Giovanni Volpe

The paper uses single-particle light scattering to reveal structural heterogeneity in biomolecular condensates formed by Ddx4N1, showing distinct populations with different physical properties.

The paper examines diurnal changes in brain network dynamics and their association with cognitive aging and Alzheimer's disease markers.

The paper uses a tissue-clearing protocol to spatially map BM-MSCs in human bones, revealing distinct microenvironment features in young and aged bones.

BRAPH 2 provides a flexible, open-source framework for network analyses in neuroscience with advanced statistical models and deep learning capabilities.

This study links structural and functional brain changes during aging using multilayer network analysis on diffusion tensor imaging and magnetoencephalography data from the Cam-CAN database, showing associations between structural connectivity and cognitive performance.

The paper integrates genomic data with single-cell transcriptomics to identify brain cell types and regions associated with psychiatric disorders and traits.

This study introduces a directed connectivity method to analyze brain networks in Parkinson's disease, finding widespread functional network changes not detected by undirected methods.

This study uses graph-theory approaches to show that tau pathology in Alzheimer's disease causes clustered dendritic spine loss, not random loss, linking tau to memory deficits through altered spine organization.

This study examines age-related differences in brain network structure and dynamic synchrony, linking white matter microstructure to cognitive control performance in older adults.

BRAPH is a MATLAB-based software for analyzing brain connectivity using graph theory, enabling structural and functional network analysis in neurological studies.