September 2023
Volume 23, Issue 11
Open Access
Optica Fall Vision Meeting Abstract  |   September 2023
Poster Session: Visual System Assessment for Predicting a Transition to Psychosis
Author Affiliations
  • Alex Diamond
    University of Rochester
  • Steven Silverstein
    University of Rochester
  • Brian Keane
    University of Rochester
Journal of Vision September 2023, Vol.23, 45. doi:https://doi.org/10.1167/jov.23.11.45
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      Alex Diamond, Steven Silverstein, Brian Keane; Poster Session: Visual System Assessment for Predicting a Transition to Psychosis. Journal of Vision 2023;23(11):45. https://doi.org/10.1167/jov.23.11.45.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Visual system assessments are seldom regarded as a viable way to predict a future psychotic disorder. Here, we argue that may be a missed opportunity. From a large literature, we identify a set of visual tests that have distinguished individuals prior to or near the first psychotic episode or that have shown group differences independently of illness duration. Such tests have revealed moderate-to-large patient differences unexplainable by medication or generalized deficits. For example, self-reported visual perceptual distortions have already longitudinally predicted impending psychosis in large samples. Possibly predictive psychophysical tests include contrast sensitivity, backward masking, collinear facilitation, stereoscopic depth perception, contour integration, visual shape completion, and restricted fixational patterns during free viewing. Possible brain based markers include visual thalamo-cortical hyperconnectivity, decreased gamma band power during visual detection, and reduced occipital P1 amplitudes (EEG) during passive viewing. Promising retinal markers include reduced cone a- and b-wave amplitudes and photopic negative response (ERG). The foregoing assessments are often brief, well-tolerated, simple to administer, and well-described mechanistically. Across all major levels of analysis—from phenomenology to behavior to brain and retinal functioning—visual system assessment could help identify individuals who go on to develop a psychotic disorder.

Footnotes
 Funding: Funding: This work was supported in part by a K01MH108783 to BPK, and by a University of Rochester Medical Center Department of Psychiatry Hendershot Pilot Award Program. Former department lab member Megan Serody contributed to initial literature searches for this project.
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