ArticleNeuropsychologia2020
The association of grey matter volume and cortical complexity with individual differences in children's arithmetic fluency.
Article in Neuropsychologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Complexity in disguise: a systematic review of fractal analysis in psychiatric neuroimaging.European radiology · 2026Pooled it
- Experience-dependent cortical plasticity in response to formal schooling: Effects on networks for reading and mathematics.Developmental cognitive neuroscience · 2026Article
- Familial transmission of neural representations for mental arithmetic across two generations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Structural and transcriptional signatures of arithmetic abilities in children.NPJ science of learning · 2024Article
- Neuroanatomical, transcriptomic, and molecular correlates of math ability and their prognostic value for predicting learning outcomes.Science advances · 2024Article
- Arithmetic skills are associated with left fronto-temporal gray matter volume in 536 children and adolescents.NPJ science of learning · 2023Article
- Investigating the association between variability in sulcal pattern and academic achievement.Scientific reports · 2022Article
- Academic achievements and brain volume development in children and adolescents.Cerebral cortex communications · 2022Article
- Mathematical Abilities in School-Aged Children: A Structural Magnetic Resonance Imaging Analysis With Radiomics.Frontiers in neuroscience · 2022Article
- Gray matter volume in left intraparietal sulcus predicts longitudinal gains in subtraction skill in elementary school.NeuroImage · 2021Article
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3 authors.
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Abstract
Only a small amount of studies have looked at the structural neural correlates of children's arithmetic. Furthermore, these studies mainly implemented voxel-based morphometry, which only takes the volume of regions into account, without looking at other structural properties. The current study aimed to contribute knowledge on which brain regions are important for children's arithmetic on a structural level, by not only implementing voxel-based morphometry, but also cortical complexity analyses, based on the fractal dimension index. This complexity measure describes a characteristic of surface shape. Data of 43 typically developing 9-10 year-olds were analyzed. All children were asked to take part in two test sessions: behavioral data collection and MRI data acquisition. For data analysis, mean values for volume and cortical complexity were estimated within regions of interest (ROIs) and extracted for further analysis. The selected ROIs were based on regions found to be related to children's mathematical abilities in previous research. Results point towards associations between arithmetic fluency and the volume of the right fusiform gyrus, as well as the cortical complexity of the left postcentral gyrus, right insular sulcus, and left lateral orbital sulcus. Remarkably, no significant associations were observed between the children's arithmetic fluency and the volume or cortical complexity of typically arithmetic-associated parietal regions, such as the superior parietal lobe, intraparietal sulcus, or angular gyrus. Accordingly, the current study highlights the importance of structural characteristics of brain regions other than these typically arithmetic-associated parietal regions for children's arithmetic fluency.
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