S. M. Goetz

Separating three variability and noise sources in the response fluctuation of brain stimulation

This paper develops a three-variability-source model to better describe brain stimulation input-output curves by separating physiological variability from background noise.

Optimized Monophasic Pulses with Equivalent Electric Field for Rapid-Rate Transcranial Magnetic Stimulation

This paper designs optimized monophasic TMS pulses that reduce coil heating while maintaining neuromodulation effectiveness, enabling higher pulse rates.

Three Novel Methods for Determining Motor Threshold with Transcranial Magnetic Stimulation Outperform Conventional Procedures

The paper introduces three novel methods for determining motor threshold with TMS, showing they outperform conventional approaches in accuracy and efficiency.

High Bandwidth Power Electronics and Magnetic Nanoparticles for Multichannel Magnetogenetic Neurostimulation

The paper presents a power electronic system and magnetic nanoparticles enabling three-channel magnetogenetic neurostimulation with selective heating across different frequency ranges.

Force Recruitment of Neuromuscular Magnetic Stimulation Predicted Through High-Resolution Anatomical 3D Models

The paper develops a model to predict force recruitment in neuromuscular magnetic stimulation using 3D anatomical models and experimental data.

Modular multilevel TMS device with wide output range and ultrabrief pulse capability for sound reduction

This paper introduces a modular multilevel TMS device capable of generating a wide range of pulse shapes and widths, enabling quieter TMS through shorter pulses.

Sub-second multi-channel magnetic control of select neural circuits in behaving flies

This study demonstrates sub-second, multichannel neural stimulation in flies using magnetic nanoparticles and temperature-sensitive ion channels, improving the temporal resolution of magnetogenetics.

Statistical Model of Motor Evoked Potentials for Simulation of Transcranial Magnetic and Electric Stimulation

This paper develops a statistical model of motor evoked potentials (MEPs) to simulate individualized and population-level data for transcranial stimulation applications.