DocumentCode
842736
Title
Frequency domain simultaneous source and source coherence estimation with an application to MEG
Author
Grasman, Raoul P P P ; Huizenga, Hilde M. ; Waldorp, Lourens J. ; Bocker, K.B.E. ; Molenaar, Peter C M
Author_Institution
Dept. of Psychol., Univ. of Amsterdam, Netherlands
Volume
51
Issue
1
fYear
2004
Firstpage
45
Lastpage
55
Abstract
Interactions between cortical areas are crucial for cognitive functioning. Methods currently in use to assess such interactions are not well suited for this task because they lack timing precision, localization precision, or both. We present a method for simultaneous estimation of source location and orientation parameters and cross-spectral parameters to overcome these problems. Different estimators are evaluated for their performance. From a simulation study, we conclude that the estimators derived from the maximum-likelihood procedure have good statistical properties with moderate sample sizes, whereas those obtained from the generalized least squares procedure are biased and give poor-quality standard errors. The method is illustrated with visually evoked field data, with inconclusive results.
Keywords
brain models; cognition; electroencephalography; error statistics; frequency-domain analysis; least squares approximations; magnetoencephalography; maximum likelihood estimation; neurophysiology; visual evoked potentials; cognitive functioning; cortical areas; cross-spectral parameters; frequency domain simultaneous source; generalized least squares procedure; maximum-likelihood procedure; orientation parameters; source coherence estimation; source location; standard errors; visually evoked field data; Associate members; Brain modeling; Electroencephalography; Frequency domain analysis; Frequency estimation; Frequency synchronization; Positron emission tomography; Psychology; Sensor phenomena and characterization; Timing; Adult; Algorithms; Brain; Brain Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials, Visual; Humans; Magnetoencephalography; Models, Neurological; Reproducibility of Results; Sensitivity and Specificity; Statistics as Topic; Stochastic Processes;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2003.820385
Filename
1253993
Link To Document