Evidence map›Paper›PMID 34108794›Full record

ArticleDevelopmental review : DR2021

Emerging neurodevelopmental perspectives on mathematical learning.

Vinod Menon, Hyesang Chang

Abstract read
In one paragraph

Article in Developmental review : DR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Foundational Number Sense Training Gains Are Predicted by Hippocampal-Parietal Circuits.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Pooled it
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  8. 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
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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

2 authors.

Vinod MenonDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.
Hyesang ChangDepartment 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

Strong foundational skills in mathematical problem solving, acquired in early childhood, are critical not only for success in the science, technology, engineering, and mathematical (STEM) fields but also for quantitative reasoning in everyday life. The acquisition of mathematical skills relies on protracted interactive specialization of functional brain networks across development. Using a systems neuroscience approach, this review synthesizes emerging perspectives on neurodevelopmental pathways of mathematical learning, highlighting the functional brain architecture that supports these processes and sources of heterogeneity in mathematical skill acquisition. We identify the core neural building blocks of numerical cognition, anchored in the posterior parietal and ventral temporal-occipital cortices, and describe how memory and cognitive control systems, anchored in the medial temporal lobe and prefrontal cortex, help scaffold mathematical skill development. We highlight how interactive specialization of functional circuits influences mathematical learning across different stages of development. Functional and structural brain integrity and plasticity associated with math learning can be examined using an individual differences approach to better understand sources of heterogeneity in learning, including cognitive, affective, motivational, and sociocultural factors. Our review emphasizes the dynamic role of neurodevelopmental processes in mathematical learning and cognitive development more generally.

Indexed as

Brain plasticityCognitive developmentFunctional brain circuitsIndividual differencesMathematical learningNeurocognitive systems

Identifiers

PMID34108794
PMCPMC8184018

What OpenQuestion holds

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Registered trials

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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.