Ole Numssen

This study shows that predictive language processing during reading relies on executive resources, especially under cognitive load, and is dynamically coupled with working memory.

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

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.

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

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

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.

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.

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

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.

This study investigates the role of the right dorsolateral prefrontal cortex in memory suppression using rTMS, finding reduced suppression success with dlPFC stimulation compared to a control site.

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.

This paper explores electric field-based dosing for transcranial magnetic stimulation (TMS) to reduce variability in cortical stimulation and discusses challenges and future directions.

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.

This study uses TMS-EEG to test if Broca's area is involved in syntactic prediction, but finds no effect on ERP correlates of basic phrase composition.

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

This study investigates functional specialization within the inferior parietal lobes across cognitive domains using multivariate pattern-learning algorithms and finds domain-specific modulation of effective connectivity.

This paper introduces a method to precisely localize cortical areas stimulated by TMS using electric field modeling and MEP measurements, showing that tangential electric field magnitude and orientation are key factors.