Alessandro Padovani

This study uses HDsEMG to show that corticospinal transmission during rTMS is bandpass-like, with strongest transmission between 20-50 Hz and frequency-specific synaptic input increases.

This study identifies novel plasma proteins associated with KIF5A-linked SPG10 and ALS using targeted proteomics, revealing distinct proteomic signatures and potential biomarkers.

This paper performs a large meta-analysis of GWAS in dementia with Lewy bodies, identifying sex-specific genetic risk signals and highlighting the need for larger cohorts.

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.

This study identifies CAP2 as a regulator of Cofilin in synaptic plasticity, showing its role in LTP and its disruption in Alzheimer’s disease.

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.

This study identifies genetic overlaps between frontotemporal dementia and immune-mediated diseases, finding strong enrichment with rheumatoid arthritis and moderate enrichment with other immune conditions.