It's all in the timing: Delayed feedback in autism may weaken predictive mechanisms during contour integration.

bioRxiv

The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA.

Published: January 2024

Humans rely on predictive mechanisms during visual processing to efficiently resolve incomplete or ambiguous sensory signals. While initial low-level sensory data are conveyed by feedforward connections, feedback connections are believed to shape sensory processing through conveyance of statistical predictions based on prior exposure to stimulus configurations. Individuals with autism spectrum disorder (ASD) show biases in stimulus processing toward parts rather than wholes, suggesting their sensory processing may be less shaped by statistical predictions acquired through prior exposure to global stimulus properties. Investigations of illusory contour (IC) processing in neurotypical (NT) adults have established a well-tested marker of contour integration characterized by a robust modulation of the visually evoked potential (VEP) - the - that occurs over lateral occipital scalp during the timeframe of the N1 component. Converging evidence strongly supports the notion that this indexes a signal with significant feedback contributions. Using high-density VEPs, we compared the in 6-17-year-old children with ASD (n=32) or NT development (n=53). Both groups of children generated an that was equivalent in amplitude. However, the notably onset 21ms later in ASD, even though timing of initial VEP afference was identical across groups. This suggests that feedforward information predominated during perceptual processing for 15% longer in ASD compared to NT children. This delay in the feedback dependent , in the context of known developmental differences between feedforward and feedback fibers, suggests a potential pathophysiological mechanism of visual processing in ASD, whereby ongoing stimulus processing is less shaped by statistical prediction mechanisms.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10827178PMC
http://dx.doi.org/10.1101/2024.01.16.575908DOI Listing

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