Literature DB >> 31277878

EEG source localization.

Christoph M Michel1, Bin He2.   

Abstract

Since the discovery of electroencephalography (EEG), when it was hoped that EEG would offer "a window into the brain," researchers and clinicians have attempted to localize the neuronal activity in the brain that generates the scalp potentials measured noninvasively with EEG. Early explorations in the 1950s using electric field theory to infer the location and orientation of the current dipole in the brain from the scalp potential distribution triggered considerable efforts to quantitatively deduce these sources. Initially, dipole fitting, or dipole localization, was the method of choice and many studies used this approach in experimental and clinical studies with remarkable success. Later on, new methods were proposed that attempted to overcome the problem of having to fix the number of sources a priori; these methods are known as distributed source imaging techniques. The introduction and increasing availability of magnetic resonance imaging, allowing detailed realistic anatomy of the brain and head to be incorporated in source localization methods, has drastically increased the precision of such approaches. Today, source localization of EEG (and magnetoencephalography, or MEG) has reached a level of consistency and precision that allows these methods to be placed in the family of brain imaging techniques. The particular advantage that they have over other imaging methods is their high temporal resolution, which allows the origin of activity to be distinguished from its propagation and information flow in large-scale brain networks to be examined. This chapter gives an overview of these methods and illustrates them with several examples, thereby focusing on EEG source imaging in epilepsy and presurgical planning, as clinical applications with remarkable maturation.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Connectivity; EEG source imaging; Epilepsy; Forward problem; Inverse problem; Surgical planning

Year:  2019        PMID: 31277878     DOI: 10.1016/B978-0-444-64032-1.00006-0

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  7 in total

Review 1.  Motor networks in children with autism spectrum disorder: a systematic review on EEG studies.

Authors:  Jin Bo; Frantzy Acluche; Patricia C Lasutschinkow; Alyssa Augustiniak; Noelle Ditchfield; Renee Lajiness-O'Neill
Journal:  Exp Brain Res       Date:  2022-10-19       Impact factor: 2.064

2.  A systematic data-driven approach to analyze sensor-level EEG connectivity: Identifying robust phase-synchronized network components using surface Laplacian with spectral-spatial PCA.

Authors:  Ezra E Smith; Tarik S Bel-Bahar; Jürgen Kayser
Journal:  Psychophysiology       Date:  2022-04-27       Impact factor: 4.348

3.  Clinical and electroencephalogram characteristics and treatment outcomes in children with benign epilepsy and centrotemporal spikes.

Authors:  Rui-Hua Chen; Bing-Fei Li; Jian-Hua Wen; Chun-Lan Zhong; Ming-Ming Ji
Journal:  World J Clin Cases       Date:  2021-11-26       Impact factor: 1.337

4.  EEG Spatiotemporal Patterns Underlying Self-other Voice Discrimination.

Authors:  Giannina Rita Iannotti; Pavo Orepic; Denis Brunet; Thomas Koenig; Sixto Alcoba-Banqueri; Dorian F A Garin; Karl Schaller; Olaf Blanke; Christoph M Michel
Journal:  Cereb Cortex       Date:  2022-04-20       Impact factor: 4.861

5.  Reliability of Upper Limb Pin-Prick Stimulation With Electroencephalography: Evoked Potentials, Spectra and Source Localization.

Authors:  Lisa Tedesco Triccas; Kenneth P Camilleri; Camilleri Tracey; Fahimi Hnazaee Mansoureh; Wittevrongel Benjamin; Muscat Francesca; Boccuni Leonardo; Mantini Dante; Verheyden Geert
Journal:  Front Hum Neurosci       Date:  2022-07-21       Impact factor: 3.473

6.  Evaluating interhemispheric connectivity during midline object recognition using EEG.

Authors:  Anwesha Das; Alexandra Mandel; Hitoshi Shitara; Traian Popa; Silvina G Horovitz; Mark Hallett; Nivethida Thirugnanasambandam
Journal:  PLoS One       Date:  2022-08-26       Impact factor: 3.752

7.  Source localization and functional network analysis in emotion cognitive reappraisal with EEG-fMRI integration.

Authors:  Wenjie Li; Wei Zhang; Zhongyi Jiang; Tiantong Zhou; Shoukun Xu; Ling Zou
Journal:  Front Hum Neurosci       Date:  2022-08-12       Impact factor: 3.473

  7 in total

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