Farkhondeh Tale Navi⁴

Affiliations

¹ Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran. nazari.moa@iums.ac.ir.
² Imâge Brain Institute, Tehran, Iran. nazari.moa@iums.ac.ir.
³ Department of Artificial Intelligence in Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran. nazari.moa@iums.ac.ir.
⁴ Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
⁵ Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
⁶ Department of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran.
⁷ Department of Artificial Intelligence in Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran.
⁸ Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
⁹ School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran.
¹⁰ Department of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran.
¹¹ Department of Counseling, Shahid Beheshti University, Tehran, Iran.
¹² Department of Psychology, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran.
¹³ Department of Clinical Psychology, Faculty of Medical, Ahar Branch, Islamic Azad University, Ahar, Iran.
¹⁴ Department of Psychology, Karaj Branch, Islamic Azad University, Karaj, Iran.
¹⁵ Department of Psychological Sciences, Kansas State University, Kansas, USA.
¹⁶ Epidemiology and Biostatistics Department, School of Health, Occupational Environment Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
¹⁷ Imâge Brain Institute, Tehran, Iran.
¹⁸ Department of Psychology, Faculty of Psychology and Educational Sciences, South Tehran Branch, Islamic Azad University, Tehran, Iran.
¹⁹ Department of Audiology, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
²⁰ Department of Psychology, University of Milano-Bicocca, Milan, Italy.
²¹ Institute for Cognitive Science Studies (ICSS), Tehran, Iran.
²² Department of Psychology, Science and Research Branch, Islamic Azad University, Rudehen, Iran.
²³ Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.

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.

Publication types

Dataset

MeSH terms

Child
Cognition*
Electroencephalography*
Evoked Potentials*
Female
Humans
Iran
Male
Memory, Short-Term

Grants and funding

12286/Cognitive Sciences and Technologies Council (CSTC)