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Predictive coding in autism spectrum disorder and attention deficit hyperactivity disorder

Gonzalez-Gadea, Maria Luz, Chennu, Srivas, Bekinschtein, Tristan A., Rattazzi, Alexia, Beraudi, Ana, Tripicchio, Paula, Moyano, Beatriz, Soffita, Yamila, Steinberg, Laura, Adolfi, Federico, and others. (2015) Predictive coding in autism spectrum disorder and attention deficit hyperactivity disorder. Journal of Neurophysiology, 114 (5). pp. 2625-2636. ISSN 0022-3077. E-ISSN 1522-1598. (doi:10.1152/jn.00543.2015) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:54631)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1152/jn.00543.2015

Abstract

Predictive coding has been proposed as a framework to understand neural processes in neuropsychiatric disorders. We used this approach to describe mechanisms responsible for attentional abnormalities in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). We monitored brain dynamics of 59 children (8-15 yr old) who had ASD or ADHD or who were control participants via high-density electroencephalography. We performed analysis at the scalp and source-space levels while participants listened to standard and deviant tone sequences. Through task instructions, we manipulated top-down expectation by presenting expected and unexpected deviant sequences. Children with ASD showed reduced superior frontal cortex (FC) responses to unexpected events but increased dorsolateral prefrontal cortex (PFC) activation to expected events. In contrast, children with ADHD exhibited reduced cortical responses in superior FC to expected events but strong PFC activation to unexpected events. Moreover, neural abnormalities were associated with specific control mechanisms, namely, inhibitory control in ASD and set-shifting in ADHD. Based on the predictive coding account, top-down expectation abnormalities could be attributed to a disproportionate reliance (precision) allocated to prior beliefs in ASD and to sensory input in ADHD.

Item Type: Article
DOI/Identification number: 10.1152/jn.00543.2015
Uncontrolled keywords: ADHD; ASD; MMN; P300; predictive coding
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Srivas Chennu
Date Deposited: 13 Apr 2016 10:03 UTC
Last Modified: 17 Aug 2022 11:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/54631 (The current URI for this page, for reference purposes)

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