Andrea Pigorini

This study evaluates how well electrical source imaging reconstructs neural time series using simultaneous scalp and intracranial EEG recordings, finding limited temporal reconstruction and spatial leakage.

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 paper compares the electrophysiological effects of transcranial magnetic stimulation (TMS) and intracranial electrical stimulation (IES) using scalp EEG recordings in different brain states.

This study shows that TMS-evoked potentials (TEPs) can have distinct spatiotemporal patterns lasting up to 300 ms when targeting specific cortical areas, challenging the view that later components are due to sensory inputs.

The paper investigates how cortical stimulation engages subcortical circuits in mice and humans, showing similar evoked potentials and thalamic contributions across species.

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

This study examines the electrophysiological state of the isolated cortex after hemispherotomy in awake humans, finding sleep-like activity without spindles.

The paper uses electrophysiology and modeling to show that high-order brain regions have higher excitability due to recurrent feedback, revealing a gradient linked to cortical hierarchy.

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 uses computational models to explain how cortical reactivity changes with adaptation, linking findings from human studies to theoretical frameworks.

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 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.

TAAC generates customized masking noises to reduce auditory confounds in TMS-EEG studies, achieving effective masking at lower sound pressure levels than standard methods.

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

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 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.

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.