Autistic Traits Affect P300 Response to Unexpected Events, regardless of Mental State Inferences
Limited use of contextual information has been suggested as a way of understanding cognition in people with autism spectrum disorder (ASD). However, it has also been argued that individuals with ASD may have difficulties inferring others’ mental states. Here, we examined how individuals with differe...
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Veröffentlicht in: | Autism Research and Treatment 2017-01, Vol.2017 (2017), p.1-10-006 |
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description | Limited use of contextual information has been suggested as a way of understanding cognition in people with autism spectrum disorder (ASD). However, it has also been argued that individuals with ASD may have difficulties inferring others’ mental states. Here, we examined how individuals with different levels of autistic traits respond to contextual deviations by measuring event-related potentials that reflect context usage. The Autism Spectrum Quotient (AQ) was used to quantify autistic-like traits in 28 university students, and 19 participants were defined as Low or High AQ groups. To additionally examine inferences about mental state, two belief conditions (with or without false belief) were included. Participants read short stories in which the final sentence included either an expected or an unexpected word and rated the word’s degree of deviation from expectation. P300 waveform analysis revealed that unexpected words were associated with larger P300 waveforms for the Low AQ group, but smaller P300 responses in the High AQ group. Additionally, AQ social skill subscores were positively correlated with evaluation times in the Unexpected condition, whether a character’s belief was false or not. This suggests that autistic traits can affect responses to unexpected events, possibly because of decreased availability of context information. |
doi_str_mv | 10.1155/2017/8195129 |
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However, it has also been argued that individuals with ASD may have difficulties inferring others’ mental states. Here, we examined how individuals with different levels of autistic traits respond to contextual deviations by measuring event-related potentials that reflect context usage. The Autism Spectrum Quotient (AQ) was used to quantify autistic-like traits in 28 university students, and 19 participants were defined as Low or High AQ groups. To additionally examine inferences about mental state, two belief conditions (with or without false belief) were included. Participants read short stories in which the final sentence included either an expected or an unexpected word and rated the word’s degree of deviation from expectation. P300 waveform analysis revealed that unexpected words were associated with larger P300 waveforms for the Low AQ group, but smaller P300 responses in the High AQ group. Additionally, AQ social skill subscores were positively correlated with evaluation times in the Unexpected condition, whether a character’s belief was false or not. This suggests that autistic traits can affect responses to unexpected events, possibly because of decreased availability of context information.</description><identifier>ISSN: 2090-1925</identifier><identifier>EISSN: 2090-1933</identifier><identifier>DOI: 10.1155/2017/8195129</identifier><identifier>PMID: 28660082</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Limiteds</publisher><subject>Analysis ; Autism ; Children ; Cognition ; Cognitive style ; Computational linguistics ; Diagnosis ; Evaluation ; Hypotheses ; Language processing ; Linguistics ; Natural language interfaces ; Pervasive developmental disorders ; Semantics ; Studies ; Theory</subject><ispartof>Autism Research and Treatment, 2017-01, Vol.2017 (2017), p.1-10-006</ispartof><rights>Copyright © 2017 Mitsuhiko Ishikawa et al.</rights><rights>COPYRIGHT 2017 John Wiley & Sons, Inc.</rights><rights>Copyright © 2017 Mitsuhiko Ishikawa et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</rights><rights>Copyright © 2017 Mitsuhiko Ishikawa et al. 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a5509-533e691af049e1ff83cb2dc408fbc701357d69d5b1ada606d88e4fce43ae9aa23</citedby><cites>FETCH-LOGICAL-a5509-533e691af049e1ff83cb2dc408fbc701357d69d5b1ada606d88e4fce43ae9aa23</cites><orcidid>0000-0002-5141-6511</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474239/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5474239/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28660082$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Berman, Robert F.</contributor><creatorcontrib>Ishikawa, Mitsuhiko</creatorcontrib><creatorcontrib>Tanabe, Hiroki C.</creatorcontrib><creatorcontrib>Itakura, Shoji</creatorcontrib><title>Autistic Traits Affect P300 Response to Unexpected Events, regardless of Mental State Inferences</title><title>Autism Research and Treatment</title><addtitle>Autism Res Treat</addtitle><description>Limited use of contextual information has been suggested as a way of understanding cognition in people with autism spectrum disorder (ASD). However, it has also been argued that individuals with ASD may have difficulties inferring others’ mental states. Here, we examined how individuals with different levels of autistic traits respond to contextual deviations by measuring event-related potentials that reflect context usage. The Autism Spectrum Quotient (AQ) was used to quantify autistic-like traits in 28 university students, and 19 participants were defined as Low or High AQ groups. To additionally examine inferences about mental state, two belief conditions (with or without false belief) were included. Participants read short stories in which the final sentence included either an expected or an unexpected word and rated the word’s degree of deviation from expectation. P300 waveform analysis revealed that unexpected words were associated with larger P300 waveforms for the Low AQ group, but smaller P300 responses in the High AQ group. Additionally, AQ social skill subscores were positively correlated with evaluation times in the Unexpected condition, whether a character’s belief was false or not. 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subjects | Analysis Autism Children Cognition Cognitive style Computational linguistics Diagnosis Evaluation Hypotheses Language processing Linguistics Natural language interfaces Pervasive developmental disorders Semantics Studies Theory |
title | Autistic Traits Affect P300 Response to Unexpected Events, regardless of Mental State Inferences |
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