Abstract

The field of psychiatry is far from perfect in predicting which individuals will transition to a psychotic disorder. Here, we argue that visual system assessment can help in this regard. Such assessments have generated medium-to-large group differences with individuals prior to or near the first psychotic episode or have shown little influence of illness duration in larger samples of more chronic patients. For example, self-reported visual perceptual distortions—so-called visual basic symptoms—occur in up to 2/3rds of those with non-affective psychosis and have already longitudinally predicted an impending onset of schizophrenia. Possibly predictive psychophysical markers include enhanced contrast sensitivity, prolonged backward masking, muted collinear facilitation, reduced stereoscopic depth perception, impaired contour and shape integration, and spatially restricted exploratory eye movements. Promising brain-based markers include visual thalamo-cortical hyperconnectivity, decreased occipital gamma band power during visual detection (MEG), and reduced visually evoked occipital P1 amplitudes (EEG). Potentially predictive retinal markers include diminished cone a- and b-wave amplitudes and an attenuated photopic flicker response during electroretinography. The foregoing assessments are often well-described mechanistically, implying that their findings could readily shed light on the underlying pathophysiological changes that precede or accompany a transition to psychosis. The retinal and psychophysical assessments in particular are inexpensive, well-tolerated, easy to administer, and brief, with few inclusion/exclusion criteria. Therefore, across all major levels of analysis—from phenomenology to behavior to brain and retinal functioning—visual system assessment could complement and improve upon existing methods for predicting which individuals go on to develop a psychotic disorder.

Details

Title
Visual system assessment for predicting a transition to psychosis
Author
Diamond, Alexander 1   VIAFID ORCID Logo  ; Silverstein, Steven M. 2 ; Keane, Brian P. 3 

 University of Rochester Medical Center, Department of Psychiatry, Rochester, USA (GRID:grid.412750.5) (ISNI:0000 0004 1936 9166) 
 University of Rochester Medical Center, Department of Psychiatry, Rochester, USA (GRID:grid.412750.5) (ISNI:0000 0004 1936 9166); University of Rochester Medical Center, Department of Neuroscience, Rochester, USA (GRID:grid.412750.5) (ISNI:0000 0004 1936 9166); University of Rochester, Center for Visual Science, Rochester, USA (GRID:grid.16416.34) (ISNI:0000 0004 1936 9174); University of Rochester Medical Center, Department of Ophthalmology, Rochester, USA (GRID:grid.412750.5) (ISNI:0000 0004 1936 9166) 
 University of Rochester Medical Center, Department of Psychiatry, Rochester, USA (GRID:grid.412750.5) (ISNI:0000 0004 1936 9166); University of Rochester Medical Center, Department of Neuroscience, Rochester, USA (GRID:grid.412750.5) (ISNI:0000 0004 1936 9166); University of Rochester, Center for Visual Science, Rochester, USA (GRID:grid.16416.34) (ISNI:0000 0004 1936 9174); University of Rochester, Department of Brain & Cognitive Sciences, Rochester, USA (GRID:grid.16416.34) (ISNI:0000 0004 1936 9174) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
21583188
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2707731592
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.