Journal of Applied Mathematics

  • J. Appl. Math.
  • Volume 2012, Special Issue (2012), Article ID 251295, 11 pages.

A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources

Jong-Ho Choi, Min-Hyuk Kim, Luan Feng, Chany Lee, and Hyun-Kyo Jung

Full-text: Open access

Abstract

Various inverse algorithms have been proposed to estimate brain electrical activities with magnetoencephalography (MEG) and electroencephalography (EEG). To validate and compare the performances of inverse algorithms, many researchers have used artificially constructed EEG and MEG datasets. When the artificial sources are reconstructed on the cortical surface, accuracy of the source estimates has been difficult to evaluate. In this paper, we suggest a new measure to evaluate the reconstructed EEG/MEG cortical sources more accurately. To validate the usefulness of the proposed method, comparison between conventional and proposed evaluation metrics was conducted using artificial cortical sources simulated under different noise conditions. The simulation results demonstrated that only the proposed method could reflect the source space geometry regardless of the number of source peaks.

Article information

Source
J. Appl. Math., Volume 2012, Special Issue (2012), Article ID 251295, 11 pages.

Dates
First available in Project Euclid: 17 October 2012

Permanent link to this document
https://projecteuclid.org/euclid.jam/1350492735

Digital Object Identifier
doi:10.1155/2012/251295

Zentralblatt MATH identifier
1243.62098

Citation

Choi, Jong-Ho; Kim, Min-Hyuk; Feng, Luan; Lee, Chany; Jung, Hyun-Kyo. A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources. J. Appl. Math. 2012, Special Issue (2012), Article ID 251295, 11 pages. doi:10.1155/2012/251295. https://projecteuclid.org/euclid.jam/1350492735


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