Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target
暂无分享,去创建一个
Ursula van Rienen | Christian Schmidt | Carsten H Wolters | Martin Burger | M. Burger | C. Wolters | U. Rienen | S. Wagner | Sven Wagner | C. Schmidt
[1] Jens Haueisen,et al. Use of a priori information in estimating tissue resistivities--application to human data in vivo. , 2004, Physiological measurement.
[2] Dana H. Brooks,et al. Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: A comparative evaluation , 2014, NeuroImage.
[3] L. Jäncke,et al. Excitability changes induced in the human auditory cortex by transcranial direct current stimulation: direct electrophysiological evidence , 2011, Experimental Brain Research.
[4] A. Dale,et al. Conductivity tensor mapping of the human brain using diffusion tensor MRI , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[5] S. Schiff,et al. Sensitivity of Neurons to Weak Electric Fields , 2003, The Journal of Neuroscience.
[6] Bruno Sudret,et al. A stochastic finite element procedure for moment and reliability analysis , 2006 .
[7] U. van Rienen,et al. Modelling the probabilistic neural activation in deep brain stimulation: Influence of uncertainty in the parameters of the electrode-tissue-interface , 2013, 2013 International Symposium on Electromagnetic Theory.
[8] D. Tuch. Diffusion MRI of complex tissue structure , 2002 .
[9] L. Parra,et al. Optimized multi-electrode stimulation increases focality and intensity at target , 2011, Journal of neural engineering.
[10] Dana H. Brooks,et al. A pipeline for the simulation of transcranial direct current stimulation for realistic human head models using SCIRun/BioMesh3D , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[11] Andreas Galka,et al. Combining EEG and MEG for the Reconstruction of Epileptic Activity Using a Calibrated Realistic Volume Conductor Model , 2014, PloS one.
[12] W. Sutherling,et al. Conductivities of Three-Layer Human Skull , 2004, Brain Topography.
[13] P. V. van Rijen,et al. Measurement of the Conductivity of Skull, Temporarily Removed During Epilepsy Surgery , 2004, Brain Topography.
[14] W. Sutherling,et al. Conductivities of Three-Layer Live Human Skull , 2004, Brain Topography.
[15] Guillaume Crevecoeur,et al. A sensor sensitivity and correlation analysis through polynomial chaos in the EEG problem , 2014 .
[16] Fabio Nobile,et al. A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data , 2008, SIAM J. Numer. Anal..
[17] M. Nitsche,et al. Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation , 2000, The Journal of physiology.
[18] B. Gordon,et al. Target Optimization in Transcranial Direct Current Stimulation , 2012, Front. Psychiatry.
[19] Robert M. Kirby,et al. Cardiac Position Sensitivity Study in the Electrocardiographic Forward Problem Using Stochastic Collocation and Boundary Element Methods , 2011, Annals of Biomedical Engineering.
[20] F. H. Lopes da Silva,et al. In vivo measurement of the brain and skull resistivities using an EIT-based method and the combined analysis of SEF/SEP data , 2003, IEEE Transactions on Biomedical Engineering.
[21] David R. Wozny,et al. The electrical conductivity of human cerebrospinal fluid at body temperature , 1997, IEEE Transactions on Biomedical Engineering.
[22] Markus Zahn,et al. Transcranial direct current stimulation: A computer-based human model study , 2007, NeuroImage.
[23] D. Xiu. Numerical Methods for Stochastic Computations: A Spectral Method Approach , 2010 .
[24] Lucas C. Parra,et al. Subject position affects EEG magnitudes , 2013, NeuroImage.
[25] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[26] Ursula van Rienen,et al. Influence of Uncertainties in the Material Properties of Brain Tissue on the Probabilistic Volume of Tissue Activated , 2013, IEEE Transactions on Biomedical Engineering.
[27] Ursula van Rienen,et al. Global sensitivity analysis of the probabilistic volume of tissue activated in a volume conductor model for deep brain stimulation , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).
[28] D. Stegeman,et al. Investigation of tDCS volume conduction effects in a highly realistic head model , 2014, Journal of neural engineering.
[29] Sergio P. Rigonatti,et al. Transient tinnitus suppression induced by repetitive transcranial magnetic stimulation and transcranial direct current stimulation , 2006, European journal of neurology.
[30] Moritz Dannhauer,et al. Modeling of the human skull in EEG source analysis , 2011, Human brain mapping.
[31] E. Somersalo,et al. Existence and uniqueness for electrode models for electric current computed tomography , 1992 .
[32] Jeffrey L. Elman,et al. A novel integrated MEG and EEG analysis method for dipolar sources , 2007, NeuroImage.
[33] C H Wolters,et al. Corrigendum: Complete electrode model in EEG: relationship and differences to the point electrode model , 2012, Physics in medicine and biology.
[34] L. Bindman,et al. Long-lasting Changes in the Level of the Electrical Activity of the Cerebral Cortex produced by Polarizing Currents , 1962, Nature.
[35] Dongbin Xiu,et al. Stochastic Markovian modeling of electrophysiology of ion channels: reconstruction of standard deviations in macroscopic currents. , 2007, Journal of theoretical biology.
[36] O. Creutzfeldt,et al. Influence of transcortical d-c currents on cortical neuronal activity. , 1962, Experimental neurology.
[37] C. Gabriel,et al. Electrical conductivity of tissue at frequencies below 1 MHz , 2009, Physics in medicine and biology.
[38] Michael S. Eldred,et al. Sparse Pseudospectral Approximation Method , 2011, 1109.2936.
[39] A. Tarakanova,et al. Molecular modeling of protein materials: case study of elastin , 2013 .
[40] I. Sobol. Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates , 2001 .
[41] Robert Michael Kirby,et al. Application of Stochastic Finite Element Methods to Study the Sensitivity of ECG Forward Modeling to Organ Conductivity , 2008, IEEE Transactions on Biomedical Engineering.