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Journal of Applied Mathematics
Volume 2012, Article ID 251295, 11 pages
Research Article

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

1School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744, Republic of Korea
2College of Medicine, Korea University, Seoul 136705, Republic of Korea

Received 28 October 2011; Accepted 18 January 2012

Academic Editor: Venky Krishnan

Copyright © 2012 Jong-Ho Choi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.