Roberta Ghidoni

This study links obesity and type 2 diabetes to Alzheimer's disease through genetic and transcriptomic analyses, identifying shared pathways and potential drug targets.

This study shows that microglial extracellular vesicles deliver C1q to presynaptic sites, promoting synaptic pruning and linking vesicle release to synaptic remodeling.

The paper analyzes exome data from 22,319 individuals to identify rare CNVs and 22q11.21 dosage as risk factors for Alzheimer's disease.

The paper investigates the relationship between gene expression and brain atrophy in genetic frontotemporal dementia, finding correlations between atrophy patterns and specific gene sets related to vascular, glial, and neuronal functions.

The paper develops a random forest classifier to diagnose behavioral variant frontotemporal dementia using MRI and cognitive scores, achieving high accuracy in both training and validation cohorts.

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

The paper identifies a genetic variant near CXCR4 associated with increased risk for PSP and PD, showing dysregulation of CXCR4 and microglia-related genes in neurodegenerative diseases.