Thomas R. Knösche

One placement, many fields: robust voxel-wise mapping with multichannel TMS

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

Real-time posterior probabilistic TMS motor mapping with robust individualized stopping criteria

This paper develops a real-time TMS motor mapping method using rank correlation and posterior probability maps, improving efficiency and individualization over traditional sigmoid fitting.

Spinal Recurrent Inhibition Shapes the Dynamics of TMS-induced Motor-Evoked Potentials: A Computational Modeling Study

This study presents a computational model of the motor pathway that reproduces individual MEP waveforms and reveals the critical role of spinal recurrent inhibition in shaping their temporal structure.

Optimal Pre-Experimental Coil Sequence Selection for TMS Motor Mapping

The paper develops methods to optimize TMS coil sequences for motor mapping by reducing redundancy and improving efficiency in robotic TMS platforms.

Adaptive Bayesian localization of motor representation areas

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

Cortical Stimulation Strength and sgACC Connectivity Shape Neuro-Cardiac Responses to Prefrontal TMS

This study shows that cortical electric-field strength and connectivity to the subgenual anterior cingulate cortex better predict neuro-cardiac responses to prefrontal TMS than conventional motor-threshold-based dosing.

Improved Source Localization of Auditory Evoked Fields using Reciprocal BEM-FMM

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

Direct Reconstruction of DC Cortical Conductivity from Large-Scale Electron Microscopy Data

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

Optimizing and assessing multichannel TMS focality

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.

Target-Specificity and Repeatability in Neuro-Cardiac-Guided TMS for Heart-Brain Coupling

This study examines how TMS targeting the DLPFC affects heart-brain coupling, finding non-linear effects based on stimulation intensity and target location.

Effects of Electric Field Direction on TMS-based Motor Cortex Mapping

This study evaluates three TMS models for motor cortex mapping, finding that the magnitude and neuron models perform similarly, while the cosine model is less effective and requires more trials.

A New Method for Optimal Placement of Tumor Treating Fields Electrodes

This paper introduces a computational method for optimizing TTFields electrode placement, showing improved electric field intensity and coverage compared to clinical standards and random placements.

High-Definition MEG Source Estimation using the Reciprocal Boundary Element Fast Multipole Method

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.

A Coupling Model of Transcranial Magnetic Stimulation Induced Electric Fields to Neural State Variables

This paper introduces a coupling model that translates TMS-induced electric fields into neural state variables by simulating cortical circuits and synaptic interactions.

High-Resolution EEG Source Reconstruction from PCA-Corrected BEM-FMM Reciprocal Basis Funcions: A Study with Visual Evoked Potentials from Intermittent Photic Stimulation

A Leadfield-Free Optimization Framework for Transcranially Applied Electric Currents

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

Long-Range Input to Cortical Microcircuits Shapes EEG-BOLD Correlation

This study uses a mathematical model of cortical microcircuits to show that input variability affects EEG-BOLD correlations, revealing negative alpha-BOLD and positive gamma-BOLD relationships.

Characterising Structural Brain Connectivity of Patients with First Episode of Psychosis

This study examines structural connectivity disruptions in patients with first episode schizophrenia, finding reduced connectivity in specific brain regions linked to cognitive and language functions.

Statistical method accounts for microscopic electric field distortions around neurons when simulating activation thresholds

The paper introduces a statistical method to adjust macroscopic electric field predictions by accounting for microscopic field distortions caused by brain microstructure, improving alignment with experimental neuron activation thresholds.

Fast and Accurate EEG/MEG BEM-Based Forward Problem Solution for High-Resolution Head Models

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

Enabling Electric Field Model of Microscopically Realistic Brain

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.

Accuracy of dipole source reconstruction in the 3-layerBEM model against the 5-layer BEM-FMM model

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.

Directional Sensitivity of Cortical Neurons Towards TMS Induced Electric Fields

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

Modeling the Effects of Transcranial Magnetic Stimulation on Spatial Attention

This study investigates how transcranial magnetic stimulation affects spatial attention using biophysical modeling and fMRI, finding limited correlation between electric fields and behavior but selective attentional inhibition in some subjects.

Laminar Neural Dynamics of Auditory Evoked Responses: Computational Modeling of Local Field Potentials in Auditory Cortex of Non-Human Primates

The paper models auditory evoked responses in non-human primate auditory cortex using LFP data to identify cell-type specific contributions to neural dynamics across cortical layers.

White Matter Brain Structure Predicts Language Performance and Learning Success

The paper links white matter brain structure to individual differences in language processing and learning success through specific network motifs identified via diffusion tractography.

Effect of contact pressure on porcine postmortem brain tissue impedance

This study shows that contact pressure variation has minimal effect on porcine postmortem brain tissue impedance, with a coefficient of variation under 3%.

Computational Properties of the Visual Microcircuit

The paper models the visual microcircuit in the mouse primary visual cortex, showing that superficial and deep layers implement bistable switches based on inhibitory connectivity between SST, PV, and VIP cells, leading to state transitions with distinct oscillatory patterns.

Modelling the effect of ephaptic coupling on spike propagation in peripheral nerve fibres

This study develops a computationally efficient model to simulate spike propagation in peripheral nerve bundles, showing that axon diameter heterogeneity affects ephaptic coupling and synchronisation.

Efficient high-resolution TMS mapping of the human motor cortex by nonlinear regression

This paper introduces a method to map the human motor cortex with high resolution using nonlinear regression of electric fields and motor evoked potentials.