Angela Comanducci

The paper shows that resting-state EEG criticality features predict perturbational complexity index (PCI) in disorders of consciousness, but only in specific patient subgroups.

This study investigates neural responses to interoceptive and exteroceptive attention using brain dynamics and HEP features, showing distinct patterns that can classify attentional states and assess command-following in brain-injured patients.

The paper introduces rt-TEP, a real-time visualization tool for TMS-evoked potentials that improves signal quality and parameter optimization.

This study links pathological bistability in UWS patients to reduced brain complexity using TMS/EEG and PCI measurements.

This study investigates how the spectral features of TEPs from M1 TMS depend on MEP amplitude, finding a late ERD linked to MEP strength.