Recent trends and advances in solving the inverse problem for EEG source localization

被引:33
作者
Awan, Fahim Gohar [1 ]
Saleem, Omer [2 ]
Kiran, Asima [1 ]
机构
[1] Univ Engn & Technol, Dept Elect Engn, Lahore, Pakistan
[2] Natl Univ Comp & Emerging Sci, Dept Elect Engn, 852,B Block, Lahore, Pakistan
关键词
Electroencephalography; inverse problem; source localization; minimum norm estimates; low-resolution electrical tomography; ELECTROMAGNETIC TOMOGRAPHY LORETA; L-CURVE; BRAIN; REGULARIZATION; MODEL; RECONSTRUCTION;
D O I
10.1080/17415977.2018.1490279
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper addresses the recent advancements and trends in the field of electroencephalography (EEG) using inverse problem solutions. Using the EEG data of the brain to gather the information regarding the neuronal current source distribution has been a persisting challenge. Since the EEG inverse problem is ill-posed in nature; therefore, it does not offer a unique result. A trivial and precise solution yields a detailed insight regarding the electrical activity as well as the damaged tissue in the brain. Ordinarily, this problem is solved using the regularization techniques, such as minimum norm estimates, mixed-norm estimate, low-resolution electrical tomography, artificial neural networks, and their modified variants. In this paper, the latest algorithmic developments in solving the EEG inverse problem are reviewed. The optimization rendered by these techniques in accurately solving the neural source localization problem is also discussed. The comparative performance analysis of the recent techniques has been presented. Furthermore, a number of future enhancements have also been proposed to further improve the performance of these state-of-the-art techniques.
引用
收藏
页码:1521 / 1536
页数:16
相关论文
共 57 条
[1]   Solving ill-posed inverse problems using iterative deep neural networks [J].
Adler, Jonas ;
Oktem, Ozan .
INVERSE PROBLEMS, 2017, 33 (12)
[2]  
Afasari A, 2017, P INT S ANT PROP USN, P25
[3]  
Afef C, 2016, P INT S SIGN IM VID
[4]   Image restoration using L1 norm penalty function [J].
Agarwal, Vivek ;
Gribok, Andrei V. ;
Abidi, Mongi A. .
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2007, 15 (08) :785-809
[5]   Magnetoencephalography source localization using improved simplex method [J].
An, Kwang-Ok ;
Im, Chang-Hwan ;
Jung, Hyun-Kyo .
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2008, 16 (04) :499-510
[6]  
[Anonymous], 2002, FRONTIERS APPL MATH
[7]  
[Anonymous], 1978, THESIS MIT
[8]  
[Anonymous], 1999, Int J Bioelectromagnetism
[9]   Connectivity-based parcellation of Broca's area [J].
Anwander, A. ;
Tittgemeyer, M. ;
von Cramon, D. Y. ;
Friederici, A. D. ;
Knoesche, T. R. .
CEREBRAL CORTEX, 2007, 17 (04) :816-825
[10]  
Becker EB, 1982, INT J NUMER METHODS, V18, P954