Victor Hugo Souza

This paper introduces multichannel TMS (mTMS) for robust voxel-wise brain mapping, showing it outperforms single-coil TMS in accuracy and noise resilience.

This paper introduces an adaptive Bayesian method for localizing motor representation areas using TMS, reducing the number of stimuli needed for accurate localization.

This paper develops an EEG-guided robotic TMS system that controls both pulse timing and location in real time, improving closed-loop neurostimulation for research and clinical applications.

This study identifies TMS-EEG signal thresholds by analyzing intensity-dependent changes in TEP responses to improve individualized stimulation dosing.

This paper develops an automated algorithm for determining motor hotspots and thresholds in TMS, achieving faster and more accurate results than previous methods.

This paper characterizes an open-source electronic-robotic mTMS platform that improves the accuracy and automation of brain stimulation targeting.

This study examines how TMS-evoked EEG responses depend on the orientation of the stimulating electric field, showing strong amplitude variations in early peaks and suggesting orientation-dependent network effects.

This study investigates how the orientation of TMS-induced electric fields affects short-interval intracortical inhibition and facilitation in the motor cortex, finding optimal orientations for maximizing MEP suppression and facilitation.

The paper presents novel data using dMRI tractography-guided TMS-EEG on a single healthy young adult to better understand brain circuitry engagement during neuromodulation.

The paper develops computationally efficient average response models of cortical neurons to estimate TMS-induced stimulation thresholds based on electric field orientation.

This paper introduces a multi-channel TMS system for precise stimulus orientation control during ultra-high-field MRI in preclinical studies, enabling concurrent brain stimulation and imaging without compromising imaging quality.

This paper develops a real-time tractography-assisted TMS neuronavigation system and demonstrates its feasibility through comparison with offline tractography results.

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

This study examines coactivation and overlapping of cortical motor representations for forearm and hand muscles using nTMS, finding high overlap and stronger stimulation intensity effects on size than topography.

This paper develops an electronic TMS transducer for precise E-field orientation control and validates a model of neuronal excitability orientation selectivity.

The paper develops a multi-locus transcranial magnetic stimulation (mTMS) system that electronically controls the location and orientation of the electric field maximum in a cortical region.

This study investigates the trade-off between the number of coils and focality in multi-locus transcranial magnetic stimulation (mTMS) transducers, showing that wider cortical control is achievable with less focality.