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Assessing the predictive coding accounts of autism spectrum disorders

Project description

Insight into the underlying mechanisms of autism

Individuals with autism spectrum disorder (ASD) demonstrate deficits in social interactions and communication, but further insight is necessary into the underlying mechanisms of the condition. Scientists of the EU-funded PreCoASD project will address the concept that ASD is driven by a suboptimal balance between prior and sensory information precision. In the study they will conduct, participants will be subjected to visual tasks, and their prior precision estimation and perception thresholds will be evaluated using various imaging and spectroscopy techniques. Results may help explain the heterogeneous symptomatology of ASD and lead to a more defined theory of the condition.

Objective

Autism Spectrum Disorder (ASD) affects more than seven million individuals in the European Union. Yet, this neurodevelopmental disorder remains poorly accounted for. ASD is defined by persistent deficits in social interactions and communication, and by restricted interests and repetitive patterns of behaviors. Recent predictive coding theories offer potential accounts of ASD.
The predictive coding framework assumes that the brain constantly generates predictions about its environment. These predictions, or priors, are integrated with sensory information to produce a percept, and their relative contributions depend on their precisions. A suboptimal balance of prior and sensory precisions could be at the core of ASD. Theories suggest low prior precision, high sensory precision and/or inflexible ratio of precisions in ASD. Empirical evidences are scarce, and this proposal aims at testing these theories. I aim at characterizing the behavioral and neural mechanisms underlying the estimation of prior (WP1) and sensory (WP2) precisions in ASD.
In WP1, participants will perform a visual task designed to elicit the implicit learning of a prior with a high or low precision (quantifiable with computational models). The neural correlates of prior precision estimation will be investigated with functional and structural MRI, DTI, and magnetic resonance spectroscopy.
In WP2, participants will be passively exposed to fast periodic visual stimulations. Using a sweep paradigm with visual stimuli changing in magnitude of low-level features, we will determine their perception thresholds from the EEG data. Sensory precision will be estimated from both EEG and behavioral measurements of perception thresholds.
In WP3, I will integrate the results of WP1 and WP2 together to suggest a refined theory of ASD and I will relate these findings to the symptoms of ASD.
Altogether, I aim to contribute to a better understanding of the mechanisms underlying the heterogeneous symptomatology of ASD.

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Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
Net EU contribution
€ 178 320,00
Address
Oude markt 13
3000 Leuven
Belgium

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Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Activity type
Higher or Secondary Education Establishments
Links
Other funding
€ 0,00