Our area of research is the development of new methods for bioelectromagnetism and their application in neurophysiological experiments for studying the human brain. This includes EEG/MEG source analysis techniques for reconstructing brain networks with highest temporal and appropriate spatial resolution using prior information from structural and diffusion-weighted magnetic resonance imaging (DW-MRI) or functional MRI and developing improved brain stimulation methods for the manipulation of neuronal networks. We think that an iterative process of reconstructing and manipulating neuronal networks allows deep insight in the working brain. Our working group has contributed new approaches for a combined analysis of EEG/MEG/MRI data, new inverse source analysis algorithms, realistic inhomogeneous and anisotropic head modeling techniques using the finite element method (FEM) for source analysis and transcranial brain stimulation. We developed new techniques for susceptibility correction and non-linear registration of DW-MRI and fMRI. We examined complete (CEM) and point electrode models (PEM) and investigated FEM head volume conductor modeling sensitivities to, e.g., skull layeredness, holes and sutures, current channeling CSF, brain anisotropy and insulating ECoG grids in combined ECoG/EEG epilepsy investigations. We are applying the new methodologies for improving presurgical epilepsy diagnosis and the analysis of evoked and induced brain activity.
Ruthotto L, Kugel H, Olesch J, Fischer B, Modersitzki J, Burger M, Wolters CH (2012). Diffeomorphic susceptibility artifact correction of diffusion-weighted magnetic resonance images. Phys Med Biol 57(18): 5715-5731.
Lucka F, Pursiainen S, Burger M, Wolters CH (2012). Hierarchical Bayesian Inference for the EEG Inverse Problem using Realistic FE Head Models: Depth Localization and Source Separation for Focal Primary Currents. NeuroImage 61(4):1364-1382.
Neuling T, Rach S, Wagner S, Wolters CH, Herrmann CS (2012). Good vibrations: oscillatory phase shapes perception. NeuroImage 63(2):771-778.
Wolters CH, Köstler H, Möller C, Härdtlein J, Grasedyck L and Hackbusch W (2007). Numerical mathematics of the subtraction approach for the modeling of a current dipole in EEG source reconstruction using finite element head models. SIAM J Sci Comput 30(1):24-45.
Wolters CH, Anwander A, Tricoche X, Weinstein D, Koch MA and McLeod RS (2006). Influence of tissue conductivity anisotropy on EEG/MEG field and return current computation in a realistic head model: A simulation and visualization study using high-resolution finite element modelling. Neuroimage 30(3):813-826.