Stefan M. Goetz

Variants of relative frequency methods for determining transcranial magnetic stimulation motor threshold do not provide accurate estimation of threshold

This paper shows that variants of relative frequency methods for TMS motor thresholding are inaccurate and slow, recommending instead stochastic approximation or maximum likelihood estimation.

Acute Increase of Excitatory Activity in Pyramidal Neurons of Rat Motor Cortex under Static Magnetic Field

This study investigates the acute effects of static magnetic fields on excitatory synaptic activity in rat motor cortex neurons using patch-clamp recordings.

Brain-State-Resolved Consistency of Corticospinal Responses with EEG-TMS

This study investigates how pre-stimulus mu rhythm dynamics affect the consistency of corticospinal responses to TMS, finding that mu power and functional connectivity reduce MEP variability.

High-Power Dual-Channel Chamber for High-Frequency Magnetic Neuromodulation

This paper introduces a dual-channel magnetic chamber for high-frequency magnetic neuromodulation in mice, capable of generating two independent magnetic fields with minimal interference and real-time behavioral monitoring.

Practical TMS coils with maximum focality and various stimulation depths

This paper designs and validates focal-deep TMS (fdTMS) coils that improve spatial targeting precision and depth of electric field stimulation compared to conventional figure-8 coils.

Reduced Auditory Perception and Brain Response with Quiet TMS Coil

This study compares the stimulation strength, perceived loudness, and EEG response between a quiet TMS coil (qTMS-DCC) and a conventional TMS coil, finding the qTMS-DCC is quieter and produces smaller auditory-evoked potentials.

Quantitative Impact of Coil Misalignment and Misplacement in Transcranial Magnetic Stimulation

This paper quantifies how coil misalignment and positioning errors in TMS affect cortical field strength and treatment efficacy.

Identifiability analysis and noninvasive online estimation of the first-order neural activation dynamics in the brain with closed-loop transcranial magnetic stimulation

This paper develops a real-time closed-loop method for estimating neural activation dynamics and input-output curves using transcranial magnetic stimulation, showing improved accuracy over conventional methods.

A formalism for sequential estimation of neural membrane time constant and input-output curve towards selective and closed-loop transcranial magnetic stimulation

This paper develops a formalism for real-time sequential estimation of neural membrane time constant and input-output curve using transcranial magnetic stimulation, showing improved accuracy with optimal sampling.

Closed-loop and automatic tuning of pulse amplitude and width in EMG-guided controllable transcranial magnetic stimulation (cTMS)

This paper introduces a tool for automatically tuning pulse amplitude and width in EMG-guided cTMS to estimate membrane time constants and input-output curves using Fisher information matrix and normalized depolarization factor maximization.

Characterizing the short-latency evoked response to intracortical microstimulation across a multi-electrode array

The paper characterizes the short-latency neural responses to intracortical microstimulation using a multi-electrode array and describes the temporal dynamics of evoked activity.

Detection of Motor-Evoked Potentials Below the Noise Floor: Rethinking the Motor Threshold

This paper introduces a new method to detect motor-evoked potentials below the conventional noise floor, revealing that responses can be evoked at lower stimulation levels than previously thought.

Input-Output Slope Curve Estimation in Neural Stimulation Based on Optimal Sampling Principles

This paper proposes a novel input-output slope curve estimation method for neural stimulation that improves accuracy and efficiency compared to existing techniques.

Sound comparison of seven TMS coils at matched stimulation strength

The paper compares the sound levels of seven TMS coils at matched stimulation strength, finding significant variation in sound pressure levels and recommending hearing protection.

Accuracy of robotic coil positioning during transcranial magnetic stimulation

This study evaluates the accuracy and stability of a robotic TMS coil positioning system, finding low initial error but increasing error over time.

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.