Literature DB >> 32353472

A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities.

Shiva Asadzadeh1, Tohid Yousefi Rezaii2, Soosan Beheshti3, Azra Delpak4, Saeed Meshgini5.   

Abstract

In recent years, multiple noninvasive imaging modalities have been used to develop a better understanding of the human brain functionality, including positron emission tomography, single-photon emission computed tomography, and functional magnetic resonance imaging, all of which provide brain images with millimeter spatial resolutions. Despite good spatial resolution, time resolution of these methods are poor and values are about seconds. Scalp electroencephalography recordings can be used to perform the inverse problem in order to specify the location of the dominant sources of the brain activity. In this paper, EEG source localization method, diagnosis of brain abnormalities using common EEG source localization methods, investigating the effect of the head model on EEG source imaging results have been studied. In this review we present enough evidence that provides motivation for consideration in the future research using EEG source localization methods.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EEG signals; brain abnormalities; head model; source localization; the inverse problem; time resolution

Mesh:

Year:  2020        PMID: 32353472     DOI: 10.1016/j.jneumeth.2020.108740

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  11 in total

1.  A survey of brain network analysis by electroencephalographic signals.

Authors:  Cuihua Luo; Fali Li; Peiyang Li; Chanlin Yi; Chunbo Li; Qin Tao; Xiabing Zhang; Yajing Si; Dezhong Yao; Gang Yin; Pengyun Song; Huazhang Wang; Peng Xu
Journal:  Cogn Neurodyn       Date:  2021-06-14       Impact factor: 5.082

2.  Bridging M/EEG Source Imaging and Independent Component Analysis Frameworks Using Biologically Inspired Sparsity Priors.

Authors:  Alejandro Ojeda; Kenneth Kreutz-Delgado; Jyoti Mishra
Journal:  Neural Comput       Date:  2021-08-19       Impact factor: 2.026

3.  Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.

Authors:  Irina Belyaeva; Ben Gabrielson; Yu-Ping Wang; Tony W Wilson; Vince D Calhoun; Julia M Stephen; Tülay Adali
Journal:  Neuroinformatics       Date:  2022-08-24

4.  The Role of the Dorsal-Lateral Prefrontal Cortex in Reward Sensitivity During Approach-Avoidance Conflict.

Authors:  Camarin E Rolle; Mads L Pedersen; Noriah Johnson; Ken-Ichi Amemori; Maria Ironside; Ann M Graybiel; Diego A Pizzagalli; Amit Etkin
Journal:  Cereb Cortex       Date:  2022-03-04       Impact factor: 4.861

5.  Anatomical harmonics basis based brain source localization with application to epilepsy.

Authors:  Amita Giri; Lalan Kumar; Nilesh Kurwale; Tapan K Gandhi
Journal:  Sci Rep       Date:  2022-07-04       Impact factor: 4.996

6.  The Future of Neurotoxicology: A Neuroelectrophysiological Viewpoint.

Authors:  David W Herr
Journal:  Front Toxicol       Date:  2021-12-14

7.  Region-specific complexity of the intracranial EEG in the sleeping human brain.

Authors:  Elzbieta Olejarczyk; Jean Gotman; Birgit Frauscher
Journal:  Sci Rep       Date:  2022-01-10       Impact factor: 4.996

8.  Electroencephalographic Activity in Patients with Claustrophobia: A Pilot Study.

Authors:  Dunya Moradi; Reza Eyvazpour; Fariborz Rahimi; Ali Jahan; Seyed Hossein Rasta; Mahdad Esmaeili
Journal:  J Med Signals Sens       Date:  2021-10-20

9.  Detection of Brain Network Communities During Natural Speech Comprehension From Functionally Aligned EEG Sources.

Authors:  Di Zhou; Gaoyan Zhang; Jianwu Dang; Masashi Unoki; Xin Liu
Journal:  Front Comput Neurosci       Date:  2022-07-07       Impact factor: 3.387

10.  Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics.

Authors:  Rui Sun; Abbas Sohrabpour; Gregory A Worrell; Bin He
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-26       Impact factor: 12.779

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