From SimBio - A generic environment for bio-numerical simulations

Jump to: navigation, search

References by year (list is by far not complete)



  1. Neugebauer, F., Antonakakis, M., Unnwongse, K., Parpalev, J., Wellmer, J., Rampp, S., Wolters, C.H.,"Validating EEG, MEG and combined MEG and EEG beamforming for an estimation of the epileptogenic zone in focal cortical dysplasia,", Brain Sciences, 12(1), 114, [link PDF], 2022.doi. [Neugebauer2022]
  2. Khan, A., Antonakakis, M., Vogenauer, N., Haueisen, J., Wolters, C.H.,"Individually optimized multi-channel tDCS for targeting somatosensory cortex,", Clin. Neurophysiol., 134:9-26, [link PDF], 2022.doi.



  1. Antonakakis, M., The Effect of Experimental and Modeling Parameters on Combined EEG/MEG Source Analysis and Transcranial Electric Stimulation Optimization of Somatosensory and Epilepsy Activity, PhD Thesis, Supervisors: Wolters and Haueisen, pdf, (2021). [Antonakakis2021]


  1. Radecke, J.-O., Khan, A., Engel, A.K., Wolters, C.H. and Schneider, T.R.,"Individual targeting increases control over inter-individual variability in simulated transcranial electric fields", IEEE Access, pp.1-15, [link PDF], 2020.doi. [Radecke2020]
  2. Antonakakis, M., Schrader, S., Aydin, Ü., Khan, A., Gross, J., Zervakis, M., Rampp, S. and Wolters, C.H.,"Inter-Subject Variability of Skull Conductivity and Thickness in Calibrated Realistic Head Models", NeuroImage, 223:117353, [link PDF], 2020.doi.



  1. Vorwerk, J., Hanrath, A., Wolters, C.H. and Grasedyck, L.,"The multipole approach for EEG forward modeling using the finite element method", NeuroImage, 201:1-9, [link PDF], 2019.doi. [Vorwerk2019b]
  2. Dachwitz, A., Accurate Methods to Compute the MEG Forward Problem Master Thesis in Physics, Supervisors: Wolters and Kamps, Fachbereich Physik, University of Münster, Germany, pdf, (2019).


  3. Antonakakis, M., Schrader, S., Wollbrink, A., Oostenveld, R., Rampp, S., Haueisen, J. and Wolters, C.H.,"The effect of stimulation type, head modeling and combined EEG and MEG on the source reconstruction of the somatosensory P20/N20 component", Human Brain Mapping, in press, [link PDF], 2019.doi.


  4. Marino, M., Arcara, G., Porcaro, C., and Mantini, D.,"Hemodynamic Correlates of Electrophysiological Activity in the Default Mode Network", Front. Neurosci., 04, [link PDF], 2019.doi.


  5. Vorwerk, J., Aydin, Ü., Wolters, C.H. and Butson, C.R.,"Influence of head tissue conductivity uncertainties on EEG dipole reconstruction", Frontiers in Neuroscience, 13:531, [link PDF], 2019.doi.


  6. Rimpiläinen, V., Koulouri, A., Lucka, F., Kaipio, J.P. and Wolters, C.H.,"Improved EEG Source Localization with Bayesian Uncertainty Modelling of Unknown Skull Conductivity,", NeuroImage, 188:252-260, [link PDF], 2019.doi.


  7. Cuartas Morales, E., Acosta-Medina, C.D., Castellanos-Dominguez, G. and Mantini, D.,"A Finite-Difference Solution for the EEG Forward Problem in Inhomogeneous Anisotropic Media", Brain Topogr 32:229, [link PDF], 2019.doi.



  1. Liu, Q., Ganzetti, M., Wenderoth, N. and Mantini, D.,"Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization", Front. Neuroinform., [link PDF], 2018.doi. [Liu2018]
  2. Vorwerk, J., Oostenveld, R., Piastra, M.C., Magyari, L. and Wolters, C.H.,"The FieldTrip-SimBio Pipeline for EEG Forward Solutions", BioMedical Engineering OnLine, 17:37, [link PDF], 2018.doi.


  3. Baltus, A., Wagner, S. and Wolters, C.H., Herrmann, C.S.,"Optimized auditory transcranial alternating current stimulation improves individual auditory temporal resolution", Brain Stimulation,11(1):118-124, [link PDF], 2018.doi.



  1. Neugebauer, F., Möddel, G., Rampp, S., Burger, M. and Wolters, C.H.,"The effect of head model simplification on beamformer source localization,", Frontiers in Neuroscience,11:625, [link PDF], 2017.doi. [Neugebauer2017]
  2. Aydin, Ü, Rampp, S., Wollbrink, A., Kugel, H., Cho, J.-H., Knösche, T.R., Grova, C., Wellmer, J. and Wolters, C.H.,"Zoomed MRI guided by combined EEG/MEG source analysis: A multimodal approach for optimizing presurgical epilepsy work-up and its application in a multi-focal epilepsy patient case study", Brain Topography,30(4):417-433, [link PDF], 2017.doi.



  1. Vorwerk J., New Finite Element Methods to Solve the EEG/MEG Forward Problem PhD Thesis in Mathematics, Supervisors: Wolters and Engwer, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2016). [Vorwerk2016]
  2. Wagner, S., Burger, M. and Wolters, C.H.,"An optimization approach for well-targeted transcranial direct current stimulation,", SIAM Journal on Applied Mathematics 76(6):2154-2174, [link PDF], 2016.PDF, doi, URL.


  3. Fiederer, L.D.J., Lahr, J., Vorwerk, J., Lucka, F., Aertsen, A., Wolters, C.H., Schulze-Bonhage, A. and Ball, T.,"Electrical Stimulation of the Human Cerebral Cortex by Extracranial Muscle Activity: Effect Quantification with Intracranial EEG and FEM Simulations,", IEEE Trans Biomed Eng 63(12):2552-2563, [link PDF], 2016.PDF, PubMed, doi.


  4. Wagner, S., Lucka, F., Vorwerk, J., Herrmann, C.S., Nolte, G., Burger, M. and Wolters, C.H.,"Using reciprocity for relating the simulation of transcranial current stimulation to the EEG forward problem,", NeuroImage 140:163-173, [link PDF], 2016.PDF, PubMed, doi, URL.


  5. Kunze, T., Hunold, A., Haueisen, J., Spiegler, A.,"Transcranial direct current stimulation changes resting state functional connectivity: A large-scale brain network modeling study,", NeuroImage 149:174-187, [link PDF], 2016.PDF, PubMed, doi, URL.


  6. Lau, S., Güllmar, D., Flemming, L., Grayden, D.B., Cook, M.J., Wolters, C.H., Haueisen, J.,"Skull defects in finite element head models for source reconstruction from magnetoencephalography signals,", Frontiers in Neuroscience 10(141):1-15, [link PDF], 2016.PDF, PubMed, doi, URL.


  7. Lau, S., Petkovic, B., Haueisen, J.,"Optimal magnetic sensor vests for cardiac source imaging,", Sensors 16(6):Article 754, 17 pages, [link PDF], 2016.PDF, doi.


  8. Fiederer, L.D.J., Vorwerk, J., Lucka, F., Dannhauer, M., Yang, S., Dümpelmann, M., Schulze-Bonhage, A., Aertsen, A. Speck, O., Wolters, C.H. and Ball, T.,"The role of blood vessels in high-resolution volume conductor head modeling of EEG,", NeuroImage 128:193-208, [link PDF], 2016.PDF, PubMed, doi, URL.



  1. Wagner S., Optimizing tCS and TMS multi-sensor setups using realistic head models PhD Thesis in Mathematics, Supervisors: Wolters and Burger, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2015). [Wagner2015]
  2. Aydin Ü, Combined EEG and MEG source analysis of epileptiform activity using calibrated realistic finite element head models PhD Thesis in Biomed.Eng., Supervisors: Wolters and Haueisen, University of Münster, Germany, PDF, (2015).


  3. Aydin, Ü, Vorwerk, J., Dümpelmann, M., Küpper, P., Kugel, H., Heers, M., Wellmer, J., Kellinghaus, C., Haueisen, J., Rampp, S., Stefan, H. and Wolters, C.H.,"Combined EEG/MEG Can Outperform Single Modality EEG or MEG Source Reconstruction in Presurgical Epilepsy Diagnosis", PLoS ONE 10(3):e0118753, [link PDF], 2015.PubMed, doi.


  4. Lucka F., Bayesian Inversion in Biomedical Imaging PhD Thesis in Mathematics, Supervisors: Burger and Wolters, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2015).


  5. Lau S., Validating MEG and EEG finite element head models using a controlled rabbit experiment of skull defects, PhD Thesis in Biomedical Engineering and Informatics, Institute for Biomedical Engineering and Informatics, Technische Universität Ilmenau, Germany, and Department of Electrical and Electronic Engineering, University of Melbourne, Australia, (2015).


  6. Cho, J.-H., Vorwerk, J., Wolters, C.H., Knösche, T.R.,"Influence of the head model on EEG and MEG source connectivity analysis", NeuroImage 110:60-77, [link PDF], 2015.PDF,PubMed, doi.


  7. Schmidt, C., Wagner, S., Burger, M., van Rienen, U. and Wolters, C.H.,"Impact of Uncertain Head Tissue Conductivity in the Optimization of Transcranial Direct Current Stimulation for an Auditory Target", J. Neural Eng. 12(4):046028 (11pp), [link PDF], 2015.PDF, PubMed, doi, URL.


  8. Bauer, M., Pursiainen, S., Vorwerk, J., Köstler, H. and Wolters, C.H.,"Comparison Study for Whitney (Raviart-Thomas) Type Source Models in Finite Element Method Based EEG Forward Modeling", IEEE Trans. Biomed. Eng. 62(11):2648-2656, [link PDF], 2015.PDF, PubMed, doi.



  1. Lanfer B., Automatic Generation of Volume Conductor Models of the Human Head for EEG Source Analysis PhD Thesis in Mathematics, Supervisors: Wolters and Scherg and Burger, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2014). [Lanfer2015]
  2. Vorwerk, J., Cho, J.-H., Rampp, S., Hamer, H., Knösche, T.R., Wolters, C.H.,"A Guideline for Head Volume Conductor Modeling in EEG and MEG", NeuroImage 100:590-607, [link PDF], 2014.PDF,PubMed, doi.


  3. Aydin, Ü., Vorwerk, J., Küpper, P., Heers, M., Kugel, H., Galka, A., Hamid, L., Wellmer, J., Kellinghaus, C., Rampp, S. and Wolters, C.H.,"Combining EEG and MEG for the reconstruction of epileptic activity using a calibrated realistic volume conductor model", PLoS ONE 9(3):e93154 (17pp), [link PDF], 2014.PubMed, doi.


  4. Wagner, S., Rampersad, S.M., Aydin, Ü., Vorwerk, J., Oostendorp, T.F., Neuling, T., Herrmann, C.S., Stegeman, D.F. and Wolters, C.H.,"Investigation of tDCS volume conduction effects in a highly realistic head model", J. Neural Eng. 11:016002(14pp), [link PDF], 2014.PubMed, doi.



  1. Lew, S., Sliva, D., Choe, M.-s., Grant, P.E., Okada, Y., Wolters, C.H. and Hämäläinen, M.S.,,"Effects of sutures and fontanels on MEG and EEG source analysis in a realistic infant head model", NeuroImage 76:282-293, [link PDF], 2013. PDF, PubMed, doi, URL. [Lew2013]
  2. Lanfer, B., Röer, C., Scherg, M., Rampp, S., Kellinghaus, C., and Wolters, C.H.,,"Influence of a silastic ECoG grid on EEG/ECoG based source analysis", Brain Topography 26(2):212-228, [link PDF], 2013. PDF, PubMed, doi, URL.


  3. Dannhauer, M., Lämmel, E., Wolters, C.H. and Knösche, T.R.,,"Spatio-temporal Regularization in Linear Distributed Source Reconstruction from EEG/MEG - A Critical Evaluation", Brain Topography 26(2), pp.229-246, [link PDF], 2013. PDF, PubMed, doi.


  4. Meyer, F., Convergent adaptive Finite Element Methods for the solution of the EEG forward problem with the help of the subtraction method Master Thesis in Mathematics, Supervisors: Ohlberger and Wolters, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2013).



  1. Neuling, T., Rach, S., Wagner, S., Wolters, C.H. and Herrmann, C.S.,"Good vibrations: oscillatory phase shapes perception", NeuroImage 63(2):771-778, [link PDF], 2012. PDF PubMed, doi, URL. [Neuling2012a]
  2. Neuling, T., Wagner, S., Wolters, C.H., Zaehle, T. and Herrmann, C.S.,"Finite element model predicts current density distribution for clinical applications of tDCS and tACS", Front. Psychiatry, 3(83):1-10, [link PDF], 2012. PDF, PubMed, doi.


  3. Lanfer, B., Scherg, M., Dannhauer, M., Knösche, T.R., Burger, M. and Wolters, C.H.,"Influences of Skull Segmentation Inaccuracies on EEG Source Analysis", NeuroImage 62(1):418-431, [link PDF], 2012. PDF, PubMed, doi.


  4. Lucka, F., Pursiainen, S., Burger, M. and Wolters, C.H.,"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, [link PDF], 2012. PDF, PubMed, doi, URL.


  5. Lanfer, B., Paul-Jordanov, I., Scherg, M. and Wolters, C.H.,"Influence of interior cerebrospinal fluid compartments on EEG source analysis", Biomedical Engineering, 57(Suppl.1):623-626, [link PDF], 2012. PDF, PubMed, Eprint.


  6. Vorwerk, J., Clerc, M., Burger, M. and Wolters, C.H.,"Comparison of Boundary Element and Finite Element Approaches to the EEG Forward Problem", Biomedical Engineering, 57(Suppl.1):795-798, [link PDF], 2012. PDF, PubMed, Eprint.



  1. Dannhauer, M., Lanfer, B., Wolters, C.H. and Knösche, T.,"Modeling of the human skull in EEG source analysis", Human Brain Mapping, 32(9):1383-1399, [link PDF], 2011. PDF, PubMed, Eprint. [Dannhauer2011]
  2. Wagner, S., An adjoint FEM approach for the EEG Forward Problem Diploma Thesis in Mathematics, Supervisors: Burger and Wolters, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2011).


  3. Vorwerk,J., Comparison of Numerical Approaches for the EEG Forward Problem Diploma Thesis in Mathematics, Supervisors: Burger and Wolters, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2011).


  4. Lucka, F. Hierarchical Bayesian Approaches to the Inverse Problem of EEG/MEG Current Density Reconstruction Diploma Thesis in Mathematics, Supervisors: Burger and Wolters, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2011).



  1. Steinsträter, O., Sillekens, S., Junghöfer, M., Burger, M., and Wolters, C.H.,"Sensitivity of beamformer source analysis to deficiencies in forward modeling", Human Brain Mapping 31(12):1907-1927, [link PDF], 2010. PDF, PubMed, Eprint. [Steinstraeter2010]
  2. Sander, T.H., Knösche, T.R., Schlögl, A., Kohl, F., Wolters, C.H., Haueisen, J. and Trahms, L.,"Recent advances in modeling and analysis of bioelectric and biomagnetic sources", Biomedical Engineering, 55:65-76, [link PDF], 2010. PDF, PubMed, Eprint.


  3. Wolters, C.H., Lew, S., MacLeod, R.S., Hämäläinen, M.S.,"Combined EEG/ MEG source analysis using calibrated finite element head models", Proc.of the 44th Annual meeting of the DGBMT, [link PDF], 2010. PDF, Web.



  1. Dümpelmann, M. and Fell, J. and Wellmer, J., Urbach, H. and Elger, C.E.,"3D source localization derived from subdural strip and grid electrodes: A simulation study.", Clinical Neurophysiology 120 (2009) 1061–1069, [link PDF], 2009., doi. [Duempelmann2009a]
  2. Lew, S. and Wolters, C.H. and Dierkes, T., Roeer, C. and MacLeod, R.S.,"Accuracy and run-time comparison for different potential approaches and iterative solvers in finite element method based EEG source analysis.", Applied Numerical Mathematics 59(8):1970-1988, [link PDF], 2009. PDF, doi.


  3. F. Drechsler, C.H. Wolters, T. Dierkes, H. Si and L. Grasedyck,"A full subtraction approach for finite element method based source analysis using constrained Delaunay tetrahedralisation.", NeuroImage 46(4):1055-1065, [link PDF], 2009. doi.


  4. Lew, S., Wolters, C.H., Anwander, A., Makeig, S. and MacLeod, R.S.,"Improved EEG source analysis using low resolution conductivity estimation in a four-compartment finite element head model.", Human Brain Mapping, 30:2862-2878, [link PDF], 2009. PDF, PubMed, doi.


  5. Rullmann, M., Anwander, A., Dannhauer, M., Warfield, S.K., Duffy, F.H., and Wolters, C.H.,"EEG source analysis of epileptiform activity using a 1mm anisotropic hexahedra finite element head model", NeuroImage 44:399-410, [link PDF], 2009. PDF.



  1. Güllmar, D. Anisotropic EEG/MEG volume conductor modeling based on Diffusion Tensor Imaging. PhD in Engineering, Institute of Biomedical Engineering and Informatics, Computer Science and Automation Department, University of Ilmenau, Germany, PDF, (2008). [Guellmar2008]
  2. Lew S. Conductivity estimation with EEG/MEG Brain Source Localization in a Finite Element Head Model. PhD in Biomedicine, Scientific Computing and Imaging Institute, University of Utah, USA, in cooperation with the Institute for Biomagnetism and Biosignalanalysis, University of Münster, Germany, PDF, (2008).


  3. Röer, C. Source Analysis of Simultaneous EEG and iEEG Measurements in Presurgical Epilepsy Diagnosis Diploma Thesis in Physics, Institute for Biomagnetism and Biosignalanalysis in cooperation with R.Friedrich, Institute for Theoretical Physics, University of Münster, Germany, PDF, (2008).


  4. Lau, S., Eichardt, R., Di Rienzo, L. and Haueisen, J.,"Tabu search optimization of magnetic sensor systems for magnetocardiography", IEEE Transactions on Magnetics 44(6):1442-1445, [link PDF], 2008.


  5. Maktabi, M. Discretization sensitivity of the forward solution in FEM-based bioelectric simulations of the head - Investigations with the Saint Venant dipole model. Diploma Thesis in Biomedical Engineering, Institute for Bioedical Engineering and Informatics in cooperation with the Biomagnetic Center Jena, [[1]], (2008).


  6. Baumgarten, D., Liehr, M., Wiekhorst, F., Steinhoff, U., Muenster, P., Miethe, P., Trahms, L. and Haueisen, J.,"Magnetic nanoparticle imaging by means of minimum norm estimates from remanence measurements", Medical and Biological Engineering and Computing 46(12):1177-1185, [link PDF], 2008.


  7. Sillekens, S. Infuence of Volume Conduction on Beamformer Source Analysis in the Human Brain Diploma Thesis in Mathematics, Supervisors: Burger and Wolters, Fachbereich Mathematik und Informatik, University of Münster, Germany, PDF, (2008).



  1. Lanfer, B.Validation and comparison of realistic head modeling techniques and application to combined somatosensory EMEG data Diploma Thesis in Physics, Institute for Biomagnetism and Biosignalanalysis in cooperation with S.Demokritov, Nonlinear Magnetic Dynamics, Institute for Applied Physics, University of Münster, Germany, PDF, (2007). [Lanfer2007]
  2. Dannhauer, M. EEG/MEG source reconstruction with the sLORETA algorithm, Diploma Thesis in Informatics, Fakultät für Mathematik und Informatik, University of Leipzig in cooperation with the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, PDF, (2007).


  3. Wolters C.H., de Munck, J.C.,"Volume conduction.", Encyclopedia of Computational Neuroscience, Scholarpedia, 2(3):1738, [link PDF], 2007. HTML.


  4. Wolters, C.H., Anwander, A., Berti, G. and Hartmann, U.,"Geometry-adapted hexahedral meshes improve accuracy of finite element method based EEG source analysis.", IEEE Trans. Biomed. Eng., Vol.54, No.8, pp.1446-1453, [link PDF], 2007. Wolters et al, IEEE Trans Biomed Eng, 2017.


  5. Wolters, C.H., Köstler, H., Möller, C., Härdtlein, J. and Anwander, A.,"Numerical approaches for dipole modeling in finite element method based source analysis.", International Congress Series, vol.1300, pp.189-192, [link PDF], 2007. PDF, Webversion.


  6. Wolters, C.H., Köstler, H., Möller, C., Härdtlein, J., Grasedyck, L., and Hackbusch, W.,"Numerical mathematics of the subtraction approach for the modeling of a current dipole in EEG source reconstruction using finite element head models.", SIAM J. on Scientific Computing, vol.30, issue 1, pp.24-45,, [link PDF], 2007. PDF.


  7. Möller, C.Behandlung von Potentialsingularitäten der EEG/MEG-basierten Rekonstruktion dipolarer Stromquellen in Finite-Elemente-Volumenleitermodellen des menschlichen Kopfes, Diploma Thesis in Informatics, Department of Computer Science 10, University Erlangen-Nuremberg, in cooperation with the Institute for Biomagnetism and Biosignalanalysis, University of Münster, Germany, PDF, (2005).


  8. Lew, S., Wolters C.H., Anwander, A., Makeig, S. and MacLeod, R.S.,"Low resolution conductivity estimation to improve source localization.", International Congress Series, vol.1300, pp.149-152, [link PDF], 2007. PDF, Webversion.



  1. Wolters, C.H., Anwander, A., Tricoche, X., Weinstein, D., Koch, M.A., and MacLeod, R.S.,"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 Modeling.", NeuroImage, Vol.30, Issue 3, pp.813-826, [link PDF], 2006. PDF. Paper evaluated for Faculty of 1000 Biology. [Wolters2006]
  2. D. Güllmar, J. Haueisen, M. Eiselt, F. Giessler, L. Flemming, A. Anwander, T. Knösche, C.H. Wolters, M. Dümpelmann, D.S. Tuch and J.R. Reichenbach,"Influence of Anisotropic Conductivity on EEG source reconstruction: Investigations in a rabbit model.", IEEE Trans. Biomed. Eng., Vol. 53, No. 9, pp. 1841-1850, [link PDF], 2006. PDF.



  1. Wolters, C.H., Anwander, A., Tricoche, X., Lew, S. and Johnson, C.R.,,"Influence of Local and Remote White Matter Conductivity Anisotropy for a Thalamic Source on EEG/MEG Field and Return Current Computation.", Int.Journal of Bioelectromagnetism, Vol.1,pp.203-206, [link PDF], 2005. PDF, Webversion. [Wolters2005]


  1. Wolters, C.H., Grasedyck, L. and Hackbusch, W.,"Efficient Computation of Lead Field Bases and Influence Matrix for the FEM-based EEG and MEG Inverse Problem.", Inverse Problems, 20 (4), pp. 1099 - 1116, [link PDF], 2004. PDF. [Wolters2004]

2003 and before

  1. Wolters, C.H. Influence of Tissue Conductivity Inhomogeneity and Anisotropy on EEG and MEG based Source Localization in the Human Brain MPI of Cognitive Neuroscience Leipzig, MPI Series in Cognitive Neuroscience, ISBN: 3-936816-11-5, also: Leipzig, Univ., PhD thesis in Mathematics, PDF, Webversion, (2003). [Wolters2003]
  2. Wolters, C.H., Kuhn, M., Anwander, A. and Reitzinger, S.,"A parallel algebraic multigrid solver for finite element method based source localization in the human brain.", Comp.Vis.Sci., 5(3), pp.165-177, [link PDF], 2002. PDF.


  3. Schmitt, U., Louis, A.K., Wolters, C.H. and Vauhkonen, M.,"Efficient algorithms for the regularization of dynamic inverse problems: II. Applications.", Inverse Problems, 18 (3), pp.659-676, [link PDF], 2002. PDF.


  4. Wolters, C.H., Anwander, A., Koch, M., Reitzinger, S., Kuhn, M. and Svensen, M., Influence of head tissue conductivity anisotropy on human EEG and MEG using fast high resolution finite element modeling, based on a parallel algebraic multigrid solver ,In T.Plesser & V.Macho (eds.), Forschung und wissenschaftliches Rechnen, Contributions to the Heinz-Billing Award, Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen, ISSN: 0176-2516, 58, pp.111-157, PDF, (2001).


  5. Wolters, C.H., Beckmann, R.F., Rienäcker, A. and Buchner, H.,"Comparing regularized and non-regularized nonlinear dipole fit methods: A study in a simulated sulcus structure.", Brain Topography, 12 (1), pp.3-18, [link PDF], 1999. PDF.


  6. Waberski, T., Buchner, H., Lehnertz, K., Hufnagel, A., Fuchs, M., Rienäcker, A., Beckmann, R.,"Properties of Advanced Headmodelling and Source Reconstruction for the Localization of Epileptiform Activity.", Brain Topography, 10(4), pp.283-290, [link PDF], 1998. PDF.


  7. Pohlmeier, R., Buchner, H., Knoll, G., Rienäcker, A., Beckmann, R., and Pesch, J.,"The Influence of Skull-Conductivity Misspecification on Inverse Source Localization in Realistically-Shaped Finite Element Head Models.", Brain Topography, 9(3), pp.157-162, [link PDF], 1997. PDF.


  8. Buchner, H., Knoll, G., Fuchs, M., Rienäcker, A., Beckmann, R., Wagner, M., Silny, J. and Pesch, J.,"Inverse localization of electric dipole current sources in finite element models of the human head.", Electroenc.Clin.Neurophysiol., 102, pp.267-278, [link PDF], 1997. PDF.


Personal tools