Lino Nobili

This study links scalp EEG N140/SAN to intracranial insulo-opercular activity, showing they are manifestations of the same neural response to somatosensory stimuli.

This study examines brain dynamics during unusual bodily experiences and out-of-body experiences, finding reduced neural hierarchy and increased EEG complexity.

This study identifies shared neurophysiological patterns in pediatric and adult non-rapid eye movement parasomnias using EEG and source-space analysis.

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.

This study uses advanced EEG analysis to assess cortical maturation in preterm infants by examining oscillatory dynamics during different vigilance states.

The paper develops a probabilistic model to identify epileptogenic networks using interictal SEEG data, achieving high classification accuracy with a reduced feature space.

This paper applies a statistical complexity measure to human neurophysiology data to differentiate states of consciousness, finding it increases with psychedelic substances and differentiates sleep stages.

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

The paper uses SEEG data to identify stable, frequency-specific modules in phase-synchronization connectomes that are anatomically contiguous and functionally related.

The paper shows that individual differences in brain synchronization levels correlate with power-law long-range temporal correlations, with variations in healthy and epileptic brain regions.

This paper compares cortico-cortical evoked potentials (CCEPs) recorded via invasive SEEG and non-invasive hd-EEG during SPES, showing hd-EEG's sensitivity to stimulation parameters and its ability to capture whole-brain dynamics.

This paper identifies critical-like bistable dynamics in the resting-state human brain, showing their functional and clinical significance across frequency bands.

This study shows that fast oscillations >40Hz detected with high-density EEG can accurately localize the epileptogenic zone, outperforming conventional EEG methods.

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.

The paper identifies genuine cross-frequency coupling networks in human resting-state brain activity using MEG and SEEG data, showing distinct mechanisms for coupling oscillations across frequencies.

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

The paper introduces PCIST, a fast method to estimate perturbational complexity of brain signals, validated on TMS/hd-EEG and SEEG data, showing comparable accuracy to the original PCI with improved speed and applicability.