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Nazari MA, Abbasi S, Rezaeian M, Heysieattalab S, Safakheil H, Nasrabadi AM, Barzegar Z, Joghataei MT, Asgharian Z, Ghobadzadeh F, Alizadeh M, Amini Yeganeh P, Khayyat Naghadehi A, Azizi K, Alizadeh Chakharlou M, Nasiri A, Davoudkhani M, Rezaeian M, Safakheil M, Katebi A, Hasanzadeh Tahraband M, Delkhahi S, Soltani H, Shahrabi Farahani V, Ghasemkhani K, Nazari E, Farkhondeh Tale Navi F. Iranian 6-11 years age population-based EEG, ERP, and cognition dataset. Sci Data 2025; 12:319. [PMID: 39987138 PMCID: PMC11846862 DOI: 10.1038/s41597-025-04624-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Accepted: 02/12/2025] [Indexed: 02/24/2025] Open
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.
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Affiliation(s)
- Mohammad Ali Nazari
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
- Imâge Brain Institute, Tehran, Iran.
- Department of Artificial Intelligence in Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran.
| | - Sevda Abbasi
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | - Maryam Rezaeian
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Soomaayeh Heysieattalab
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | - Hosein Safakheil
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Ali Motie Nasrabadi
- Department of Biomedical Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
| | - Zeynab Barzegar
- Department of Artificial Intelligence in Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran
| | - Mohammad Taghi Joghataei
- Department of Neuroscience, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Zohreh Asgharian
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | - Farshid Ghobadzadeh
- School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
| | - Mohammadreza Alizadeh
- Department of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran
| | | | - Ayda Khayyat Naghadehi
- Department of Psychology, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | - Kiana Azizi
- Department of Psychology, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
| | | | - AmirHossein Nasiri
- Department of Psychology, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Mohsen Davoudkhani
- Department of Psychological Sciences, Kansas State University, Kansas, USA
| | - Mohsen Rezaeian
- Epidemiology and Biostatistics Department, School of Health, Occupational Environment Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran
| | | | - Amirreza Katebi
- Department of Psychology, Faculty of Psychology and Educational Sciences, South Tehran Branch, Islamic Azad University, Tehran, Iran
| | | | - Sahar Delkhahi
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Haniyeh Soltani
- Imâge Brain Institute, Tehran, Iran
- Institute for Cognitive Science Studies (ICSS), Tehran, Iran
| | | | - Kimia Ghasemkhani
- Department of Psychology, Karaj Branch, Islamic Azad University, Karaj, Iran
| | - Erfan Nazari
- Imâge Brain Institute, Tehran, Iran
- Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Farhad Farkhondeh Tale Navi
- Department of Cognitive Neuroscience, Faculty of Education and Psychology, University of Tabriz, Tabriz, Iran
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Martínez-Briones BJ, Fernández T, Silva-Pereyra J. Semantic Priming and Its Link to Verbal Comprehension and Working Memory in Children with Learning Disorders. Brain Sci 2023; 13:1022. [PMID: 37508954 PMCID: PMC10377304 DOI: 10.3390/brainsci13071022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/23/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
Children with learning disorders (LD children) often have heterogeneous cognitive impairments that affect their ability to learn and use basic academic skills. A proposed cause for this variability has been working memory (WM) capacity. Altered patterns of event-related potentials (ERPs) in these children have also been found in the N400 component associated with semantic priming. However, regarding the semantic priming effect in LD children, no distinction has been made for children with varying WM abilities. This study aims to explore the relationship of WM with the brain's electrophysiological response that underlies semantic priming in LD children that performed a lexical decision task. A total of 40 children (8-10 years old) participated: 28 children with LD and 12 age-matched controls. The ERPs were recorded for each group and analyzed with permutation-based t-tests. The N400 effect was observed only in the control group, and both groups showed a late positive complex (LPC). Permutation-based regression analyses were performed for the results from the LD group using the WISC-IV indices (e.g., Verbal Comprehension and WM) as independent predictors of the ERPs. The Verbal Comprehension Index, but not the WM index, was a significant predictor of the N400 and LPC effects in LD children.
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Affiliation(s)
| | - Thalía Fernández
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro 76230, Mexico
| | - Juan Silva-Pereyra
- Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlanepantla 54090, Mexico
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Gómez-Velázquez FR, González-Garrido AA, Ruiz-Stovel VD, Villuendas-González ER, Martínez-Ramos A, Altamirano-Ríos M. Event-related brain potentials study of arithmetic fact retrieval in children with different math achievement levels. JOURNAL OF COGNITIVE PSYCHOLOGY 2022. [DOI: 10.1080/20445911.2022.2090571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
| | | | | | | | - Alicia Martínez-Ramos
- Departamento de Neurociencias. CUCS, Universidad de Guadalajara, Guadalajara, Mexico
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Wang CC, Sun YC, Zhang Y, Xin YW, Gao WX, Jia LP, Liu XQ. An ERP study on the influence of mental abacus calculation on subthreshold arithmetic priming in children. Neuroreport 2022; 33:116-128. [PMID: 35139060 DOI: 10.1097/wnr.0000000000001761] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The objective of this study was to investigate the influence of mental abacus calculation training (MACT) on subliminal cognitive processes. METHODS Twenty children with intensive MACT (MACT group) and 20 children without MACT (non-MACT group) were selected. The two groups of children were matched in age, sex, handedness and academic grade. The participants were tested with subthreshold arithmetic priming task while their neural activities were recorded with a 32-channel electroencephalogram system. RESULTS We found that MACT changed the subliminal cognitive mechanism of computational processing, speeding up the computation. MACT affected the computational processing mode. Specifically, in the identification stage, both groups of children adopted the visual space processing mode, while in the computing stage, the MACT group adopted a visual space processing mode, but the non-MACT group adopted a semantic processing mode. Moreover, MACT improved children's executive functions. CONCLUSION These results yielded insights into the effect of early abacus training on children's cognitive processing, providing a theoretical basis for the development and promotion of abacus training.
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Affiliation(s)
- Cong-Cong Wang
- Department of Psychology, Weifang Medical University, Weifang, Shandong, China
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