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Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
Published on: August 18, 2020
Structural and functional imaging markers for susceptibility to psychosis
Christina Andreou1,2, Stefan Borgwardt3,4
1Department of Psychiatry and Psychotherapy, University of Lübeck, Lübeck, Germany.
Neuroimaging may improve prediction of psychosis in high-risk individuals, but further research is needed. Large, standardized studies are essential for clinical application of these brain imaging biomarkers.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Clinical high-risk (CHR) criteria enable early detection of individuals vulnerable to psychosis.
- A significant proportion (two-thirds) of CHR individuals do not transition to a psychotic disorder.
- Improved prognostic precision is crucial for effective intervention in CHR populations.
Purpose of the Study:
- To review current research on neuroimaging biomarkers for predicting psychotic transition in CHR patients.
- To evaluate the prognostic utility and limitations of these neuroimaging biomarkers.
- To identify future research directions for clinical applicability.
Main Methods:
- Systematic review of existing literature on structural and functional neuroimaging in CHR individuals.
- Focus on studies investigating neuroimaging as a predictor of psychotic transition.
- Analysis of the prognostic value and limitations of identified neuroimaging biomarkers.
Main Results:
- Structural and functional neuroimaging show potential as tools for predicting psychotic transition in CHR patients.
- Current research highlights the utility of various neuroimaging biomarkers.
- Significant limitations exist regarding generalizability, replicability, and standardization.
Conclusions:
- Neuroimaging biomarkers hold promise for enhancing prognostic accuracy in individuals at clinical high risk for psychosis.
- Large-scale, multimodal, and multicenter studies are necessary to overcome current limitations.
- Standardization of clinical definitions, neuroimaging methods, and consideration of contextual factors are vital for clinical translation.
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