Keyword search (4,163 papers available)

"Aydin Ü" Authored Publications:

Title Authors PubMed ID
1 NREM sleep brain networks modulate cognitive recovery from sleep deprivation Lee K; Wang Y; Cross NE; Jegou A; Razavipour F; Pomares FB; Perrault AA; Nguyen A; Aydin Ü; Uji M; Abdallah C; Anticevic A; Frauscher B; Benali H; Dang-Vu TT; Grova C; 39005401
PERFORM
2 An altered balance of integrated and segregated brain activity is a marker of cognitive deficits following sleep deprivation Cross NE; Pomares FB; Nguyen A; Perrault AA; Jegou A; Uji M; Lee K; Razavipour F; Ali OBK; Aydin U; Benali H; Grova C; Dang-Vu TT; 34735431
PERFORM
3 Evaluation of a personalized functional near infra-red optical tomography workflow using maximum entropy on the mean Cai Z; Uji M; Aydin Ü; Pellegrino G; Spilkin A; Delaire É; Abdallah C; Lina JM; Grova C; 34342073
PERFORM
4 Data-driven beamforming technique to attenuate ballistocardiogram artefacts in electroencephalography-functional magnetic resonance imaging without detecting cardiac pulses in electrocardiography recordings Uji M; Cross N; Pomares FB; Perrault AA; Jegou A; Nguyen A; Aydin U; Lina JM; Dang-Vu TT; Grova C; 34101939
PERFORM
5 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
6 Cortical gradients of functional connectivity are robust to state-dependent changes following sleep deprivation. Cross N; Paquola C; Pomares FB; Perrault AA; Jegou A; Nguyen A; Aydin U; Bernhardt BC; Grova C; Dang-Vu TT; 33186718
PERFORM
7 Accuracy and spatial properties of distributed magnetic source imaging techniques in the investigation of focal epilepsy patients. Pellegrino G, Hedrich T, Porras-Bettancourt M, Lina JM, Aydin Ü, Hall J, Grova C, Kobayashi E 32386115
PERFORM
8 Magnetoencephalography resting state connectivity patterns as indicatives of surgical outcome in epilepsy patients. Aydin Ü, Pellegrino G, Bin Ka'b Ali O, Abdallah C, Dubeau F, Lina JM, Kobayashi E, Grova C 32191632
PERFORM
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
11 Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy. Chowdhury RA, Pellegrino G, Aydin Ü, Lina JM, Dubeau F, Kobayashi E, Grova C 29164737
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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