Carsten Hermann Wolters

This paper uses artificial neural networks to classify interictal epileptiform discharges in EEG data from a patient with focal epilepsy, achieving high accuracy in signal and source space analyses.

The paper estimates lower bounds of electrophysiological power dissipation in human gray matter using MEG data, finding it significantly lower than metabolic estimates.

This study applies personalized tDCS targeting V5 to modulate sensorimotor integration during pursuit eye movements, showing specific effects on pursuit initiation.

This paper reports on respiration-modulated changes in excitation-inhibition balance and interictal spike timing in a focal epilepsy patient using MEG.

The paper applies personalized alpha-tACS to the left parietal cortex and finds it enhances left hemifield attention and reduces posterior EEG lateralization.

The paper develops and validates a new EEG source localization algorithm using BEM-FMM, reciprocity principle, and TES forward model matrix, achieving high-resolution source reconstruction with low computational cost.

This study simulates individually targeted transcranial electric stimulation (tES) using finite-element methods and head models to assess how anatomical differences affect electric field properties and efficacy.