Francesco Cardinale

The paper uses spatial glycomics to show that N-glycan abnormalities in MOGHE are linked to hypomyelination and are more pronounced in pediatric cases.

This study examines how phase synchronization and phase-amplitude coupling change across sleep and wakefulness in the human brain, identifying state-specific patterns and differences between epileptogenic and non-epileptogenic regions.

This study investigates the relationship between delta-band synchrony and beta-gamma bistability in sleep-related epilepsy, finding they synergistically contribute to seizure generation.

The paper examines how REM sleep affects large-scale brain network dynamics and links this to its reduced epileptogenicity by analyzing SEEG recordings from epilepsy patients.

The paper shows scalp EEG can predict intracranial brain activity in humans, with accuracy varying by region, depth, and frequency.

The paper compares ten ESI methods using in-vivo EEG data to evaluate their accuracy and parameter sensitivity in localizing focal brain sources.

This paper compares AnonyMI, a new MRI deidentification method, with state-of-the-art methods to evaluate their effectiveness in reducing re-identification risk while preserving geometrical information.

This study shows that high-gamma activity (HGA) in human cortex can be synchronized across distant brain regions, revealing a new form of neuronal communication distinct from lower-frequency synchronization.

This paper provides an open dataset of EEG recordings from precisely known brain locations to evaluate source localization methods.

The paper uses SEEG recordings to show multisensory signals in early visual and auditory cortices during an audio-visual task, revealing cross-modal responses and frequency-specific modulations.