Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: A simulation study

NeuroImage

Volumn 19, Issue 1, 2003, Pages 1-15

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

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF CHIETI   (Italy)

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

^d FATEBENEFRATELLI HOSPITAL   (Italy)

^e INFM   (Italy)

^f UNIVERSITY CAMPUS BIO MEDICO   (Italy)

^g IRCCS FONDAZIONE SANTA LUCIA   (Italy)

Author keywords

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

Indexed keywords

ANALYSIS OF VARIANCE; ANALYTICAL ERROR; ARTICLE; BRAIN CORTEX; BRAIN REGION; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; ELECTROENCEPHALOGRAPHY; MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; OPERATOR; OPTICAL RESOLUTION; PRIORITY JOURNAL; SCALP; SIGNAL NOISE RATIO; SIMULATION; SKIN ELECTRODE; STATISTICAL SIGNIFICANCE; WAVEFORM;

EID: 0037763683     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1053-8119(03)00052-1     Document Type: Article

References (32)

1. Arthurs O., Boniface S. How well do we understand the neural origins of the fMRI BOLD signal? Trends Neurosci. 25:2002;27-31.
2. Babiloni, F., Babiloni, C., Carducci, F., Del Gratta, C., Romani, G.L., Rossini, P., Cincotti, F., 2002. Cortical source estimate of combined high resolution EEG and fMRI data related to voluntary movements. Methods Inform. Med. 41, 443-450.
3. Babiloni F., Carducci F., Cincotti F., Del Gratta C., Pizzella V., Romani G.L., Rossini P.M., Tecchio F., Babiloni C. Linear inverse source estimate of combined EEG and MEG data related to voluntary movements. Hum. Brain Mapp. 14:(4):2001;197-210.
4. Baillet S., Garnero L. A bayesian framework to introducing anatomo-functional priors in the EEG/MEG inverse problem. IEEE Trans. Biomed. Eng. 44:1997;374-385.
5. Baillet S., Garnero L., Marin G., Hugonin P. Combined MEG and EEG source imaging by minimization of mutual information. IEEE Trans. Biomed. Eng. 46:1999;522-534.
6. Braitenberg V., Schuz A. Anatomy of the Cortex Statistics and Geometry. 1991;Springer-Verlag, New York.
7. Cincotti F., Babiloni C., Carducci F., De Gratta C., Romani G.L., Rossini P.M., Angelone L., Babiloni F. The use of fMRI priors for the estimation of cortical activity with high resolution EEG. Electromagnetics. 21:2001;579-592.
8. Dale A., Liu A., Fischl B., Buckner R., Belliveau J.W., Lewine J., Halgren E. Dynamic statistical parametric mapping combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron. 26:2000;55-67.
9. Dale A.M., Halgren E. Spatiotemporal mapping of brain activity by integration of multiple imaging modalities. Curr. Opin. Neurobiol. 11:(2):2001;202-208.
10. Dale A.M., Sereno M. Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction a linear approach. J. Cogn. Neurosci. 5:1993;162-176.
11. Fuchs M., Wagner M., Wischmann H.A., Kohler T., Theissen A., Drenckhahn R., Buchner H. Improving source reconstruction by combining bioelectrical and biomagnetic data. Electroencephagr. Clin. Neurophysiol. 107:1998;69-80.
12. George J.S., Aine C.J., Mosher J.C., Schmidt D.M., Ranken D.M., Schlitt H.A., Wood C.C., Lewine J.D., Sanders J.A., Belliveau J.W. Mapping function in the human brain with MEG, anatomical MRI and functional MRI. J. Clin. Neurophysiol. 12:1995;406-431.
13. Grav de Peralta Menendez R., Gonzalez Andino S.L. Distributed source models standard solutions and new developments. Uhl C. Analysis of Neurophysiological Brain Functioning. 1998;176-201 Springer Verlag, New York.
14. Grinvald A., Lieke E., Frostig R.D., Gilbert C.D., Wiesel T.N. Functional architecture of cortex revealed by optical imaging of intrinsic signals. Nature. 324:(6095):1986;361-364.
15. Hämäläinen, M., Ilmoniemi, R., 1984. Interpreting Measured Magnetic Field of the Brain: Estimates of the Current Distributions. Technical Report TKK-F-A559, Helsinki University of Technology.
16. Hansen P.C. Analysis of discrete ill-posed problems by means of the L-curve. SIAM Rev. 34:1992;561-580.
17. Hansen P.C. Numerical tools for the analysis and solution of Fredholm integral equations of the first kind. Inverse Problems. 8:1992;849-872.
18. Kim S., Ashe J., Hendrich K., Ellermann J., Merkle H., Ugurbil K., Georgopulos A. Functional magnetic resonance imaging of motor cortex hemispheric asymmetry and handedness. Science. 261:1993;615-617.
19. Liu, A.K., 2000. Spatiotemporal Brain Imaging, PhD dissertation. Massachusetts Institute of Technology, Cambridge, MA.
20. Liu A.K., Belliveau J.W., 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.
21. Liu A.K., Belliveau J.W., Dale A.M. Monte Carlo simulation studies of EEG and MEG localization accuracy. Hum. Brain Mapp. 16:2002;47-62.
22. Logothetis N.K., Pauls J., Augath M., Trinath T., Oeltermann A. Neurophysiological investigation of the basis of the fMRI signal. Nature. 412:(6843):2001;150-157.
23. Magistretti P.J., Pellerin L., Rothman D.L., Shulman R.G. Energy on demand. Science. 283:(5401):1999;496-497.
24. Malonek D., Grinvald A. Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy implications for functional brain mapping . Science. 272:(5261):1996;551-554.
25. Nunez P. Electric Fields of the Brain. 1981;Oxford University Press, New York.
26. Nunez P.L. Neocortical Dynamics and Human EEG Rhythms. 1995;Oxford University Press, New York.
27. Nunez P.L., Silberstein R. On the relationship of synaptic activity to macroscopic measurements does co-registration of EEG with fMRI make sense? Brain Topogr. 13:(2):2000;79-96.
28. Pascual-Marqui R.D. Reply to comments by Hamalainen, Ilmoniemi and Nunez. ISBET Newslett. 6:1995;16-28.
29. Puce A., Allison T., Spencer S.S., Spencer D.D., McCarthy G. Comparison of cortical activation evoked by faces measured by intracranial field potentials and functional MRI two case studies . Hum. Brain Mapp. 5:(4):1997;298-305.
30. Regan D. Human Brain Electrophysiology Evoked Potentials and Evoked Magnetic Fields in Science and Medicine . 1989;Elsevier Press, New York.
31. Scherg M., von Cramon D., Elton M. Brain-stem auditory-evoked potentials in post-comatose patients after severe closed head trauma. J. Neurol. 231:(1):1984;1-5.
32. Sharbrough F., Chatrian G.E., Lesse R.P., Luders H., Nuwer M., Picton T.W. American electroencephalographic society guidelines for standard electrode position nomenclature. J. Clin. Neurophysiol. 8:(2):1991;200-202.