Ezequiel Mikulan

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.

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.

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 examines neural information dynamics during bistable perception, finding distinct patterns of integration and differentiation in neural activity for endogenously and exogenously driven percepts.