Torge Worbs

The paper uses histological data and computational models to identify myelinated axon bends as potential targets for TMS, showing they have physiologically realistic activation thresholds.

This study develops a framework to optimize and assess multichannel TMS focality, showing mTMS systems can achieve performance comparable to single-channel TMS for deeper cortical targets.

The paper shows that single pointwise E-field samples cannot predict neural activation thresholds, as thresholds depend on spatial integration of the E-field along the neural cable.

The paper introduces a leadfield-free optimization framework for determining optimal electrode montages in brain stimulation techniques, demonstrating its effectiveness across multiple applications.

The paper optimizes a finite-element method for faster electric field calculations in transcranial magnetic stimulation, achieving higher update rates with reduced computational resources.

This paper introduces a method for optimizing the position and shape of deformable TMS coils based on individual head anatomy, improving electric field simulations and enabling systematic dose-response comparisons.

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