DocumentCode :
1124210
Title :
Task-based comparison of inverse methods in magnetoencephalography
Author :
Kucukaltun-Yildirim, E. ; Pantazis, D. ; Leahy, R.M.
Author_Institution :
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA
Volume :
53
Issue :
9
fYear :
2006
Firstpage :
1783
Lastpage :
1793
Abstract :
Magnetoencephalography (MEG) provides unique insights into the spatio-temporal dynamics of neural activation in the human brain. Unfortunately, the accuracy with which neural sources can be localized is limited by the highly illposed nature of the inverse problem. A large number of inverse methods have been proposed that deal with this illposedness using a range of different modeling and regularization procedures. Here we describe an objective task-based framework for comparing different inverse methods. Using the free-response receiver operating characteristic (FROC) we compare the performance of matched filters, cortically constrained dipole scanning, and minimum norm imaging methods for the task of detecting focal cortical activation. Our results indicate that the scanning methods outperform matched filters and minimum norm imaging for the case of one and two 2 cm2 patches of cortical activity when the dynamics of the two patches are both strongly and weakly correlated and irrespective of the spacing of the two activated regions
Keywords :
inverse problems; magnetoencephalography; matched filters; medical signal detection; medical signal processing; neurophysiology; sensitivity analysis; MEG; cortically constrained dipole scanning; focal cortical activation detection; free-response receiver operating characteristic; human brain; inverse methods; inverse problem; magnetoencephalography; matched filters; minimum norm imaging; neural activation; objective task-based framework; regularization; spatio-temporal dynamics; Humans; Image processing; Inverse problems; Magnetic resonance imaging; Magnetoencephalography; Matched filters; Sensor arrays; Signal processing; Surface fitting; Surface reconstruction; Comparison of MEG inverse methods; FROC; LCMV beamformer; MUSIC; ROC; Tikhonov regularization; matched filter; Algorithms; Brain Mapping; Cerebral Cortex; Computer Simulation; Diagnosis, Computer-Assisted; Evoked Potentials; Humans; Magnetoencephalography; Models, Neurological; Reproducibility of Results; Sensitivity and Specificity; Task Performance and Analysis;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2006.873747
Filename :
1673620
Link To Document :
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