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

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

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.

Suggested Citation

  • Jong-Ho Choi & Min-Hyuk Kim & Luan Feng & Chany Lee & Hyun-Kyo Jung, 2012. "A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources," Journal of Applied Mathematics, Hindawi, vol. 2012, pages 1-11, April.
    • Handle: RePEc:hin:jnljam:251295
    DOI: 10.1155/2012/251295
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    Cited by:

    1. Pinto Da Costa, Joaquim & Roque, Luís A.C. & Soares, Carlos, 2015. "The weighted rank correlation coefficient rW2 in the case of ties," Statistics & Probability Letters, Elsevier, vol. 99(C), pages 20-26.

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