Neuroconnectivity Analysis in Psychosis: Implications of PCI Results in the Delineation of Biotypes
The session addressed the methodological application of the Perturbational Complexity Index (PCI) as an objective marker for patient stratification within the psychotic spectrum. The relevance of this research lies in the urgent need to transition from a symptomatic nosology toward an etiopathogenic classification, grounded in neurobiological evidence.
Key Scientific Contributions:
Biological Basis of Heterogeneity: Dr. Molina presented data supporting the existence of psychosis biotypes, differentiated by specific patterns in their functional cerebral connectivity.
Role of PCI in Subgroup Discrimination: The efficacy of PCI as a quantitative tool to discern these neurophysiological variations was detailed, enabling the identification of subpopulations with potentially distinctive circuit dysfunctions.
Translational Impact: The presented findings are crucial for the development of Precision Medicine in psychiatry. By correlating cerebral biotypes with the response to specific treatments, therapeutic selection is optimized and the variability of clinical outcomes is minimized.
This analysis represents a significant step forward in understanding the underlying mechanisms of psychosis and provides an essential roadmap for future research into targeted therapies.
Access the Audiovisual Document: https://youtu.be/L4NsU7s7Yp4