Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity-Reference-Cited by-同舟云学术

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Improved EEG source localization with Bayesian uncertainty modelling of unknown skull conductivity

Published:2019-03 Issue: Volume:188 Page:252-260
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Rimpiläinen Ville,Koulouri Alexandra,Lucka Felix,Kaipio Jari P.,Wolters Carsten H.

Funder

Finnish Cultural Foundation

Academy of Finland post-doctoral program

IKY Fellowships of excellence for postgraduate studies in Greece - Siemens program

Engineering and Physical Sciences Research Council, UK

European Union’s Horizon 2020 research and innovation programme

Netherlands Organisation for Scientific Research

EU project ChildBrain

Deutsche Forschungsgemeinschaft

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference64 articles.

1. Conductivities of three-layer live human skull;Akhtari;Brain Topogr.,2002

2. Approximation errors and model reduction with an application in optical diffusion tomography;Arridge;Inverse Probl.,2006

3. Effect of conductivity uncertainties and modeling errors on EEG source localization using a 2-D model;Awada;IEEE Trans. Biomed. Eng.,1998

4. Combining EEG and MEG for the reconstruction of epileptic activity using a calibrated realistic volume conductor model;Aydin;PLoS One,2014

5. 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;Brain Topogr.,2017

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1. Multimodal electrical impedance tomography and electroencephalography imaging: Does higher skull conductivity resolution in EIT imaging improve accuracy of EEG source localization?;2024-08-07

2. The SESAMEEG package: a probabilistic tool for source localization and uncertainty quantification in M/EEG;Frontiers in Human Neuroscience;2024-03-13

3. EEG Source Estimation Using Deep Prior Without a Subject’s Individual Lead Field;2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2023-06-04

4. A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model Uncertainties;IEEE Transactions on Biomedical Engineering;2023-03

5. The association of magnetoencephalography high‐frequency oscillations with epilepsy types and a ripple‐based method with source‐level connectivity for mapping epilepsy sources;CNS Neuroscience & Therapeutics;2023-02-23

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