P. Bonifazi

This paper introduces a voxel-wise O-information framework to analyze high-order functional interactions in neuroimaging data, revealing age-related changes in default mode network redundancy.

This study investigates the coupling between structural connectivity and high-order functional interactions in the human brain, finding that structural networks are associated with both redundant and synergistic functional interactions.

This study uses partial correlation on fMRI data to better align functional connectivity with structural connectivity, showing improved matches with regularization and thresholding.

The paper provides open datasets and code to study multi-scale relationships between structural, functional, and neuro-genetic aspects of the human brain.

The paper defines lipid profiles for five brain cell types and maps their spatial distribution using mass spectrometry imaging.

This study shows that inhibiting STAT3 signaling during epileptogenesis prevents epileptic activity, cell loss, and inflammatory glial states in an in vitro model.

The paper links hubness in brain networks to embryonic neurogenesis, showing that earlier-born nodes become stronger hubs and are associated with genes related to neurological diseases.

The paper analyzes structural and dynamical functional connectivity in cerebellar networks and finds lower variability in dynamical functional connectivity in the posterior cerebellum compared to other brain regions.

This study shows that microglial phagocytosis dysfunction in a genetic epilepsy model is linked to local neuronal activity, suggesting a role for neuronal activity in phagocytosis impairment.

The paper develops a spiking network model to identify two types of driver cells in developing neuronal networks and explains their roles in synchronization dynamics.

The paper studies spontaneous dynamics in in vitro neuronal networks to identify intrinsic memory phenomena through analysis of functional connectivity and event similarity.

The paper estimates brain-connectome age using structural and functional connectivity data and finds physical activity reduces this estimated age.

The paper uses diffusion-tensor brain networks from ADNI data to compare connectivity patterns across Alzheimer’s disease severity stages, finding progressive disconnections in memory-related and other brain networks.

This study investigates how traumatic brain injury (TBI) reorganizes brain networks, finding increased functional and structural connectivity in prefrontal regions linked to behavioral deficits.