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 :
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