Mario Rosanova

Lack of vision shifts occipital dynamics toward a frontal-like regime and enhances top-down connectivity

This study shows that blindness changes occipital cortex dynamics to resemble frontal cortex, enhancing top-down connectivity and linking faster dynamics to stronger frontal influence.

Temporal fingerprints of TMS-evoked potentials across thalamocortical circuits

The paper analyzes TMS-evoked potentials (TEPs) from different cortical regions to characterize their temporal features and relates them to network properties.

Critical dynamics in spontaneous EEG predict perturbational complexity in disorders of consciousness with measurable evoked responses

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

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.

Distinct cortical excitability and connectivity profiles within the human SMA complex

This study identifies distinct neurophysiological and structural connectivity profiles in the human SMA complex using TMS-EEG and diffusion-weighted connectomics.

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.

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.

Thalamic feedback shapes brain responses evoked by cortical stimulation in mice and humans

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

Predicting Attentional Focus: Heartbeat-Evoked Responses and Brain Dynamics During Interoceptive and Exteroceptive Information Processing

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.

Criticality of resting-state EEG predicts perturbational complexity and level of consciousness during anesthesia

The paper investigates how criticality in resting-state EEG correlates with perturbational complexity and consciousness during anesthesia, finding that unconscious states show reduced criticality.

Acute pain drives different effects on local and global cortical excitability in motor and prefrontal areas: Insights into interregional and interpersonal differences in pain processing

The paper examines how acute pain affects local and global cortical excitability in motor and prefrontal areas, revealing interindividual differences in pain processing.

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.

EEG spectral exponent as a synthetic index for the longitudinal assessment of stroke recovery.

This study uses the Spectral Exponent (SE) to assess stroke recovery by comparing EEG metrics in patients and healthy controls over time.

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.

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.

Propofol-Induced Unresponsiveness is Associated with Impaired Feedforward Connectivity in the Cortical Hierarchy

This study shows propofol reduces evoked power and impairs feedforward connectivity in the cortical hierarchy during TMS.

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.

Structural constraints to information flow within cortical circuits: a TMS/EEG-dMRI study

This study maps TMS-induced EEG changes onto information flow and structural connectivity using multimodal data to show how stimulation site and brain rhythms influence functional-structural relationships.