OpenNeuro ds001486 public arithmetic-processing longitudinal dataset¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 associational),q2· 1 of 1 report an effect size · 2 claims rest on one study
Description¶
OpenNeuro ds001486 is a publicly deposited longitudinal dataset collected by Suárez-Pellicioni et al. containing structural MRI, arithmetic, and working-memory measures from students in grades 3 to 8.
Components¶
Claims¶
- Gray matter volume of widespread cortical regions significantly predicts children's subtraction skill in a cross-validated model [+M]
- Gray matter volume significantly predicts children's multiplication skill in a cross-validated model [+M]
Related Products and Programmes¶
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Key Sources¶
- Zhang, D., Xie, Y., Wang, L. & Zhou, K. (2024). Structural and transcriptional signatures of arithmetic abilities in children. npj Science of Learning 9, 58. https://doi.org/10.1038/s41539-024-00270-6
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
openneuro-ds001486-public-arithmetic-processing-longitudinal-dataset |
title |
OpenNeuro ds001486 public arithmetic-processing longitudinal dataset |
description |
OpenNeuro ds001486 is a publicly deposited longitudinal dataset collected by Suárez-Pellicioni et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-26 |
trust |
unverified — no one has confirmed this page's content |
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