Predictive sentence comprehension during story-listening in autism spectrum disorder
Abstract
Individuals with Autism Spectrum Disorder (ASD) show a range of language production deficits, however, language comprehension in ASD remains under-studied in part because co-morbid social deficits affect behavioural compliance. This challenge can be overcome by engaging participants in a naturalistic task while passively collecting neural signals. To test predictive processing with naturalistic language, we collect MEG data while 16 8–12-year-old high-functioning participants with a clinical diagnosis of ASD and 16 age- and gender-matched typically developing peers listen to an audiobook story. The neuromagnetic signals are correlated with word-by-word states from a computational model that quantifies incremental sentence predictions in terms of surprisal. Consistent with prior eye-tracking work, our results are compatible with predictive parsing that is equivalent between high-functioning individuals with ASD and TD peers.
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Bilateral temporal effect for sentence-context linguistic predictions in an early time-window (26-254 ms) is found for both high-functioning ASD children and TD peers aged 3-6 years.
“Results showed bilateral temporal effect for sentence-context linguistic predictions in an early time-window (from 26 to 254 ms), for both high-functioning ASD children and TD peers with 3–6 years old (Brennan et al. 2019).”
From Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing (2023) · cites this paper as Brennan et al. 2019
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- Authors
- Brennan, J. R., Lajiness-O'Neill, R., Bowyer, S., Kovelman, I., & Hale, J. T.
- Affiliations
- University of Michigan (US)
- Eastern Michigan University (US)
- Henry Ford Hospital (US)
- University of Georgia (US)
- Corresponding author
- Brennan, Jonathan R.
- Venue
- Language, Cognition and Neuroscience
- Publisher
- Informa UK Limited
- Published
- 2018-12-30
- Volume
- 34
- Issue
- 4
- Pages
- 428-439
- ISSN
- 2327-3798 (ISSN-L)
- 2327-3801
- OpenAlex
- W2907775363
- Cited by
- 19
- References
- 68
- Citations by year
- 2025: 8 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 1
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Language Cognition and Neuroscience (publishedVersion)
- Funders
- University of Michigan (1607251, 1607441)
- National Science Foundation
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Keywords
- autism spectrum disorder, sentence comprehension, predictive processing, story listening, MEG, computational modeling, information content, incremental parsing, language comprehension, high-functioning autism
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