Structural and Functional Neuroimaging Biomarkers as Predictors of Psychosis Conversion in Ultra-High Risk Individuals: A Systematic Review
Neuroimaging biomarkers, particularly medial temporal and prefrontal structural alterations, functional dysconnectivity, and white matter abnormalities, demonstrate moderate-to-large effect sizes in predicting UHR conversion. Multimodal approaches combining structural, functional, and neurochemical measures show promise for individualized risk prediction and early intervention targeting in precision prevention strategies.
Authors
- Luca Persico
- Valerio Ricci (ORCID: https://orcid.org/0000-0003-1717-2530)
- Tommaso Piro
- Nicola Ciraselli (ORCID: https://orcid.org/0009-0008-5546-4618)
- A. Inserra
- G. Maina
- G. Martinotti
- Mauro Pettorruso
Institutions
- University of Chieti-Pescara (IT)
- Ospedale San Luigi Gonzaga (IT)
- University of Turin (IT)
Publication Details
- Journal
- Brain Sciences
- Published
- 2026-01-20
- DOI
- https://doi.org/10.3390/brainsci16010112
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00