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Carsten H. Wolters (1967-)

Mathematiker

Name	Carsten H. Wolters
Zeit	1967- (Lebensdaten)
Ort	Emsdetten (Geburtsort) Deutschland
Akademischer Grad bzw. Titel	Prof. Dr. rer. nat.
Beruf	Mathematiker (charakteristischer Beruf)
Variante	Carsten Hermann Wolters
Weitere Angaben	From 1997 to 2004, he was with the Max Planck Institutes for Human Cognitive and Brain Sciences and Mathematics in the Sciences, Leipzig; Since 03/2005, Research Associate with the Institute for Biomagnetism and Biosignalanalysis (IBB) at the University of Münster
Datensatztyp	Person
GND-Nummer	124921124
Datensatz-ID	124921124
Beteiligt an alle anzeigen Modeling and measuring the effects of individually optimized multi-channel transcranial direct current stimulation on the human brain Can individually targeted and optimized multi-channel tDCS outperform standard bipolar tDCS in stimulating the primary somatosensory cortex? Identification of causal structure-function relationships in the human motor cortex with non-invasive brain stimulation DUNEuro—A software toolbox for forward modeling in bioelectromagnetism Validating EEG, MEG and Combined MEG and EEG Beamforming for an Estimation of the Epileptogenic Zone in Focal Cortical Dysplasia Individually optimized multi-channel tDCS for targeting somatosensory cortex The effect of experimental and modeling parameters on combined EEG/MEG source analysis and transcranial electric stimulation optimization of somatosensory and epilepsy activity The Discontinuous Galerkin Finite Element Method for Solving the MEG and the Combined MEG/EEG Forward Problem The Effect of Head Model Simplification on Beamformer Source Localization The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component The Effect of Head Model Simplification on Beamformer Source Localization Skull defects in finite element head models for source reconstruction from magnetoencephalography signals Combined EEG and MEG source analysis of epileptiform activity using calibrated realistic finite element head models Combined EEG/MEG can outperform single modality EEG or MEG source reconstruction in presurgical epilepsy diagnosis Combined EEG/MEG Can Outperform Single Modality EEG or MEG Source Reconstruction in Presurgical Epilepsy Diagnosis Leakage effect in hexagonal FEM meshes of the EEG forward problem Comparison of direct and reciprocal forward modeling approaches in EEG source analysis Influence of finite element discretization on the EEG/MEG forward solution in rabbits Recent advances in modeling and analysis of bioelectric and biomagnetic sources Recent advances in modeling and analysis of bioelectric and biomagnetic sources Recent advances in modeling and analysis of bioelectric and biomagnetic sources Influence of tissue conductivity inhomogeneity and anisotropy on EEG/MEG based source localization in the human b brain Influence of tissue conductivity inhomogeneity and anisotropy on EEG/MEG based source localization in the human brain

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Carsten H. Wolters (1967-)

Modeling and measuring the effects of individually optimized multi-channel transcranial direct current stimulation on the human brain

Can individually targeted and optimized multi-channel tDCS outperform standard bipolar tDCS in stimulating the primary somatosensory cortex?

Identification of causal structure-function relationships in the human motor cortex with non-invasive brain stimulation

DUNEuro—A software toolbox for forward modeling in bioelectromagnetism

Validating EEG, MEG and Combined MEG and EEG Beamforming for an Estimation of the Epileptogenic Zone in Focal Cortical Dysplasia

Individually optimized multi-channel tDCS for targeting somatosensory cortex

The effect of experimental and modeling parameters on combined EEG/MEG source analysis and transcranial electric stimulation optimization of somatosensory and epilepsy activity

The Discontinuous Galerkin Finite Element Method for Solving the MEG and the Combined MEG/EEG Forward Problem

The Effect of Head Model Simplification on Beamformer Source Localization

The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component

The effect of stimulation type, head modeling, and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component

The Effect of Head Model Simplification on Beamformer Source Localization

Skull defects in finite element head models for source reconstruction from magnetoencephalography signals

Combined EEG and MEG source analysis of epileptiform activity using calibrated realistic finite element head models

Combined EEG/MEG can outperform single modality EEG or MEG source reconstruction in presurgical epilepsy diagnosis

Combined EEG/MEG Can Outperform Single Modality EEG or MEG Source Reconstruction in Presurgical Epilepsy Diagnosis

Leakage effect in hexagonal FEM meshes of the EEG forward problem

Comparison of direct and reciprocal forward modeling approaches in EEG source analysis

Influence of finite element discretization on the EEG/MEG forward solution in rabbits

Recent advances in modeling and analysis of bioelectric and biomagnetic sources

Recent advances in modeling and analysis of bioelectric and biomagnetic sources

Recent advances in modeling and analysis of bioelectric and biomagnetic sources

Influence of tissue conductivity inhomogeneity and anisotropy on EEG/MEG based source localization in the human b brain

Influence of tissue conductivity inhomogeneity and anisotropy on EEG/MEG based source localization in the human brain