ArticleScientific data2019
A longitudinal neuroimaging dataset on arithmetic processing in school children.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Dense longitudinal neuroimaging reveals individual brain change trajectories.Trends in cognitive sciences · 2026Review
- A fMRI neuroimaging dataset of word reading with semantic and phonological localizers in children and adolescents.Data in brief · 2025Article
- Encoding models for developmental cognitive computational neuroscience: Promise, challenges, and potential.Developmental cognitive neuroscience · 2024Review
- Structural and transcriptional signatures of arithmetic abilities in children.NPJ science of learning · 2024Article
- Inter-individual, hemispheric and sex variability of brain activations during numerosity processing.Brain structure & function · 2024Article
- Positive math attitudes are associated with greater frontal activation among children from higher socio-economic status families.Neuropsychologia · 2024Article
- From brain to education through machine learning: Predicting literacy and numeracy skills from neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Arithmetic skills are associated with left fronto-temporal gray matter volume in 536 children and adolescents.NPJ science of learning · 2023Article
- Temporal cortex activation explains children's improvement in math attitudes.Child development · 2022Article
- A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old.Scientific data · 2022Article
- Neurocognitive mechanisms explaining the role of math attitudes in predicting children's improvement in multiplication skill.Cognitive, affective & behavioral neuroscience · 2021Article
- Gray matter volume in left intraparietal sulcus predicts longitudinal gains in subtraction skill in elementary school.NeuroImage · 2021Article
- The Connectivity Fingerprints of Highly-Skilled and Disordered Reading Persist Across Cognitive Domains.Frontiers in computational neuroscience · 2021Article
- A neuroimaging dataset of deductive reasoning in school-aged children.Data in brief · 2020Article
- A neuroimaging dataset on orthographic, phonological and semantic word processing in school-aged children.Data in brief · 2020Article
- Early Engagement of Parietal Cortex for Subtraction Solving Predicts Longitudinal Gains in Behavioral Fluency in Children.Frontiers in human neuroscience · 2020Article
- A longitudinal neuroimaging dataset on multisensory lexical processing in school-aged children.Scientific data · 2019Article
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Authors and funding
4 authors.
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Abstract
We describe functional and structural data acquired using a 3T scanner in a sample of 132 typically developing children, who were scanned when they were approximately 11 years old (i.e. Time 1). Sixty-three of them were scanned again approximately 2 years later (i.e. Time 2). Children performed four tasks inside the scanner: two arithmetic tasks and two localizer tasks. The arithmetic tasks were a single-digit multiplication and a single-digit subtraction task. The localizer tasks, a written rhyming judgment task and a numerosity judgment task, were used to independently identify verbal and quantity brain areas, respectively. Additionally, we provide data on behavioral performance on the tasks inside the scanner, participants' scores on standardized tests, including reading and math skill, and a developmental history questionnaire completed by parents. This dataset could be useful to answer questions regarding the neural bases of the development of math in children and its relation to individual differences in skill. The data, entitled "Brain Correlates of Math Development", are freely available from OpenNeuro (https://openneuro.org).
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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.