Aapo R. Nummenmaa

This study investigates how EEG lead configurations affect TMS-induced EEG artifacts and finds that certain configurations can minimize both pulse and decay artifacts.

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 decodes auditory working memory content from EEG aftereffects of auditory-cortical TMS using multivariate pattern analysis.

This paper introduces an adaptive mesh refinement method to improve accuracy in electromagnetic simulations for brain stimulation and EEG, showing significant error reduction with minimal mesh expansion.

The paper introduces a MATLAB software package for TMS coil analysis and design, using FMM to compute fields and inductances with high accuracy.

This study uses 7T fMRI to compare brain activity during speech production and perceptual categorization, finding that left motor networks are involved in both tasks.

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.

Genetic or HF-rTMS activation of B-RAF-MEK signaling promotes CST axon sprouting and functional regeneration after spinal cord injury.

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.