Visual System Assessment for Predicting a Transition to Psychosis
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Abstract
The field of psychiatry is far from perfect in predicting which individuals will transition to a psychotic disorder. Here, we argue that the 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, exaggerated backward masking, muted collinear facilitation, reduced stereoscopic depth perception, impaired contour and shape integration, and spatially restricted fixational eye movement patterns during the free viewing of structured images. Promising brain-based markers include visual thalamo-cortical hyperconnectivity, decreased gamma band power during visual detection, and reduced visually evoked occipital P1 amplitudes (EEG). Potentially predictive retinal markers include reduced cone a- and b-wave amplitudes and reduced photopic flicker response during electroretinography. The foregoing assessments are often well-described mechanistically, implying that their findings can 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.
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- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-05-27T02:00:06.600101+00:00
License: CC-BY-4.0