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Visual system assessment for predicting a transition to psychosis

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 psy...

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Autores principales: Diamond, Alexander, Silverstein, Steven M., Keane, Brian P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424317/
https://www.ncbi.nlm.nih.gov/pubmed/36038544
http://dx.doi.org/10.1038/s41398-022-02111-9
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author Diamond, Alexander
Silverstein, Steven M.
Keane, Brian P.
author_facet Diamond, Alexander
Silverstein, Steven M.
Keane, Brian P.
author_sort Diamond, Alexander
collection PubMed
description 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.
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spelling pubmed-94243172022-08-31 Visual system assessment for predicting a transition to psychosis Diamond, Alexander Silverstein, Steven M. Keane, Brian P. Transl Psychiatry Perspective 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. Nature Publishing Group UK 2022-08-29 /pmc/articles/PMC9424317/ /pubmed/36038544 http://dx.doi.org/10.1038/s41398-022-02111-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
Diamond, Alexander
Silverstein, Steven M.
Keane, Brian P.
Visual system assessment for predicting a transition to psychosis
title Visual system assessment for predicting a transition to psychosis
title_full Visual system assessment for predicting a transition to psychosis
title_fullStr Visual system assessment for predicting a transition to psychosis
title_full_unstemmed Visual system assessment for predicting a transition to psychosis
title_short Visual system assessment for predicting a transition to psychosis
title_sort visual system assessment for predicting a transition to psychosis
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424317/
https://www.ncbi.nlm.nih.gov/pubmed/36038544
http://dx.doi.org/10.1038/s41398-022-02111-9
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