Evidence map›Paper›PMID 36747659›Full record

ArticlebioRxiv : the preprint server for biology2023

Atypical cognitive training-induced learning and brain plasticity and their relation to insistence on sameness in children with autism.

Jin Liu, Hyesang Chang, Daniel A Abrams, Julia Boram Kang, Lang Chen, Miriam Rosenberg-Lee, Vinod Menon

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Jin LiuDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Hyesang ChangDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Daniel A AbramsDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Julia Boram KangDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Lang ChenDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Miriam Rosenberg-LeeDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Vinod MenonDepartment of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305.
Stanford University · USNeurosciences Institute · USRutgers, The State University of New Jersey · USSanta Clara University · US

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

Children with autism spectrum disorders (ASD) often display atypical learning styles, however little is known regarding learning-related brain plasticity and its relation to clinical phenotypic features. Here, we investigate cognitive learning and neural plasticity using functional brain imaging and a novel numerical problem-solving training protocol. Children with ASD showed comparable learning relative to typically developing children but were less likely to shift from rule-based to memory-based strategy. Critically, while learning gains in typically developing children were associated with greater plasticity of neural representations in the medial temporal lobe and intraparietal sulcus, learning in children with ASD was associated with more stable neural representations. Crucially, the relation between learning and plasticity of neural representations was moderated by insistence on sameness, a core phenotypic feature of ASD. Our study uncovers atypical cognitive and neural mechanisms underlying learning in children with ASD, and informs pedagogical strategies for nurturing cognitive abilities in childhood autism.

Identifiers

PMID36747659
PMCPMC9900852
OpenAlexW4318172562

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.