FMRI priors for the linear inverse estimation of eeg cortical sources

Electromagnetics

Volumn 21, Issue 7-8, 2001, Pages 579-592

  Cincotti, F ^a   Babiloni, C ^b,c   Carducci, F ^b,c   Rossini, P M ^d   Del Gratta, C ^e,f   Romani, G L ^e,f   Angelone, L ^b   Babiloni, F ^b  

^a IRCCS FONDAZIONE SANTA LUCIA   (Italy)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

^c FATEBENEFRATELLI HOSPITAL   (Italy)

^d IRCCS ISTITUTO CENTRO SAN GIOVANNI DI DIO FATEBENEFRATELLI   (Italy)

^e UNIVERSITY OF CHIETI   (Italy)

^f INFM   (Italy)

Author keywords

EEG fMRI integration; Event related fMRI; Linear inverse source estimate; Movement related potentials

Indexed keywords

BOUNDARY ELEMENTS; CORTICAL ACTIVITY; CORTICAL AREAS; DURA MATER; EVENT-RELATED FMRI; FMRI DATA; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEAD MODEL; HEMODYNAMIC RESPONSE; HIGH RESOLUTION; INVERSE ESTIMATION; LINEAR INVERSE PROBLEMS; LINEAR INVERSE SOURCE ESTIMATE; MAGNETIC RESONANCE IMAGES; MOVEMENT RELATED POTENTIALS; SENSOR NOISE; SOURCE MODELS;

BOUNDARY ELEMENT METHOD; ELECTROPHYSIOLOGY; INVERSE PROBLEMS; MAGNETIC RESONANCE IMAGING;

ESTIMATION;

EID: 0001348370     PISSN: 02726343     EISSN: 1532527X     Source Type: Journal    
DOI: 10.1080/027263401752246216     Document Type: Article

References (38)

1. Nunez, P. 1981. Electric fields of the brain. New York: Oxford University Press.
2. Nunez, P. 1995. Neocortical dynamics and human EEG rhythms. New York: Oxford University Press.
3. Scherg, M., D. von Cramon, and M. Elton. 1984. Brain-stem auditory-evoked potentials in post-comatose patients after severe closed head trauma. J. Neurol. 231(1):1-5.
4. Stok, C. J., J. W. Meijs, and M. J. Peters. 1987. Inverse solutions based on MEG and EEG applied to volume conductor analysis. Phys. Med. Biol. 32:99-104.
5. Salmelin, R., N. Forss, J. Knuutila, and R. Hari. 1995. Bilateral activation of the human somatomotor cortex by distal hand movements. Electroenceph. Clin. Neurophysiol. 95:444-452.
6. Buchner, H., G. Knoll, M. Fuchs, A. Rienacker, R. Beckmann, M. Wagner, J. Silny, and J. Pesch. 1997. Inverse localization of electric dipole current sources in finite element models of the human head, Electroenceph. Clin. Neurophys. 102:267-278.
7. Fuchs, M., M. Wagner, H. A. Wischmann, T. Kohler, A. Theissen, R. Drenckhahn, H. Buchner. 1998. Improving source reconstruction by combining bioelectrical and biomagnetic data. Electroenceph. Clin. Neurophysiol. 107:69-80.
8. Mosher, J. C., and R. M. Leahy. 1998. Recursive MUSIC: A framework for EEG and MEG source localization. IEEE Trans. Biomed. Eng. 45(11):1342-1354.
9. Kearfott, R., R. Sidman, D. Major, and D. Hill. 1991. Numerical test of a method for simulating electrical potentials on the cortical surface. IEEE Trans. Biomed. Eng. 38:294-299.
10. Le, J., and A. Gevins, 1993. Method to reduce blur distortion from EEG's using a realistic head model. IEEE Trans. Biomed. Eng. 40(6):517-528.
11. He, B., Y. Wang, and D. Wu. 1999. Estimating cortical potentials from scalp EEG's in a realistically shaped inhomogeneous head model by means of the boundary element method. IEEE Trans. Biomed. Eng. 46:1264-1268.
12. Liu, A. K., J. W. Belliveau, and A. M. Dale. 1998. Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalography data: Monte Carlo simulations. Proc. Natl. Acad. Sci. USA 95(15):8945-8950.
13. Fuchs, M., M. Wagner, Th. Kohler, H. A. Wischmann. 1999. Linear and nonlinear current density reconstructions. J. Clin. Neurophysiol. 16:267-295.
14. Baillet, S., L. Garnero, G. Marin, and J. P. Hugonin. 1999. Combined MEG and EEG source imaging by minimization of mutual information. IEEE Trans. Biomed. Eng. 46:522-534.
15. J. C. de Munck, and M. J. Peters. 1993. A fast method to compute the potential in the multisphere model. IEEE Trans. Biomed. Eng. 40(11):1166-1174.
16. Srebro, R. 1994. Continuous current source inversion of evoked potential fields in a spherical head model. IEEE Trans. Biomed. Eng. 41:437-444.
17. Yvert, B., O. Bertrand, J. F. Echallier, and J. Pernier. 1995. Improved forward EEG calculations using local mesh refinement of realistic head geometries. Electroe ncephalogr. Clin. Neurophysiol. 95(5):381-392.
18. Meijs, J., O. Weier, M. Peters, and A. van Oosterom. 1993. On the numerical accuracy of the boundary element method. IEEE Trans. Biomed. Eng. 42:1038-1049.
19. Dale, A. M., and M. Sereno. 1993. Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. J. Cognitive Neuroscience 5:162-176.
20. Hamalainen, M., and R. Ilmoniemi. 1984. Interpreting measured magnetic field of the brain: Estimates of the current distributions. Technical report TKK-F-A559, Helsinki University of Technology, Finland.
21. Dale, A., A. Liu, B. Fischl, R. Buckner, J. W. Belliveau, J. Lewine, and E. Halgren. 2000. Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron 26:55-67.
22. Ahlfors, S. P., G. V. Simpson, A. M. Dale, J. W. Belliveau, A. K. Liu, A. Korvenoja, J. Virtanen, M. Huotilainen, R. B. Tootell, H. J. Aronen, and R. J. Ilmoniemi. 1999. Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI. J. Neurophysiol. 82(5):2545-2555.
23. Liu, A. K. 2000. Spatiotemporal brain imaging. Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MA.
24. Babiloni, F., F. Carducci, F. Cincotti, C. Del Gratta, G. M. Roberti, G. L. Romani, P. M. Rossini, C. Babiloni. 2000. Integration of high resolution EEG and functional magnetic resonance in the study of human movement-related potentials. Method Inform. Med. 39:179-182.
25. Magistretti, P. J., L. Pellerin, D. L. Rothman, and R. G. Shulman. 1999. Energy on demand. Science 283(5401):496-497.
26. Grinvald, A., E. Lieke, R. D. Frostig, C. D. Gilbert, and T. N. Wiesel. 1986. Functional architecture of cortex revealed by optical imaging of intrinsic signals. Nature 324:361-364.
27. Puce, A., T. Allison, S. S. Spencer, D. D. Spencer, and G. McCarthy. 1997. Comparison of cortical activation evoked by faces measured by intracranial field potentials and functional MRI: Two case studies. Hum. Brain Mapp. 5:298-305.
28. Hamalainen, M., and J. Sarvas. 1989. Realistic conductivity geometry model of the human head for interpretation of neuromagnetic data. IEEE Trans. Biomed. Eng. 36:165-171.
29. Lynn, M., and W. Timlake. 1968. On the numerical solution of the singular integral equations of potential theory. Numer. Math. 11:77-98.
30. Grave de Peralta, R., and S. L. Gonzalez Andino. 1998. Distributed source models: standard solutions and new developments. In: Analysis of neurophysiological brain functioning, ed. C. Uhl, 176-201. New York: Springer-Verlag.
31. Hansen, P. C. 1992. Analysis of discrete ill-posed problems by means of the L-curve. SIAM Review 34:561-580.
32. Hansen, P. C. 1994. Regularization tools, a Matlab package for analysis and solution of discrete ill-posed problems. Numer Algorithms 6:1-35.
33. Gorodnitsky, I. F., J. S. George, and B. D. Rao. 1995. Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm. Electroencephalogr. Clin. Neurophysiol. 95:231-251.
34. Grave de Peralta, R., and S. L. Gonzalez Andino. 1998. A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problem. IEEE Trans. Biomed. Eng. 45(4):440-448.
35. Pascual Marqui, R. D., C. M. Michel, and D. Lehmann. 1994. Low resolution electromagnetic tomography: A new method for localizing electrical activity of the brain. Int. Journ. of Psychopsysiology 18:49-65.
36. Kim, S. G., J. Ashe, A. P. Georgopoulos, H. Merkle, J. M. Ellermann, R. S. Menon, S. Ogawa, and K. Ugurbil. 1993. Functional imaging of human motor cortex at high magnetic field. J. Neurophysiol. 69(1):297-302.
37. Shoham, D., D. E. Glaser, A. Arieli, T. Kenet, C. Wijnbergen, Y. Toledo, R. Hildesheim, and A. Grinvald. 1999. Imaging cortical dynamics at high spatial and temporal resolution with novel blue voltage-sensitive dyes. Neuron 24:791-802.
38. Arieli, A., A. Sterkin, A. Grinvald, and A. D. Aertsen. 1996. Dynamics of ongoing activity: Explanation of the large variability in evoked cortical responses. Science 273:1868-1871.