Evidence map›Paper›PMID 42231605›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2026

Individual differences in brain systems supporting declarative and procedural memory during grammatical error processing in children.

Analia Marzoratti, Anna Y Eames, Daniel W Lipscomb, Ian M Lyons, Michael T Ullman, Tanya M Evans

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Analia MarzorattiSchool of Education & Human Development, University of Virginia, Charlottesville, VA, United States.ORCID 0000-0003-3923-2063
Anna Y EamesBrain Institute, University of Virginia, Charlottesville, VA, United States.
Daniel W LipscombSchool of Education & Human Development, University of Virginia, Charlottesville, VA, United States.
Ian M LyonsDepartment of Psychology, Georgetown University, Washington, DC, United States.
Michael T UllmanDepartment of Neuroscience, Georgetown University, Washington, DC, United States.
Tanya M EvansSchool of Education & Human Development, University of Virginia, Charlottesville, VA, United States.

Funding

Longitudinal Investigation into Declarative and Procedural Memory Brain Systems Supporting the Development of Math SkillsR01HD100429 · NICHD · UNIVERSITY OF VIRGINIA · PI EVANS, TANYA MARIE, LYONS, IAN M · 2020 to 2024
$2.9M
National Institute of Child Health and Human Development R01HD100429NICHD NIH HHS R01 HD100429University of Virginia Brain Institute's Presidential Fellowship in Collaborative Neuroscience
6 · The paper itself

Abstract

Learning and memory rely on two interacting long-term memory systems: declarative memory (DM) and procedural memory (PM). The Declarative-Procedural (DP) model proposes that rule-based grammar is primarily supported by PM, but DM may also contribute-especially when tasks are explicit, unfamiliar, or when procedural representations are still undergoing consolidation. Although age-related differences in how these brain systems support grammatical processing have been identified, how this varies at the individual level among children has yet to be characterized. We used mixed-effects models of functional magnetic resonance imaging (fMRI) data to capture individual variability in brain activity among 7-year-old children in DM- and PM-linked regions during an auditory grammaticality judgment task. PM activity was selectively heightened for more difficult grammatical errors relative to correct sentences, whereas DM regions showed similarly elevated activation across conditions. Accuracy for identifying the most challenging errors was positively associated with both DM and PM activity, with comparable interindividual variability in association size across systems. These findings provide neuroscientific evidence for partially differentiated but similarly important contributions of DM and PM to grammatical error detection in childhood. They also highlight substantial individual variability in how long-term memory systems are recruited during explicit language tasks at early stages of formal language learning.

Indexed as

BrainIndividualityMemoryBrain MappingChildFemaleHumansLanguageMagnetic Resonance ImagingMaleMemory, Long-Termdeclarative-procedural modelfunctional magnetic resonance imaginggrammarindividual differenceslong-term memory

Identifiers

PMID42231605
PMCPMC13231386

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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.