Evidence map›Paper›PMID 41648151›Full record

ArticlebioRxiv : the preprint server for biology2026

From cognitive abstraction to adaptive behavior: neural bases of concept learning in autistic adolescents.

Yijun Chen, Brylee Hawkins, Hannah Puckett, Kat Sharp, Andrea Lopez, Dagmar Zeithamova, Hua Xie, Alyssa Verbalis, Ashley S Van Meter, William D Gaillard and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yijun ChenDepartment. of Psychology, Georgetown University, Washington, DC.ORCID 0000-0001-8632-8012
Brylee HawkinsDepartment. of Psychology, Georgetown University, Washington, DC.
Hannah PuckettDepartment. of Psychology, Georgetown University, Washington, DC.
Kat SharpChildren's Research Institute, Children's National Hospital, Washington, DC.
Andrea LopezChildren's Research Institute, Children's National Hospital, Washington, DC.
Dagmar ZeithamovaDepartment. of Psychology, University of Oregon, Eugene, Oregon.
Hua XieChildren's Research Institute, Children's National Hospital, Washington, DC.
Alyssa VerbalisChildren's Research Institute, Children's National Hospital, Washington, DC.
Ashley S Van MeterCenter for Functional and Molecular Imaging, Georgetown University Medical Center, Washington, DC.
William D GaillardChildren's Research Institute, Children's National Hospital, Washington, DC.
Lauren KenworthyChildren's Research Institute, Children's National Hospital, Washington, DC.
Chandan J VaidyaDepartment. of Psychology, Georgetown University, Washington, DC.

Funding

Neurobehavioral Evaluation CoreP50HD105328 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI WILLIAM Davis GAILLARD · 2021 to 2026
$9.3M
NICHD NIH HHS P50 HD105328
6 · The paper itself

Abstract

backgroundLearned knowledge does not consistently generalize to new contexts in autistic individuals, limiting potential for adapting to real-world demands. This challenge is hypothesized to stem from difficulties with forming abstract representations, potentially arising from perceptual processing that favors local details over the gestalt. We tested the prediction that generalization would be primarily based on exemplar-specific representations in autistic youth using computational modelling coupled with neuroimaging.

methodsSixty-four autistic adolescents without intellectual disability (69% males; ages 14-18 years) completed a category generalization task during functional magnetic resonance imaging at two time points. Computational models estimated abstract (prototype-based) and specific (exemplar-based) representations and underlying neural correlates. We further examined associations with adaptive functioning and moderation by autistic traits.

resultsContrary to predictions, we observed a consistent prototype-dominant majority, a subgroup who generalized without consistent representational reliance, and a small minority who failed to acquire category structure. Prototypes were represented in bilateral ventromedial prefrontal cortex (VMPFC), inferior parietal lobule (IPL), right frontal pole, and right lateral occipital cortex, while exemplars were represented in bilateral cuneus. Better generalization predicted better real-world adaptive functioning. Moreover, greater prototype-related activation in left IPL predicted better adaptive functioning in participants with higher autistic traits.

conclusionsThese findings challenge the prevailing view that concept learning in autism relies primarily on hyper-specific perceptual processing, identify meaningful variability in representational strategies, and reveal neural pathways through which abstract representation may support real-world adaptive behavior.

Indexed as

adaptive functioningautismcomputational modellingexemplarmodel-based fMRIprototype

Identifiers

PMID41648151
PMCPMC12871721

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.