Using ICA and realistic BOLD models to obtain joint EEG/fMRI solutions to the problem of source localization

NeuroImage

Volumn 44, Issue 2, 2009, Pages 411-420

  Brookings, Ted ^a   Ortigue, Stephanie ^b   Grafton, Scott ^b   Carlson, Jean ^b  

^a BRANDEIS UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OXYGEN;

ARTICLE; ELECTROENCEPHALOGRAM; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INDEPENDENT COMPONENT ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PRIORITY JOURNAL;

ALGORITHMS; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 56449123214     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2008.08.043     Document Type: Article

References (38)

1. Ahlfors S.P., and Simpson G.V. Geometrical interpretation of fmri-guided meg/eeg inverse estimates. NeuroImage 22 1 (2004) 323-332 (May)
2. Buxton R., Wong E., and Frank L. Dynamics of blood flow and oxygenation changes during brain activation: the balloon model. Magn. Reson. Med. 39 (1998) 855-864
3. Calhoun V., Adali T., Pearlson G., and Kiehl K. Neuronal chronometry of target detection: Fusion of hemodynamic and event-related potential data. NeuroImage 30 (2006) 544-553 (Apr.)
4. Dale A., and Sereno M. Improved localization of cortical activity by combining eeg and meg with mri cortical surface reconstruction. J. Cogn. Neurosci. 5 (1993) 162-176
5. Dale A.M., and Halgren E. Spatiotemporal mapping of brain activity by integration of multiple imaging modalities. Curr. Opin. Neurobiol. 11 2 (2001) 202-208 (Apr.)
6. de Peralta-Menendez R.G., and Gonzalez-Andino S.L. A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem. IEEE Trans. Biomed. Eng. 45 (1998) 440-448
7. de Peralta-Menendez R.G., and Gonzalez-Andino S.L. Discussing the capabilities of laplacian minimization. Brain Topogr. 13 (2000) 97-104. http://dx.doi.org/10.1023/A http://dx.doi.org/10.1023/A:1026603017734 (Dec.)
8. de Peralta-Menendez R.G., and Gonzalez-Andino S.L. Comparison of algorithms for the localization of focal sources: Evaluation with simulated data and analysis of experimental data. Int. J. Bioelectromagn. 4 1 (2002). http://www.rgi.tut.fi/ijbem/volume4/number1/menendez/index.htm http://www.rgi.tut.fi/ijbem/volume4/number1/menendez/index.htm
9. de Peralta-Menendez R.G., Gonzalez-Andino S., Morand S., Michel C., and Landis T. Imaging the electrical activity of the brain: Electra. Hum. Brain Mapp. 9 (2000) 1-12
10. Ermer J.J., Mosher J.C., Baillet S., and Leahy R.M. Rapidly recomputable eeg forward models for realistic head shapes. Phys. Med. Biol. 46 4 (2001) 1265-1281. http://stacks.iop.org/0031-9155/46/1265 http://stacks.iop.org/0031-9155/46/1265
11. Friston K., Harrison L., Daunizeau J., Kiebel S., Phillips C., Trujillo-Barreto N., Henson R., Flandin G., and Mattout J. Multiple sparse priors for the m/eeg inverse problem. NeuroImage 39 3 (2008) 1104-1120 (Feb.)
12. Gerloff C., Grodd W., Altenmüller E., Kolb R., Klose T.N.U., Voigt K., and Dichgans J. Coregistration of eeg and fmri in a simple motor task. Hum. Brain Mapp. 4 3 (1996) 199-209
13. Grave de Peralta Menendez R., Murray M.M., Michel C.M., Martuzzi R., and Gonzalez Andino S.L. Electrical neuroimaging based on biophysical constraints. NeuroImage 21 2 (2004) 527-539 (Feb.)
14. Heeger D.J., and Ress D. What does fmri tell us about neuronal activity?. Nat. Rev. Neurosci. 3 (2002) 142-151. http://dx.doi.org/10.1038/nrn730 http://dx.doi.org/10.1038/nrn730 (Feb.)
15. Heeger D.J., Huk A.C., Geisler W.S., and Albrecht D.G. Spikes versus bold: what does neuroimaging tell us about neuronal activity?. Nat. Neurosci. 3 (2000) 631-633. http://dx.doi.org/10.1038/76572 http://dx.doi.org/10.1038/76572 (Jul.)
16. Heinze H.J., Mangun G.R., Burchert W., Hinrichs H., Scholz M., Munte T.F., Gos A., Scherg M., Johannes S., Hundeshagen H., Gazzaniga M.S., and Hillyard S.A. Combined spatial and temporal imaging of brain activity during visual selective attention in humans. Nature 372 6506 (1994) 543-546. http://dx.doi.org/10.1038/372543a0 http://dx.doi.org/10.1038/372543a0 (Dec.)
17. Hmlinen M.S., and Ilmoniemi R.J. Interpreting magnetic fields of the brain: minimum norm estimates. Med. Biol. Eng. Comput. 32 (1994) 35-42. http://www.springerlink.com/content/4474345w652h8581 http://www.springerlink.com/content/4474345w652h8581
18. Hyvärinen A. Survey on independent component analysis. Neural Comput. Surv. 2 (1999) 94-128 citeseer.ist.psu.edu/hyv99survey.html
19. Jens Frahm H.B.K.D.M.W.H. Dynamic mr imaging of human brain oxygenation during rest and photic stimulation. J. Magn. Reson. Imaging 2 5 (1992) 501-505. http://dx.doi.org/10.1002/jmri.1880020505 http://dx.doi.org/10.1002/jmri.1880020505
20. Karl Friston R.H.C.P.J.M. Bayesian estimation of evoked and induced responses. Hum. Brain Mapp. 27 9 (2006) 722-735. http://dx.doi.org/10.1002/hbm.20214 http://dx.doi.org/10.1002/hbm.20214
21. Kiebel S.J., Daunizeau J., Phillips C., and Friston K.J. Variational bayesian inversion of the equivalent current dipole model in eeg/meg. NeuroImage 39 2 (2008) 728-741 (Jan.)
22. Liu A.K., Belliveau J.W., and Dale A.M. Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalography data: Monte Carlo simulations. Proc. Natl. Acad. Sci. 95 15 (1998) 8945-8950. http://www.pnas.org/cgi/content/abstract/95/15/8945 http://www.pnas.org/cgi/content/abstract/95/15/8945
23. Liu Z., and He B. fmri-eeg integrated cortical source imaging by use of time-variant spatial constraints. NeuroImage 39 3 (2008) 1198-1214 (Feb.)
24. Liu Z., Kecman F., and He B. Effects of fmri-eeg mismatches in cortical current density estimation integrating fmri and eeg: a simulation study. Clin. Neurophysiol. 117 7 (2006) 1610-1622 (Jul.)
25. Logothetis N.K., Pauls J., Augath M., Trinath T., and Oeltermann A. Neurophysiological investigation of the basis of the fmri signal. Nature 412 (2001) 150-157. http://dx.doi.org/10.1038/35084005 http://dx.doi.org/10.1038/35084005 (Jul.)
26. Menke W. Geophysical Data Analysis: Discrete Inverse Theory (1984), Academic Press, Inc., New York
27. Michel C.M., Murray M.M., Lantz G., Gonzalez-Andino S., Spinelli L., and Grave de Peralta-Menendez R. Eeg source imaging. Clin. Neurophysiol. 115 10 (2004) 2195-2222 (Oct.)
28. Moosmann M., Eichele T., Nordby H., Hugdahl K., and Calhoun V.D. Joint independent component analysis for simultaneous eeg-fmri: Principle and simulation. Int. J. Psychophysiol. 67 3 (2008) (Mar.)
29. Ogawa S., Lee T.M., Kay A.R., and Tank D.W. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc. Natl. Acad. Sci. U. S. A. 87 24 (1990) 9868-9872. http://www.jstor.org/view/00278424/di993925/99p0076q/0 http://www.jstor.org/view/00278424/di993925/99p0076q/0 (dec.)
30. Pascual-Marqui R.D., Michel C.M., and Lehmann D. Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int. J. Psychophysiol. 18 (1994) 49-65 (Oct.)
31. Phillips C., Rugg M.D., and Friston K.J. Anatomically informed basis functions for eeg source localization: combining functional and anatomical constraints. NeuroImage 16 3, Part 1 (2002) 678-695 (Jul.)
32. Phillips C., Mattout J., Rugg M.D., Maquet P., and Friston K.J. An empirical bayesian solution to the source reconstruction problem in eeg. NeuroImage 24 4 (2005) 997-1011 (Feb.)
33. Robinson P., Drysdale P., der Merwe H.V., Kyriakou E., Rigozzi M., Germanoska B., and Rennie C. Bold responses to stimuli: dependence on frequency, stimulus form, amplitude, and repetition rate. NeuroImage 31 (2006) 585-599
34. Sekihara K., Nagarajan S.S., Poeppel D., Marantz A., and Miyashita Y. Reconstructing spatio-temporal activities of neural sources using an meg vector beamformer technique. IEEE Trans. Biomed. Eng. 48 7 (2001) 760-771 (Jul.)
35. Shmuel A., Augath M., Oeltermann A., and Logothetis N.K. Negative functional mri response correlates with decreases in neuronal activity in monkey visual area v1. Nat. Neurosci. 9 (2006) 569-577. http://dx.doi.org/10.1038/nn1675 http://dx.doi.org/10.1038/nn1675 (Apr.)
36. Spinelli L., Andino S.G., Lantz G., Seeck M., and Michel C.M. Electromagnetic inverse solutions in anatomically constrained spherical head models. Brain Topogr. 13 2 (2000) 115-125. http://www.springerlink.com/content/j245h18536313151 http://www.springerlink.com/content/j245h18536313151
37. Stancák A., Polácek H., Vrána J., Rachmanová R., Hoechstetter K., Tintra J., and Scherg M. Eeg source analysis and fmri reveal two electrical sources in the fronto-parietal operculum during subepidermal finger stimulation. NeuroImage 25 1 (2005) 8-20 (Mar.)
38. Whittingstall K., Stroink G., and Schmidt M. Evaluating the spatial relationship of event-related potential and functional mri sources in the primary visual cortex. Hum. Brain Mapp. 28 2 (2007) 134-142