Gregory M. Noetscher

The paper evaluates numerical accuracy and convergence of hippocampal electric field modeling across three methods in ECT patients, finding significant discrepancies at low resolutions.

The paper presents a multichannel LI-TMS array capable of electronically steering electric fields for network-level neuromodulation, achieving cortical fields comparable to tES without scalp contact.

The paper introduces a residual-driven adaptive mesh refinement method for charge-based boundary element modeling to improve accuracy in electrical stimulation and EEG simulations.

This paper improves the localization of auditory evoked fields using reciprocal BEM-FMM, achieving higher accuracy and focality compared to standard BEM methods.

The paper develops a computational framework to directly reconstruct mesoscale cortical conductivity maps from electron microscopy data, revealing structural heterogeneity in mouse visual cortex.

The paper analyzes synaptic cleft orientations in human and mouse brain data, finding directional biases that suggest mesoscale anisotropy in cortical layers.

This paper introduces a fast MEG source estimation method using reciprocal relationships and BEM-FMM, achieving high-resolution gain matrices for up to 1 million dipoles.

The paper constructs accurate turtle cerebellum models using microCT data and simulates neuromodulation with BEM-FMM for computational electromagnetics verification.

The paper develops a BEM-based method to solve EEG/MEG forward problems for high-resolution head models in about 60 seconds.

This paper models microscopic electric field perturbations in a mouse brain sample to assess their impact on neuronal activation thresholds, finding modest effects compared to macroscopic predictions.

The paper compares dipole source reconstruction accuracy between 3-layer and 5-layer BEM-FMM models, finding that 3-layer models provide good localization but less accurate orientation, with AMR improving 5-layer accuracy.

The paper introduces a software toolkit for high-resolution TMS modeling that balances computational speed and spatial precision using BEM-FMM, compatible with human head models.

The paper introduces a high-resolution numerical method for solving forward problems in neurophysiological recordings, showing improved accuracy and speed compared to existing methods.

The paper develops a TMS-coil modeling approach using distributed current filaments and the fast multipole method to rapidly and accurately evaluate coil designs and arrays.

The paper introduces sixteen high-resolution human head CAD models for electromagnetic and acoustic simulations, generated from HCP MRI data using SimNIBS 2.1 in MATLAB.

This paper designs and analyzes a whole-body non-contact electromagnetic stimulation device with field modulation, demonstrating its safety and potential for chronic pain treatment.

This study computes the activating function and surface charge density of a cortical neuron under an external electric field using BEM-FMM, showing significant perturbations and improved accuracy compared to prior methods.