PERFORM Publications

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Title		Authors	PubMed ID
1	Cultural Adaptation and Validation of the Athlete Fear-Avoidance Questionnaire in Arabic: Preliminary Analysis of Fear-Avoidance in ACL-Reconstructed Recreational Players	Alanazi R; Kashoo FZ; Alrashdi N; Alanazi S; Shaik AR; Sirajudeen MS; Alenazi A; Nambi G; Dover G; Alanazi AD;	40190690 HKAP
2	Brain PET Imaging in Small Animals: Tracer Formulation, Data Acquisition, Image Reconstruction, and Data Analysis	Bdair H; Kang MS; Ottoy J; Aliaga A; Kunach P; Singleton TA; Blinder S; Soucy JP; Leyton M; Rosa-Neto P; Kostikov A;	38006502 PERFORM
3	Decoding of Envelope vs. Fundamental Frequency During Complex Auditory Stream Segregation	Greenlaw KM; Puschmann S; Coffey EBJ;	37215227 PSYCHOLOGY
4	Source imaging of deep-brain activity using the regional spatiotemporal Kalman filter	Hamid L; Habboush N; Stern P; Japaridze N; Aydin Ü; Wolters CH; Claussen JC; Heute U; Stephani U; Galka A; Siniatchkin M;	33250282 PERFORM
5	Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters.	Amini S, Kersten-Oertel M	32038868 PERFORM
6	Influence of Head Tissue Conductivity Uncertainties on EEG Dipole Reconstruction.	Vorwerk J, Aydin Ü, Wolters CH, Butson CR	31231178 PERFORM
7	Topology and inference for Yule trees with multiple states.	Popovic L, Rivas M	27009067 MATHSTATS
8	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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