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Published on: May 15, 2020
Vision and Psychosis: A Clinical Translational Perspective
Halide Bilge Turkozer1, Paulo Lizano2, Carol A Tamminga3
1Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Mass General Brigham, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
Altered visual systems offer a promising, cost-effective biomarker for psychosis spectrum disorders. Vision science tools can improve diagnosis and guide personalized treatments for these neurodevelopmental and neurodegenerative conditions.
Area of Science:
- Neuroscience
- Psychiatry
- Vision Science
Background:
- The visual system is a well-understood central nervous system component.
- Alterations in the visual system are increasingly recognized in psychosis spectrum disorders.
- Existing neuroimaging biomarkers for psychosis are often invasive and costly.
Purpose of the Study:
- To review the clinical translational potential of visual system alterations in psychosis spectrum disorders.
- To emphasize the relevance of visual system changes across neurodevelopmental and neurodegenerative processes.
- To highlight vision science tools as feasible, accessible, and cost-effective alternatives.
Main Methods:
- Review of current evidence on visual alterations from the retina to mid-level visual brain regions.
- Comparison of vision science tools with traditional neuroimaging biomarkers.
- Discussion of therapeutic applications of visual system assessments.
Main Results:
- Visual system alterations are clinically significant across the spectrum of psychosis.
- Vision science tools offer practical advantages over invasive neuroimaging.
- Visual assessments hold therapeutic promise for personalized treatment and symptom monitoring.
Conclusions:
- Leveraging the visual system can enhance diagnostic precision in psychosis spectrum disorders.
- Vision science tools can guide personalized treatments and monitor therapeutic responses.
- Integrating visual system assessments into clinical practice can improve patient outcomes.
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