Evidence map›Paper›PMID 35410879›Full record

SynthesisThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Foundational Number Sense Training Gains Are Predicted by Hippocampal-Parietal Circuits.

Hyesang Chang, Lang Chen, Yuan Zhang, Ye Xie, Carlo de Los Angeles, Emma Adair, Gaston Zanitti, Demian Wassermann, Miriam Rosenberg-Lee, Vinod Menon

Abstract readMeta-Analysis
In one paragraph

Synthesis in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
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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

10 authors.

Hyesang ChangDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305 changh@stanford.edu menon@stanford.edu.ORCID https://orcid.org/0000-0002-2231-1112
Lang ChenDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305.
Yuan ZhangDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305.ORCID https://orcid.org/0000-0001-9157-5544
Ye XieDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305.
Carlo de Los AngelesDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305.
Emma AdairDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305.
Gaston ZanittiParietal, Inria Saclay Île-de-France, Campus de l'École Polytechnique, Université Paris-Sud, Palaiseau 91120, France.
Demian WassermannParietal, Inria Saclay Île-de-France, Campus de l'École Polytechnique, Université Paris-Sud, Palaiseau 91120, France.
Miriam Rosenberg-LeeDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305.
Vinod MenonDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305 changh@stanford.edu menon@stanford.edu.

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
Brain Systems Supporting Learning and Memory in Children with AutismK01MH101394 · NIMH · STANFORD UNIVERSITY · PI ROSENBERG-LEE, MIRIAM JUDITH · 2013 to 2016
$684k
NICHD NIH HHS R01 HD059205NICHD NIH HHS R37 HD094623NIMH NIH HHS K01 MH101394NIMH NIH HHS R01 MH084164
6 · The paper itself

Abstract

The development of mathematical skills in early childhood relies on number sense, the foundational ability to discriminate among quantities. Number sense in early childhood is predictive of academic and professional success, and deficits in number sense are thought to underlie lifelong impairments in mathematical abilities. Despite its importance, the brain circuit mechanisms that support number sense learning remain poorly understood. Here, we designed a theoretically motivated training program to determine brain circuit mechanisms underlying foundational number sense learning in female and male elementary school-age children (7-10 years). Our 4 week integrative number sense training program gradually strengthened the understanding of the relations between symbolic (Arabic numerals) and nonsymbolic (sets of items) representations of quantity. We found that our number sense training program improved symbolic quantity discrimination ability in children across a wide range of math abilities including children with learning difficulties. Crucially, the strength of pretraining functional connectivity between the hippocampus and intraparietal sulcus, brain regions implicated in associative learning and quantity discrimination, respectively, predicted individual differences in number sense learning across typically developing children and children with learning difficulties. Reverse meta-analysis of interregional coactivations across 14,371 fMRI studies and 89 cognitive functions confirmed a reliable role for hippocampal-intraparietal sulcus circuits in learning. Our study identifies a canonical hippocampal-parietal circuit for learning that plays a foundational role in children's cognitive skill acquisition. Findings provide important insights into neurobiological circuit markers of individual differences in children's learning and delineate a robust target for effective cognitive interventions.

Indexed as

CognitionChildChild, PreschoolFemaleHippocampusHumansMaleMathematicsParietal Lobebrain circuitsindividual differencesinterventionlearningquantity discrimination

Identifiers

PMID35410879
PMCPMC9097592

What OpenQuestion holds

Textmetadata
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.