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

  1. Jin Liu  Is a corresponding author
  2. Hyesang Chang
  3. Daniel Arthur Abrams
  4. Julia Boram Kang
  5. Chen Lang
  6. Miriam Rosenberg-Lee
  7. Vinod Menon  Is a corresponding author
  1. Stanford University, United States
  2. Santa Clara University, United States
  3. Rutgers, The State University of New Jersey, United States

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. 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.

Data availability

The training sets have been provided in Supplementary Materials. All data that support the findings of this study will be available through the NIHM Data Archive (NDA)

Article and author information

Author details

  1. Jin Liu

    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, United States
    For correspondence
    jinliu5@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4343-2623
  2. Hyesang Chang

    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-2231-1112
  3. Daniel Arthur Abrams

    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-1255-1200
  4. Julia Boram Kang

    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Chen Lang

    Department of Psychology, Santa Clara University, Santa Clara, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Miriam Rosenberg-Lee

    Department of Psychology, Rutgers, The State University of New Jersey, Newark, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Vinod Menon

    Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, United States
    For correspondence
    menon@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.

Funding

National Institutes of Health (HD059205)

  • Vinod Menon

National Institutes of Health (MH084164)

  • Vinod Menon

National Institutes of Health (HD094623)

  • Vinod Menon

Stanford Maternal and Child Health Research Institute

  • Jin Liu

Stanford Maternal and Child Health Research Institute

  • Hyesang Chang

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Jason P Lerch, University of Oxford, United Kingdom

Ethics

Human subjects: The informed written consent was obtained from the legal guardian of each child and all study protocols were approved by the Stanford University Review Board (IRB-11849). All participants were volunteers and were treated in accordance with the American Psychological Association 'Ethical Principles of Psychologists and Code of Conduct'.

Version history

  1. Received: January 8, 2023
  2. Preprint posted: January 26, 2023 (view preprint)
  3. Accepted: August 2, 2023
  4. Accepted Manuscript published: August 3, 2023 (version 1)
  5. Version of Record published: October 4, 2023 (version 2)

Copyright

© 2023, Liu et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 1,273
    views
  • 215
    downloads
  • 4
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Jin Liu
  2. Hyesang Chang
  3. Daniel Arthur Abrams
  4. Julia Boram Kang
  5. Chen Lang
  6. Miriam Rosenberg-Lee
  7. Vinod Menon
(2023)
Atypical cognitive training-induced learning and brain plasticity and their relation to insistence on sameness in children with autism
eLife 12:e86035.
https://doi.org/10.7554/eLife.86035

Share this article

https://doi.org/10.7554/eLife.86035

Further reading

    1. Neuroscience
    Sanggeon Park, Yeowool Huh ... Jeiwon Cho
    Research Article

    The brain’s ability to appraise threats and execute appropriate defensive responses is essential for survival in a dynamic environment. Humans studies have implicated the anterior insular cortex (aIC) in subjective fear regulation and its abnormal activity in fear/anxiety disorders. However, the complex aIC connectivity patterns involved in regulating fear remain under investigated. To address this, we recorded single units in the aIC of freely moving male mice that had previously undergone auditory fear conditioning, assessed the effect of optogenetically activating specific aIC output structures in fear, and examined the organization of aIC neurons projecting to the specific structures with retrograde tracing. Single-unit recordings revealed that a balanced number of aIC pyramidal neurons’ activity either positively or negatively correlated with a conditioned tone-induced freezing (fear) response. Optogenetic manipulations of aIC pyramidal neuronal activity during conditioned tone presentation altered the expression of conditioned freezing. Neural tracing showed that non-overlapping populations of aIC neurons project to the amygdala or the medial thalamus, and the pathway bidirectionally modulated conditioned fear. Specifically, optogenetic stimulation of the aIC-amygdala pathway increased conditioned freezing, while optogenetic stimulation of the aIC-medial thalamus pathway decreased it. Our findings suggest that the balance of freezing-excited and freezing-inhibited neuronal activity in the aIC and the distinct efferent circuits interact collectively to modulate fear behavior.

    1. Neuroscience
    Jonathan S Tsay, Hyosub E Kim ... Richard B Ivry
    Review Article

    Motor learning is often viewed as a unitary process that operates outside of conscious awareness. This perspective has led to the development of sophisticated models designed to elucidate the mechanisms of implicit sensorimotor learning. In this review, we argue for a broader perspective, emphasizing the contribution of explicit strategies to sensorimotor learning tasks. Furthermore, we propose a theoretical framework for motor learning that consists of three fundamental processes: reasoning, the process of understanding action–outcome relationships; refinement, the process of optimizing sensorimotor and cognitive parameters to achieve motor goals; and retrieval, the process of inferring the context and recalling a control policy. We anticipate that this ‘3R’ framework for understanding how complex movements are learned will open exciting avenues for future research at the intersection between cognition and action.