Paola Dazzan

The paper examines the relationship between white matter microstructure, measured by fractional anisotropy, and transition to psychosis in individuals at clinical high risk, finding directionally consistent but small associations.

This study examines psychotic-like experiences in children born very preterm compared to full-term controls in two cohorts, finding increased vulnerability in perceptual abnormalities but no replication in a population-based cohort.

The paper examines longitudinal white matter changes in early psychosis using diffusion tensor imaging and finds no significant group differences or associations with symptom progression, but links antipsychotic medication dose to lower fractional anisotropy.

This study identifies a consistent cortical signature of very preterm birth across development and links it to neurodevelopmental outcomes.

This paper addresses structured missingness in biomedical data by introducing a hierarchical imputation framework and advocating for alternative evaluation metrics.

The paper uses network analysis to compare cognitive and behavioral trait interactions between very preterm and full-term children, finding distinct topological differences in their networks.

The paper identifies 617 novel genomic loci and pathways associated with structural covariance patterns in the human brain using a stochastic multivariate factorization method.

This work develops normative models of brain growth and aging using neuroimaging data to quantify variability across disorders and improve case-control inferences.

This paper introduces MAGIC, a multi-scale semi-supervised clustering method for brain imaging data to identify disease subtypes, and evaluates its performance on simulated and clinical datasets.

This study identifies genetic variants linked to longitudinal brain structure changes across the lifespan using MRI data from 15,640 individuals.