Evidence map›Paper›PMID 34060183›Full record

ArticleDevelopmental science2021

Neural representational similarity between symbolic and non-symbolic quantities predicts arithmetic skills in childhood but not adolescence.

Flora Schwartz, Yuan Zhang, Hyesang Chang, Shelby Karraker, Julia Boram Kang, Vinod Menon

Abstract read
In one paragraph

Article in Developmental science, 2021. 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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Latent Neurocognitive Mechanisms Underlying Quantity Discrimination in Children with and without Mathematical Learning Disabilities.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Symbolic numerical generalization through representational alignment.CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Flora SchwartzDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-9516-4213
Yuan ZhangDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0001-9157-5544
Hyesang ChangDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-2231-1112
Shelby KarrakerDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
Julia Boram KangDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
Vinod MenonDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.

Funding

Interventions in Math Learning Disabilities: Cognitive and Neural CorrelatesR01HD059205 · NICHD · STANFORD UNIVERSITY · PI Vinod Menon · 2009 to 2026
$10.8M
Longitudinal Neurocognitive Studies of Mathematical Disabilities: trajectories and outcomesR37HD094623 · NICHD · STANFORD UNIVERSITY · PI Vinod Menon · 2018 to 2026
$6.8M
Mathematical Cognition in Autism: A Cognitive and Systems Neuroscience ApproachR01MH084164 · NIMH · STANFORD UNIVERSITY · PI MENON, VINOD · 2011 to 2021
$6.7M
NICHD NIH HHS R01 HD059205NICHD NIH HHS R37 HD094623NIMH NIH HHS R01 MH084164
6 · The paper itself

Abstract

Mathematical knowledge is constructed hierarchically from basic understanding of quantities and the symbols that denote them. Discrimination of numerical quantity in both symbolic and non-symbolic formats has been linked to mathematical problem-solving abilities. However, little is known of the extent to which overlap in quantity representations between symbolic and non-symbolic formats is related to individual differences in numerical problem solving and whether this relation changes with different stages of development and skill acquisition. Here we investigate the association between neural representational similarity (NRS) across symbolic and non-symbolic quantity discrimination and arithmetic problem-solving skills in early and late developmental stages: elementary school children (ages 7-10 years) and adolescents and young adults (AYA, ages 14-21 years). In children, cross-format NRS in distributed brain regions, including parietal and frontal cortices and the hippocampus, was positively correlated with arithmetic skills. In contrast, no brain region showed a significant association between cross-format NRS and arithmetic skills in the AYA group. Our findings suggest that the relationship between symbolic-non-symbolic NRS and arithmetic skills depends on developmental stage. Taken together, our study provides evidence for both mapping and estrangement hypotheses in the context of numerical problem solving, albeit over different cognitive developmental stages.

Indexed as

CognitionProblem SolvingAdolescentAdultBrainChildHumansIndividualityMathematicsYoung Adultarithmetic skillscognitive developmentcross-formatneural representational similaritynumber representationquantity discrimination

Identifiers

PMID34060183
PMCPMC9112867

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.