Task-based comparison of inverse methods in magnetoencephalography

IEEE Transactions on Biomedical Engineering

Volumn 53, Issue 9, 2006, Pages 1783-1793

  Küçükaltun Yildirim, Esen ^a   Pantazis, Dimitrios ^a   Leahy, Richard M ^a,b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b IEEE   (United States)

Author keywords

Comparison of MEG inverse methods; FROC; LCMV beamformer; Matched filter; MUSIC; ROC; Tikhonov regularization

Indexed keywords

COMPARISON OF MEG INVERSE METHODS; FREE RESPONSE RECEIVER OPERATING CHARACTERISTIC (FROC); LCMV BEAMFORMER; MATCHED FILTERS; MUSIC; ROC; TIKHONOV REGULARIZATION;

BRAIN; COMPUTER SIMULATION; INVERSE PROBLEMS; MEDICAL IMAGING; NEUROLOGY; SCANNING;

MAGNETOENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; BRAIN CORTEX; BRAIN MAPPING; COMPARATIVE STUDY; DIAGNOSTIC ACCURACY; DIPOLE; MAGNETOENCEPHALOGRAPHY; NEUROIMAGING; RECEIVER OPERATING CHARACTERISTIC; ROC CURVE; VARIANCE;

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;

EID: 33747829533     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2006.873747     Document Type: Article

References (37)

1. M. Hämäläinen and R. Ilmoniemi, Interpreting Measured Magnetic Fields of the Brain: Estimates of Current Distributions Helsinki University of Technology, Espoo, Finland, Tech. Rep. TKK-F-A559, 1984.
2. A. Tikhonov and V. Arsenin, Solutions of Ill-Posed Problems. Washington, DC: Winston, 1977.
3. M. Scherg, "Two bilateral sources of the late aep as identified by a spatio-temporal dipole model," Electroencephalogr. Clin. Neurophysiol., vol. 62, pp. 32-44, 1985.
4. S. Baillet, J. Mosher, and R. Leahy, "Electromagnetic brain mapping," IEEE Signal Process. Mag., vol. 18, no. 6, pp. 14-30, Nov. 2001.
5. J. Mosher, R. Leahy, and P. Lewis, "Multiple dipole modeling and localization from spatio-temporal MEG data," IEEE Trans. Biomed. Eng., vol. 39, no. 6, pp. 541-557, Jun. 1992.
6. B. VanVeen, W. van Drongelen, M. Yuchtman, and A. Suzuki, "Localization of brain electrical activity via linearly constrained minimum variance spatial filtering," IEEE Trans. Biomed. Eng., vol. 44, no. 9, pp. 867-880, Sep. 1997.
7. A. Dale, A. K. Liu, B. Fischl, R. Buckner, J. Belliveau, J. Lewine, and E. Halgren, "Dynamic statistical parametric mapping: combining fMRI and MEG for high-resolution imaging of cortical activity," Neuron, vol. 26, pp. 55-67, 2000.
8. R. Pascual-Marqui, "Standardized low resolution brain electromagnetic tomography (sloreta): Technical details," Meth. Findings Exp. Clin. Pharmacol., vol. 24D, pp. 5-12, 2002.
9. S. Robinson and J. Vrba, "Functional neuroimaging by synthetic aperture magnetometry (SAM)," presented at the Biomag 1998, Sendai, Japan.
10. C. Metz, D. Goodenough, and K. Rossmann, "Evaluation of receiver operating characteristic curve data in terms of information theory, with applications in radiography," Radiology, vol. 109, no. 2, pp. 297-303, 1973.
11. J. Swets and R. Pickett, Evaluation of Diagnostic Systems: Methods from Signal Detection Theory. New York: Academic, 1982.
12. S. Starr, C. Metz, L. Lusted, and D. Goodenough, "Visual detection and localization of radiographic images," Radiology, vol. 116, pp. 533-538, 1975.
13. P. Bunch, J. Hamilton, G. Sanderson, and A. Simmons, "A free response approach to the measurement and characterization of radiographic-observer performance," J. Appl. Photogr. Eng., vol. 4, pp. 166-172, 1978.
14. Y. Benjamini and Y. Hochberg, "Controlling the false discovery rate: a practical and powerful approach to multiple testing," J. Roy. Statist. Soc., Ser. B, Methodological, vol. 57, pp. 289-300, 1995.
15. T. Nichols and S. Hayasaka, "Controlling the familywise error rate in functional neuroimaging: a comparative review," Statist. Meth. Med. Res., vol. 12, no. 5, pp. 419-446, 2003.
16. K. Zou, W. Hall, and D. E. Shapiro, "Smooth nonparametric receiver operating characteristic curves for continuous diagnostic tests," Statist. Med., vol. 16, pp. 2143-2156, 1997.
17. D. Dorfman and E. Alf, "Maximum likelihood estimation of parameters of signal detection theory and determination of confidence intervals-rating method data," J. Math. Psychol., vol. 6, pp. 487-496, 1969.
18. F. Lin, A. McIntosh, J. Agnew, G. Eden, T. Zeffiro, and J. Belliveau, "Multivariate analysis of neuronal interactions in the generalized partial least squares framework: Simulations and empirical studies," NeuroImage, vol. 20, no. 2, pp. 625-642, 2003.
19. R. Nandy and D. Cordes, "Novel roc-type method for testing the efficiency of multivariate statistical methods in fmri," Magn. Reson. Med., vol. 49, pp. 1152-1162, 2003.
20. P. Skudlarski, R. Constable, and J. Gore, "Roc analysis of statistical methods used in functional MRI: Individual subjects," NeuroImage, vol. 9, no. 3, pp. 311-329, March 1999.
21. R. Constable, P. Skudlarski, and I. Gore, "An roc approach for evaluating functional brain mr imaging and postprocessing protocols," Magn. Reson. Med., vol. 34, pp. 57-64, 1995.
22. L. Hansen, F. A. Nielsen, S. Strother, and N. Lange, "Consensus inference in neuroimaging," NeuroImage, vol. 13, pp. 1212-1218, 2001.
23. M. Liou, H. Su, J. Lee, P. Cheng, C. Huang, and C. Tsai, "Bridging functional mr images and scientific inference: Reproducibility maps," J. Cogn. Neurosci., vol. 15, pp. 935-945, 2003.
24. T. Le and X. Hu, "Methods for assessing accuracy and reliability in functional MRI," NMR Biomed., vol. 10, no. 4-5, pp. 160-164, 1997, real data.
25. F. Darvas, D. Pantazis, E. Kucukaltun-Yildirim, and R. Leahy, "Mapping human brain function with meg and eeg: Methods and validation," NeuroImage, vol. 23, pp. S289-S299, 2004.
26. J. Mosher, R. Leahy, and P. Lewis, "EEG and MEG: forward solutions for inverse methods," IEEE Trans. Biomed. Eng., vol. 46, no. 3, pp. 245-259, Mar. 1999.
27. G. Golub and U. von Matt, Tikhonov regularization for large scale problems Stanford University, , Tech. Rep. SCCM-97-03, 1997.
28. R. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Trans. Antennas Propagat., vol. AP-34, no. 3, pp. 276-280, Mar. 1986.
29. J. Mosher and R. Leahy, "Recursive MUSIC: a framework for EEG and MEG source localization," IEEE Trans. Biomed. Eng., vol. 45, no. 11, pp. 1342-1355, Nov. 1998.
30. G. Golub and C. V. Loan, Matrix Computations, 3rd ed. Baltimore, MD: Johns Hopkins Univ. Press, 1996.
31. L. Scharf, Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Reading, MA: Addison-Wesley, 1991.
32. D. Shattuck and R. Leahy, "Brainsuite: an automated cortical surface identification tool," Med. Image Anal., vol. 6, no. 2, pp. 129-142, Jun. 2002.
33. S. Baillet, J. Mosher, and R. Leahy, Brainstorm: a non-commercial MATLAB Toolbox for MEG-EEG data visualization and processing [Online]. Available: http://neuroimage.usc.edu/brainstorm 2004
34. M. Huang, J. Mosher, and R. Leahy, "A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG," Phys. Med. Biol., vol. 44, pp. 423-440, 1999.
35. P. Tass, M. Rosenblum, J. Weule, J. Kurths, A. Pikovsky, J. Volkmann, A. Schnitzler, and H. Freund, "Detection of n:m phase locking from noisy data: Application to magnetoencephalography," Phys. Rev. Lett., vol. 81, pp. 3291-3294, 1998.
36. P. Hansen, "Analysis of discrete ill-posed problems by means of the 1-curve," SIAM Rev., vol. 34, no. 4, pp. 561-580, 1992.
37. D. M. Hawkins, S. C. Basak, and D. Mills, "Assessing model fit by cross-validation.," J. Chem. Inf. Comput. Sci., vol. 43, no. 2, pp. 579-586, 2003.