Adults with autism overestimate the volatility of the sensory environment

The authors address why the use of prior expectations might be compromised in autism, by using computational models and pupillometric markers of the neuromodulator noradrenaline. They show that by estimating the world to be more changeable than it really is, adults with autism have difficulty in lea...

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Vydané v:	Nature neuroscience Ročník 20; číslo 9; s. 1293 - 1299
Hlavní autori:	Lawson, Rebecca P, Mathys, Christoph, Rees, Geraint
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Nature Publishing Group US 01.09.2017 Nature Publishing Group
Predmet:	631/378/116/2396 631/378/2649/1723 631/378/3917 Aberration Acoustic Stimulation - methods Adult Adults Animal Genetics and Genomics Association Learning - physiology Autism Autistic Disorder - physiopathology Autistic Disorder - psychology Bayesian analysis Behavioral Sciences Biological Techniques Biomedicine Diagnostic systems Environment Environmental conditions Eye Movements - physiology Female Human acts Human behavior Humans Influence Interpersonal relations Intolerance Machine learning Male Middle Aged Neurobiology Neurosciences Norepinephrine Pervasive developmental disorders Photic Stimulation - methods Psychological research Pupil size Reaction Time - physiology Sensory Thresholds - physiology Volatility Young Adult
ISSN:	1097-6256, 1546-1726, 1546-1726
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Popis
Shrnutí:	The authors address why the use of prior expectations might be compromised in autism, by using computational models and pupillometric markers of the neuromodulator noradrenaline. They show that by estimating the world to be more changeable than it really is, adults with autism have difficulty in learning what to expect. Insistence on sameness and intolerance of change are among the diagnostic criteria for autism spectrum disorder (ASD), but little research has addressed how people with ASD represent and respond to environmental change. Here, behavioral and pupillometric measurements indicated that adults with ASD are less surprised than neurotypical adults when their expectations are violated, and decreased surprise is predictive of greater symptom severity. A hierarchical Bayesian model of learning suggested that in ASD, a tendency to overlearn about volatility in the face of environmental change drives a corresponding reduction in learning about probabilistically aberrant events, thus putatively rendering these events less surprising. Participant-specific modeled estimates of surprise about environmental conditions were linked to pupil size in the ASD group, thus suggesting heightened noradrenergic responsivity in line with compromised neural gain. This study offers insights into the behavioral, algorithmic and physiological mechanisms underlying responses to environmental volatility in ASD.
Bibliografia:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	1097-6256 1546-1726 1546-1726
DOI:	10.1038/nn.4615