Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework

NeuroImage

Volumn 36, Issue 1, 2007, Pages 69-87

  Daunizeau, Jean ^a,b,c,d,i   Grova, Christophe ^e   Marrelec, Guillaume ^b,c,d,i   Mattout, Jérémie ^a,b,f,i   Jbabdi, Saad ^b,g,i   Pélégrini Issac, Mélanie ^b,c,i   Lina, Jean Marc ^b,d,h,i   Benali, Habib ^b,c,d,i  

^a WELLCOME TRUST CENTRE FOR NEUROIMAGING   (United Kingdom)

^b INSERM   (France)

^c SORBONNE UNIVERSITÉ   (France)

^d UNIVERSITÉ DE MONTRÉAL   (Canada)

^e MCGILL UNIVERSITY   (Canada)

^f DIF   (France)

^g UNIVERSITY OF OXFORD   (United Kingdom)

^h ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

ⁱ IFR 49   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; BIOENERGY; BRAIN REGION; ELECTROENCEPHALOGRAM; FOCAL EPILEPSY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HEMODYNAMICS; HUMAN; INTRACUTANEOUS TEST; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SIMULATION; WHITE MATTER;

ADULT; ARTIFACTS; BAYES THEOREM; BRAIN MAPPING; CEREBRAL CORTEX; COMPUTER SIMULATION; DOMINANCE, CEREBRAL; ELECTROENCEPHALOGRAPHY; EPILEPSIES, PARTIAL; EVOKED POTENTIALS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; OCCIPITAL LOBE;

EID: 34247384639     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.01.044     Document Type: Article

References (55)

1. Ahlfors S.P., and Simpson G.U. Geometrical interpretation of fMRI-guided MEG/EEG. NeuroImage 22 (2004) 323-332
2. Alarcon G., Guy C., Walker S., Elwes R., and Polkey C. Intracerebral propagation of interictal activity in partial epilepsy: implications for source localization. J. Neurol. Neurosurg. Psychiatry 57 (1994) 435-449
3. Arthurs O.J., and Boniface S.J. What aspect of the fMRI BOLD signal best reflects the underlying electrophysiology in human somatosensory cortex?. Clin. Neurophysiol. 114 (2003) 1203-1209
4. Babiloni F., Babiloni C., Carduci F., Romani G.L., Rossini P.M., Angelone L., and Cincotti F. Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation study. NeuroImage 19 (2003) 1-15
5. Baillet S., Mosher J.C., and Leahy R.M. Electromagnetic brain mapping. IEEE Signal Process. Mag. 18 (2001) 14-30
6. Bandettini P.A., Kwong K.K., Davis T.L., Tootell R.B.H., Wong E.C., Fox P.T., Belliveau J.W., Weissko R.M., and Rosen B.R. Characterization of cerebral blood oxygenation and flow changes during prolonged brain activation. Hum. Brain Mapp. 5 (1997) 93-109
7. Bellec P., Marrelec G., Posé C., Jolivet O., Pélégrini-Issac M., Doyon J., and Benali H. An assisted data-driven procedure to select functionally connected brain regions in fMRI. Proceedings of the 10th International Conference on Functional Mapping of the Human Brain. Available on NeuroImage CD-Rom, volume 22, Budapest, Hungary (2004)
8. BrainStorm, 2005. BrainStorm software. Available at http://neuroimage.usc.edu/brainstorm/.
9. BrainVISA, 2005. BrainVISA software. Available at http://brainvisa.info/.
10. Chang N., Gulrajani R., and Gotman J. Dipole localization using simulated intracerebral EEG. Clin. Neurophysiol. 116 (2005) 2707-2716
11. Dale A.M., and Sereno M. Improved localization of cortical activity by combining EEG and MEG with MRI surface reconstruction: a linear approach. J. Cogn. Neurosci. 5 (1993) 162-176
12. Daunizeau J., Mattout J., Goulard B., Lina J.M., and Benali H. Data-driven cortex parcelling: a regularization tool for the EEG/MEG inverse problem. Second 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'04) (2004) 1343-1346 Arlington, VA
13. Daunizeau J., Grova C., Mattout J., Marrelec G., Clonda D., Goulard B., Lina J.M., and Benali H. Assessing the relevance of fMRI-based prior in the EEG inverse problem: a Bayesian Model Comparison approach. IEEE Trans. Sign. Proc. 53 (2005) 3461-3472
14. Daunizeau J., Mattout J., Clonda D., Goulard B., Benali H., and Lina J.M. Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models. IEEE Trans. Biomed. Eng. 53 (2005) 503-516
15. de Munck J.C. The potential distribution in a layered spheroidal volume conductor. J. Appl. Phys. 64 (1988) 464-470
16. Flandin G., Kherif F., Pennec X., Rivière D., Ayache N., and Poline J.B. Parcellation of brain images with anatomical and functional constraints for fMRI data analysis. Proc. IEEE ISBI (2002) 907-910 Washington, DC, USA, Juil
17. Friston K.J. Models of brain function in neuroimaging. Annu. Rev. Psychol. 56 (2005) 57-87
18. Friston K.J. A theory of cortical responses. Philos. Trans. R. Soc. 360 (2005) 815-836
19. Friston K.J., Holmes A.P., Poline J.B., Grasby P.J., Williams S.C., Frackowiak R.S., and Turner R. Analysis of fMRI time-series revisited. NeuroImage 2 (1995) 45-53
20. Gelman A., Carlin J.B., Stern H.S., and Rublin D.B. Bayesian Data Analysis (1998), Chapman and Hall, Londres
21. Ghahramani Z. Factorial learning and the EM algorithm. Adv. Neural Inf. Process. Syst. 7 (1995) 617-624
22. Gonzales A.S.L., Blanke O., Lantz Thut G., and Grave de Peralta Merendez R. The use of functional constraints for the neuromagnetic inverse problem: alternatives and caveats. Int. J. Bioelectromagn. 3 (2001) 103-114
23. Gössl C., Auer D., and Fahrmeir L. Bayesian spatiotemporal inference in functional magnetic resonance imaging. Biometrics 57 (2001) 554-562
24. Gotman J., Benar C.G., and Dubeau F. Combining EEG and fMRI in epilepsy: methodological challenges and clinical results. J. Clin. Neurophysiol. 21 (2004) 179-192
25. Grova C., Makni S., Flandin G., Ciuciu P., Gotman J., and Poline J.B. Anatomically informed interpolation of fMRI data on the cortical surface. NeuroImage 31 (2006) 1475
26. Hauk O. Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data. NeuroImage 21 (2004) 1612-1621
27. Heeger D.J. What fMRI tells us about neuronal activity?. Nature 3 (2002) 142-151
28. Kass R.E., and Wassermann L. The selection of prior distributions by formal rules. J. Am. Stat. Assoc. 91 (1996) 1343-1370
29. Lapalme E., Lina J.M., and Mattout J. Data-driven parceling and entropic inference in MEG. NeuroImage 30 (2006) 160-171
30. Liu A.K., Belliveau J.W., and Dale A.M. Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalographic data: Monte Carlo simulations. Proc. Natl. Acad. Sci. U. S. A. 95 (1998) 8945-8950
31. Logothetis N.K., and Wandell B.A. Interpreting the BOLD signal. Annu. Rev. Physiol. 66 (2004) 735-769
32. Logothetis N.K., Pauls J., Augath M., Trinath T., and Oeltermann A. Neuro-physiological investigation of the basis of the fMRI signal. Nature 412 (2001) 150-157
33. Marrelec G., Benali H., Ciuciu P., and Poline J.B. Bayesian estimation of the hemodynamic response function in functional MRI. In: Fry R. (Ed). Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Workshop Proceedings (2001), AIP, Melville 229-247
34. Marrelec G., Benali H., Ciuciu P., Pélégrini-Issac M., and Poline J.B. Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information. Hum. Brain Mapp. 19 (2003) 1-17
35. Marrelec G., Ciuciu P., Pélégrini-Issac M., and Benali H. Estimation of the hemodynamic response function in event-related functional MRI: directed acyclic graphs for a general Bayesian inference framework. In: Taylor C.J., and Noble J.A. (Eds). Information Processing in Medical Imaging (2003), Springer-Verlag, Berlin 635-646
36. Marrelec G., Ciuciu P., Pélégrini-Issac M., and Benali H. Estimation of the hemodynamic response function in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modelling and inference. IEEE Trans. Med. Imag. 23 (2004) 959-967
37. Martindale J., Mayhew J., Berwick J., Jones M., Martin C., Johnston D., Redgrave P., and Zheng Y. The hemodynamic impulse response to a single neural event. J. Cereb. Blood Flow Metab. 23 (2003) 546-555
38. Mathiesen C., Caesar K., Akgoren N., and Lauritzen M. Modification of activity-dependent increases of cerebral blood flow by excitatory synaptic activity and spikes in rat cerebellar cortex. J. Physiol. 512 (1998) 555-566
39. MATLAB. MATLAB software, 2005. Available at http://www.mathworks.com/.
40. Mattout J., Philipps C., Rugg M.D., and Friston K.J. MEG source localization under multiple constraints: an extended Bayesian framework. NeuroImage 30 (2006) 753-767
41. Mosher J.C., and Leahy R.M. Recursive MUSIC: a framework for EEG and MEG source localization. IEEE Trans. Biomed. Eng. 45 (1998) 1342-1354
42. Mukamel R., Gelbard H., Arieli A., Hasson U., Fried I., and Malach R. Coupling between neuronal ring, field potentials, and fMRI in human auditory cortex. Science 5 (2005) 951-954
43. Nunez P.L. Electric Fields of the Brain (1981), New York Press, Oxford
44. Nunez P.L., and Silberstein R.B. On the relationship of synaptic activity to macroscopic measurements: does co-registration of EEG with fMRI make sense?. Brain Topogr. 13 (2000) 79-96
45. 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
46. Pieger P.J., and Greenblatt R.E. Nonlinear analysis of multimodal dynamic brain imaging data. Int. J. Bioelectromagn. 3 (2001). http://www.ijbem.org/volume3/number1/toc.htm (Available at http://www.ijbem.org/volume3/number1/toc.htm)
47. Puce A., Allison T., Spencer S.S., Spencer D.D., and McCarthy G. Comparison of cortical activation evoked by faces measured by intracranial field potentials and functional MRI: two cases studies. Hum. Brain Mapp. 5 (1997) 298-305
48. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., and Schuman G.L. A default mode of brain function. Proc. Natl. Acad. Sci. U. S. A. 98 (2000) 67-682
49. Riera J., Wan X., Jimenez J.C., and Kawashima R. Nonlinear local electrovascular coupling: I. A theoretical model. Hum. Brain Mapp. 25 (2006) 1025-1041
50. Simon O., Kherif F., Flandin G., Poline J.B., Rivière D., Mangin J.F., Le Bihan D., and Dehaene S. Automatized clustering and functional geometry of human parietofrontal networks for language, space, and number. NeuroImage 23 (2004) 1192-1202
51. SPM, 2005. SPM 5 software. Available at http://www.fil.ion.ucl.ac.uk/spm/.
52. Stefan K., Harrison L.E., Penny W.D., and Friston K. Biophysical models of fMRI responses. Curr. Opin. Neurobiol. 14 (2004) 629-635
53. Stefanovic B., Warnking J.M., and Kobayashi E. Hemodynamic and metabolic responses to activation, deactivation and epileptic discharges. NeuroImage 28 (2005) 205-215
54. Trujillo N.J., Martinez E., Melie L., and Valdès-Sosa P.A. Bayesian model for fMRI and EEG/MEG neuroimage fusion. Int. J. Bioelectromagn. 3 (2001). http://www.ijbem.org/volume3/number1/toc.htm (Available at http://www.ijbem.org/volume3/number1/toc.htm)
55. Worsley K.J., Liao C., Aston J., Petre V., Duncan G.H., Morales F., and Evans A.C. A general statistical analysis for fMRI data. NeuroImage 15 (2002) 1-15