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Predictive Processing Among Individuals with Autism Spectrum Disorder During Online Language Comprehension: A Preliminary Systematic Review.

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Title: Predictive Processing Among Individuals with Autism Spectrum Disorder During Online Language Comprehension: A Preliminary Systematic Review.
Authors: Qi, Junli (AUTHOR), Peng, Jing (AUTHOR), Kang, Xin (AUTHOR)
Source: Journal of Autism & Developmental Disorders. May2026, Vol. 56 Issue 5, p1920-1933. 14p.
Subjects: Language & languages, Research funding, Autism, Phonological awareness, Eye movement measurements, Descriptive statistics, Linguistics, Systematic reviews, MEDLINE, Asperger's syndrome, Online information services, Semantics, Speech perception, Reaction time
Abstract: The present study aims to fill the research gap by evaluating published empirical studies and answering the specific research question: Can individuals with autism spectrum disorder (ASD) predict upcoming linguistic information during real-time language comprehension? Following the PRISMA framework, an initial search via PubMed, Web of Science, SCOPUS, and Google Scholar yielded a total of 697 records. After screening the abstract and full text, 10 studies, covering 350 children and adolescents with ASD ranging from 2 to 15 years old, were included for analysis. We found that individuals with ASD may predict the upcoming linguistic information by using verb semantics but not pragmatic prosody during language comprehension. Nonetheless, 9 out of 10 studies used short spoken sentences as stimuli, which may not encompass the complexity of language comprehension. Moreover, eye-tracking in the lab setting was the primary data collection technique, which may further limit the generalizability of the research findings. Using a narrative approach to synthesize and evaluate the research findings, we found that individuals with ASD may have the ability to predict the upcoming linguistic information. However, this field of research still calls for more studies that will expand the scope of research topics, utilize more complex linguistic stimuli, and employ more diverse data collection techniques. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="AR" term="%22Qi%2C+Junli%22">Qi, Junli</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Peng%2C+Jing%22">Peng, Jing</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kang%2C+Xin%22">Kang, Xin</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Autism+%26+Developmental+Disorders%22">Journal of Autism & Developmental Disorders</searchLink>. May2026, Vol. 56 Issue 5, p1920-1933. 14p.
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  Data: The present study aims to fill the research gap by evaluating published empirical studies and answering the specific research question: Can individuals with autism spectrum disorder (ASD) predict upcoming linguistic information during real-time language comprehension? Following the PRISMA framework, an initial search via PubMed, Web of Science, SCOPUS, and Google Scholar yielded a total of 697 records. After screening the abstract and full text, 10 studies, covering 350 children and adolescents with ASD ranging from 2 to 15 years old, were included for analysis. We found that individuals with ASD may predict the upcoming linguistic information by using verb semantics but not pragmatic prosody during language comprehension. Nonetheless, 9 out of 10 studies used short spoken sentences as stimuli, which may not encompass the complexity of language comprehension. Moreover, eye-tracking in the lab setting was the primary data collection technique, which may further limit the generalizability of the research findings. Using a narrative approach to synthesize and evaluate the research findings, we found that individuals with ASD may have the ability to predict the upcoming linguistic information. However, this field of research still calls for more studies that will expand the scope of research topics, utilize more complex linguistic stimuli, and employ more diverse data collection techniques. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Autism & Developmental Disorders is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10803-024-06704-9
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 1920
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      – SubjectFull: Language & languages
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Autism
        Type: general
      – SubjectFull: Phonological awareness
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      – SubjectFull: Eye movement measurements
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Linguistics
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      – SubjectFull: Systematic reviews
        Type: general
      – SubjectFull: MEDLINE
        Type: general
      – SubjectFull: Asperger's syndrome
        Type: general
      – SubjectFull: Online information services
        Type: general
      – SubjectFull: Semantics
        Type: general
      – SubjectFull: Speech perception
        Type: general
      – SubjectFull: Reaction time
        Type: general
    Titles:
      – TitleFull: Predictive Processing Among Individuals with Autism Spectrum Disorder During Online Language Comprehension: A Preliminary Systematic Review.
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            NameFull: Qi, Junli
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            NameFull: Peng, Jing
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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