PERFORM Publications

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Title		Authors	PubMed ID
1	3D bioheat transfer mapping reveals nanomagnetic particles effectiveness in radiofrequency hyperthermia breast cancer treatment comparing to experimental study	Kavousi M; Saadatmand E; Masoumbeigi M; Mahdavi R; Riyahi Alam N;	39557504 PHYSICS
2	Investigation of Macroscopic Mechanical Behavior of Magnetorheological Elastomers under Shear Deformation Using Microscale Representative Volume Element Approach	Abdollahi I; Sedaghati R;	38794567 ENCS
3	Design Optimization of a Hybrid-Driven Soft Surgical Robot with Biomimetic Constraints	Roshanfar M; Dargahi J; Hooshiar A;	38275456 ENCS
4	On the soft tissue ultrasound elastography using FEM based inversion approach	Eshaghinia SS; Taghvaeipour A; Aghdam MM; Rivaz H;	38240143 ENCS
5	The influence of inter-bubble spacing on the resonance response of ultrasound contrast agent microbubbles	Yusefi H; Helfield B;	36223708 BIOLOGY
6	Optical Fiber Array Sensor for Force Estimation and Localization in TAVI Procedure: Design, Modeling, Analysis and Validation	Bandari N; Dargahi J; Packirisamy M;	34450813 ENCS
7	Finite Element Modelling of a Reflection Differential Split-D Eddy Current Probe Scanning Surface Notches.	Mohseni E, França DR, Viens M, Xie WF, Xu B	32214578 ENCS
8	Adaptive Neuro-fuzzy Inference System Trained for Sizing Semi-elliptical Notches Scanned by Eddy Currents.	Mohseni E, Viens M, Xie WF	31929668 ENCS
9	Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.	Vorwerk J, Aydin Ü, Wolters CH, Butson CR	31231178 PERFORM
10	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.	Aydin Ü, Rampp S, Wollbrink A, Kugel H, Cho J-, Knösche TR, Grova C, Wellmer J, Wolters CH	28510905 PERFORM

Title:	Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.
Authors:	Vorwerk J, Aydin Ü, Wolters CH, Butson CR
Link:	https://www.ncbi.nlm.nih.gov/pubmed/31231178?dopt=Abstract
DOI:	10.3389/fnins.2019.00531
Publication:	Frontiers in neuroscience
Keywords:	EEG dipole reconstruction; EEG source analysis; conductivity estimation; conductivity uncertainty; finite element method; generalized polynomial chaos; head modeling; sensitivity analysis;
PMID:	31231178	Category:	Front Neurosci	Date Added:	2019-06-25
Dept Affiliation:	PERFORM 1 Scientific Computing & Imaging (SCI) Institute, University of Utah, Salt Lake City, UT, United States. 2 Institute for Biomagnetism and Biosignalanalysis, University of Münster, Münster, Germany. 3 Institute of Electrical and Biomedical Engineering, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria. 4 Multimodal Functional Imaging Lab, Department of Physics and PERFORM Centre, Concordia University, Montreal, QC, Canada. 5 Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, University of Münster, Münster, Germany. 6 Departments of Biomedical Engineering, Neurology, and Psychiatry, University of Utah, Salt Lake City, UT, United States. 7 Department of Neurosurgery, Clinical Neurosciences Center, University of Utah, Salt Lake City, UT, United States.

Description:

Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.

Front Neurosci. 2019;13:531

Authors: Vorwerk J, Aydin Ü, Wolters CH, Butson CR

Abstract

Reliable EEG source analysis depends on sufficiently detailed and accurate head models. In this study, we investigate how uncertainties inherent to the experimentally determined conductivity values of the different conductive compartments influence the results of EEG source analysis. In a single source scenario, the superficial and focal somatosensory P20/N20 component, we analyze the influence of varying conductivities on dipole reconstructions using a generalized polynomial chaos (gPC) approach. We find that in particular the conductivity uncertainties for skin and skull have a significant influence on the EEG inverse solution, leading to variations in source localization by several centimeters. The conductivity uncertainties for gray and white matter were found to have little influence on the source localization, but a strong influence on the strength and orientation of the reconstructed source, respectively. As the CSF conductivity is most accurately determined of all conductivities in a realistic head model, CSF conductivity uncertainties had a negligible influence on the source reconstruction. This small uncertainty is a further benefit of distinguishing the CSF in realistic volume conductor models.

PMID: 31231178 [PubMed]

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