NDLI: Region-Based Current-Source Reconstruction for the Inverse EEG Problem

Content Provider	IEEE Xplore Digital Library
Author	Peña, J. Marroquin, J.L.
Copyright Year	1964
Abstract	This paper presents a new method for the reconstruction of current sources for the electroencephalography (EEG) inverse problem, which produces reconstructed sources, which are confined to a few anatomical regions. The method is based on a partition of the gray matter into a set of regions, and in the construction of a simple linear model for the potential produced by feasible source configurations inside each one of these regions. The proposed method computes the solution in two stages: in the first one, a subset of active regions is found so that the combined potentials produced by sources inside them approximate the measured potential data. In the second stage, a detailed reconstruction of the current sources inside each active region is performed. Experimental results with synthetic data are presented, which show that the proposed scheme is fast, computationally efficient and robust to noise, producing results that are competitive with other published methods, especially when the current sources are effectively distributed in few anatomical regions. The proposed method is also validated with real data from an experiment with visual evoked potentials.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	11
File Size	773079
Starting Page	1044
Ending Page	1054
File Format	PDF
ISSN	00189294
Volume Number	58
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Electrodes Electroencephalography Electric potential Noise Brain modeling inverse problem Anatomical regions distributed dipole model electroencephalography (EEG) source imaging
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Reduced Conductivity Dependence Method for Increase of Dipole Localization Accuracy in the EEG Inverse Problem

Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models

Statistical maps for EEG dipolar source localization

Reconstruction of Continuous and Focalized Brain Functional Source Images From Electroencephalography

Enhancing accuracy in magneto-and electroencephalography focal source localization

Minimum Variance Brain Source Localization for Short Data Sequences

A New Neuronal Electrical Source Model Considering Electrophysiology to Simulate Realistic Electroencephalography (EEG) Forward Signals

Approximating dipoles from human EEG activity: the effect of dipole source configuration on dipolarity using single dipole models

Single-Trial EEG Source Reconstruction for Brain–Computer Interface

Region-Based Current-Source Reconstruction for the Inverse EEG Problem

Similar Documents

Reduced Conductivity Dependence Method for Increase of Dipole Localization Accuracy in the EEG Inverse Problem

Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models

Statistical maps for EEG dipolar source localization

Reconstruction of Continuous and Focalized Brain Functional Source Images From Electroencephalography

Enhancing accuracy in magneto-and electroencephalography focal source localization

Minimum Variance Brain Source Localization for Short Data Sequences

A New Neuronal Electrical Source Model Considering Electrophysiology to Simulate Realistic Electroencephalography (EEG) Forward Signals

Approximating dipoles from human EEG activity: the effect of dipole source configuration on dipolarity using single dipole models

Single-Trial EEG Source Reconstruction for Brain–Computer Interface

Region-Based Current-Source Reconstruction for the Inverse EEG Problem