Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published February 2022 | Accepted Version
Journal Article Open

Social Inferences in Agenesis of the Corpus Callosum and Autism: Semantic Analysis and Topic Modeling


Impoverished capacity for social inference is one of several symptoms that are common to both agenesis of the corpus callosum (AgCC) and Autism Spectrum Disorder (ASD). This research compared the ability of 14 adults with AgCC, 13 high-functioning adults with ASD and 14 neurotypical controls to accurately attribute social meaning to the interactions of animated triangles. Descriptions of the animations were analyzed in three ways: subjective ratings, Linguistic Inquiry and Word Count, and topic modeling (Latent Dirichlet Allocation). Although subjective ratings indicated that all groups made similar inferences from the animations, the index of perplexity (atypicality of topic) generated from topic modeling revealed that inferences from individuals with AgCC or ASD displayed significantly less social imagination than those of controls.

Additional Information

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021. Accepted 01 March 2021; Published 25 March 2021. The authors thank Dr. Ralph Adolphs and Brian Cheng for assisting with recruitment and testing of ASD participants. This research was funded in part by a Grant from Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health under Award Number R01HD092430 (LP). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Portions of this manuscript were included in the doctoral dissertations of CK and TR. Author Contributions: LP and WB designed the study. LP and CK collected the data. CK and FC administered standard scoring, MG applied Topic Modeling, and TR applied LIWC. TR, MG, CK, LP and WB analyzed the data. All authors contributed to the manuscript.

Attached Files

Accepted Version - nihms-1794630.pdf


Files (398.4 kB)
Name Size Download all
398.4 kB Preview Download

Additional details

August 22, 2023
October 23, 2023