Matteo Fecchio

Recognizing EEG responses to active TMS vs. sham stimulations in different TMS-EEG datasets: a machine learning approach

This study uses a BiLSTM machine learning model to distinguish TMS-evoked EEG responses from sham stimulations across multiple datasets, achieving high accuracy with few trials.

Extracting Reproducible Components from Electroencephalographic Responses to Transcranial Magnetic Stimulation with Group Task-Related Component Analysis

This paper introduces gTRCA, a method to extract reproducible TEP components across trials and subjects, showing it reliably identifies key features of motor TEPs in TMS-EEG data.

Transcranial magnetic vs intracranial electric stimulation: a direct comparison of their effects via scalp EEG recordings

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

The spatiotemporal evolution of TMS-evoked potentials reflects direct cortical activation

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.

Visualizing Effective Connectivity in the Human Brain

The paper introduces STREAM-4D, a tool linking TMS-EEG and diffusion MRI to visualize effective connectivity in the human brain, revealing structural connections related to TMS-evoked activity.

Adaptation shapes local cortical reactivity: from bifurcation diagram and simulations to human physiological and pathological responses

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

Simultaneous stereo-EEG and high-density scalp EEG recordings to study the effects of intracerebral stimulation parameters

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.

Local brain-state dependency of effective connectivity: evidence from TMS-EEG

This study investigates how pre-stimulus cortical oscillation phases affect TMS-evoked effective connectivity patterns using TMS-EEG in three subjects.

TAAC - TMS Adaptable Auditory Control: a universal tool to mask TMS click

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 rt-TEP tool: real-time visualization of TMS-Evoked Potential to maximize cortical activation and minimize artifacts

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

Local sleep-like cortical reactivity in the awake brain after focal injury

This study shows that focal brain injuries lead to local sleep-like dynamics in the surrounding cortex, disrupting signal complexity while coexisting with wakefulness patterns.

Assessing the Intra- and Inter-Subject Reliability of the Perturbational Complexity Index (PCI) of Consciousness for Three Brain Regions Using TMS-EEG

The paper assesses the reliability of the Perturbational Complexity Index (PCI) across three brain regions using TMS-EEG in healthy adults, finding high reliability for parietal and motor sites.

A fast and general method to empirically estimate the complexity of brain responses to transcranial and intracranial stimulations

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.

Sleep-like bistability, loss of causality and complexity in the brain of Unresponsive Wakefulness Syndrome patients

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

TMS orientation and pulse waveform manipulation activates different neural populations: direct evidence from TMS-EEG

This study shows that different TMS pulse waveforms and coil orientations activate distinct neural populations in the premotor cortex, as evidenced by variations in TEP components.

The Spectral Features Of EEG Responses To Transcranial Magnetic Stimulation Of The Primary Motor Cortex Depend On The Amplitude Of The Motor Evoked Potentials

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