Automatic fMRI-guided MEG multidipole localization for visual responses

Human Brain Mapping

Volumn 30, Issue 4, 2009, Pages 1087-1099

  Auranen, Toni ^a   Nummenmaa, Aapo ^a   Vanni, Simo ^a   Vehtari, Aki ^a   Hämäläinen, Matti S ^b   Lampinen, Jouko ^a   Jääskeläinen, Iiro P ^a  

^a AALTO UNIVERSITY   (Finland)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Dipole analysis; fMRI; Human visual system; Inverse problem; Markov chain Monte Carlo; MEG; Multimodal brain imaging

Indexed keywords

ADULT; ARTICLE; AUTOMATION; BAYES THEOREM; BRAIN CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MAGNETOENCEPHALOGRAPHY; MALE; MATHEMATICAL MODEL; NEUROIMAGING; NORMAL HUMAN; PRIORITY JOURNAL; PROBABILITY; QUALITATIVE ANALYSIS; STOCHASTIC MODEL; VISUAL STIMULATION;

ADULT; AUTOMATIC DATA PROCESSING; BRAIN MAPPING; CEREBRAL CORTEX; COMPUTER SIMULATION; ELECTRIC STIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MAGNETOENCEPHALOGRAPHY; MALE; MARKOV CHAINS; MODELS, NEUROLOGICAL; OXYGEN; PHOTIC STIMULATION;

EID: 63849115019     PISSN: 10659471     EISSN: None     Source Type: Journal    
DOI: 10.1002/hbm.20570     Document Type: Article

References (50)

1. Ahlfors SP, Simpson GV, Dale AM, Belliveau JW, Liu AK, Korvenoja A, Virtanen J, Huotilainen M, Tootell RBH, Aronen HJ, Ilmoniemi RJ (1999): Spatiotemporal activity of a cortical network for processing visual motion revealed by MEG and fMRI. J Neurophysiol 82:2545-2555.
2. p-norm priors. Neuroimage 26:870-884.
3. Auranen T, Nummenmaa A, Hämäläinen MS, Jääskeläinen IP, Lampinen J, Vehtari A, Sams M (2007): Bayesian inverse analysis of neuromagnetic data using cortically constrained multiple dipoles. Hum Brain Mapp 28:979-994.
4. Baillet S, Garnero L (1997): A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem. IEEE Trans Biomed Eng 44:374-385.
5. Beckmann C, Jenkinson M, Smith SM (2003): General multi-level linear modelling for group analysis in fMRI. Neuroimage 20:1052-1063.
6. Belliveau JW, Kennedy DNJ, McKinstry RC, Buchbinder BR, Weisskoff RM, Cohen MS, Vevea JM, Brady TJ, Rosen BR (1991): Functional mapping of the human visual cortex by magnetic resonance imaging. Science 254:716-719.
7. Bernardo JM, Smith AFM (1994): Bayesian Theory. Chichester: Wiley.
8. Bertrand C, Ohmi M, Suzuki R, Kado H (2001): A probabilistic solution to the MEG inverse problem via MCMC methods: The reversible jump and parallel tempering algorithms. IEEE Trans Biomed Eng 48:533-542.
9. Clark E, Quinn A (1999): A data-driven Bayesian sampling scheme for unsupervised image segmentation. In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, March 15-19, 1999, Phoenix, Arizona, USA.
10. Courtney SM, Ungerleider LG (1997): What fMRI has taught us about human vision. Curr Opin Neurobiol 7:554-561.
11. Dale AM, Fischl B, Sereno MI (1999): Cortical surface-based analysis. I. Segmentation and surface reconstruction. Neuroimage 9:179-194.
12. Dale AM, Liu AK, Fischl BR, Buckner RL, Belliveau JW, Lewine JD, Halgren E (2000): Dynamic statistical parametric mapping: Combining fMRI and MEG for high-resolution imaging of cortical activity. Neuron 26:55-67.
13. Daunizeau J, Grova C, Mattout J, Marrelec G, Clonda D, Goulard B, Pélégrini-Issac M, Lina JM, Benali H (2005): Assessing the relevance of fMRI-based prior in the EEG inverse problem: A Bayesian model comparison approach. IEEE Trans Signal Process 53:3461-3472.
14. DeYoe EA, Carman GJ, Bandettini P, Glickman S, Wieser J, Cox R, Miller D, Neitz J (1996): Mapping striate and extrastriate visusal areas in human cerebral cortex. Proc Natl Acad Sci USA 93:2382-2386.
15. Dougherty RF, Koch VM, Brewer AA, Fischer B, Modersitzki J, Wandell BA (2003): Visual field representations and locations of visual areas V1/2/3 in human visual cortex. J Vis 3:586-598.
16. Engel SA, Glover GH, Wandell BA (1997): Retinotopic organization in human visual cortex and the spatial precision of functional MRI. Cereb Cortex 7:181-192.
17. Fischl B, Liu A, Dale AM (2001): Automated manifold surgery: Constructing geometrically accurate and topologically correct models of the human cerebral cortex. IEEE Trans Med Imaging 20:70-80.
18. Fischl B, Sereno MI, Dale AM (1999): Cortical surface-based analysis II: Inflation, flattening, and a surface-based coordinate system. Neuroimage 9:195-207.
19. Friston KJ, Glaser DE, Henson RNA, Kiebel S, Phillips C, Ashburner J (2002a): Classical and Bayesian inference in neuroimaging: Applications. Neuroimage 16:484-512.
20. Friston KJ, Penny W, Phillips C, Kiebel S, Hinton G, Ashburner J (2002b): Classical and Bayesian inference in neuroimaging: Theory. Neuroimage 16:465-483.
21. Gelman A, Carlin JB, Stern HS, Rubin DB (2003): Bayesian Data Analysis, 2nd ed. New York: Chapman and Hall.
22. Gilks WR, Richardson S, Spiegelhalter DJ (1996): Markov chain Monte Carlo in Practice. New York: Chapman and Hall.
23. Hämäläinen MS, Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV (1993): Magnetoencephalography - Theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Modern Phys 65:413-497.
24. Jenkinson M, Bannister P, Brady M, Smith S (2002): Improved optimisation for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17:825-841.
25. Jenkinson M, Smith SM (2001): A global optimisation method for robust affine registration of brain images. Med Image Anal 5:143-156.
26. Jun SC, George JS, Paré-Blagoev J, Plis SM, Ranken DM, Schmidt DM, Wood CC (2005): Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data. Neuroimage 28: 84-98.
27. Jun SC, George JS, Plis SM, Ranken DM, Schmidt DM, Wood CC (2006): Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis. Phys Med Biol 51:2395-2414.
28. Kaipio JP, Somersalo E (2005): Statistical and Computational Inverse Problems, Vol. 160 of Applied Mathematical Sciences. New York: Springer.
29. Kincses WE, Braun C, Kaiser S, Grodd W, Ackermann H, Mathiak K (2003): Reconstruction of extended cortical sources for EEG and MEG based on a Monte-Carlo-Markov-chain estimator. Hum Brain Mapp 18:100-110.
30. Korvenoja A, Huttunen J, Salli E, Pohjonen H, Martinkauppi S, Palva JM, Lauronen L, Virtanen J, Ilmoniemi RJ, Aronen HJ (1999): Activation of multiple cortical areas in response to somatosensory stimulation: Combined magnetoencephalographic and functional magnetic resonance imaging. Hum Brain Mapp 8:13-27.
31. Kwong KK, Belliveau JW, Chesler DA, Goldberg IE, Weisskoff RM, Poncelet BP, Kennedy DN, Hoppel BE, Cohen MS, Turner R, Cheng HM, Brady TJ, Rosen BR (1992): Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc Natl Acad Sci USA 89:5675-5679.
32. Liu AK, Belliveau JW, Dale AM (1998): Spatiotemporal imaging of human brain activity using functional MRI constrained magnetoencephalography data: Monte Carlo simulations. Proc Natl Acad Sci USA 95:8945-8950.
33. Mosher JC, Leahy RM, Lewis PS (1999): EEG and MEG: Forward solutions for inverse methods. IEEE Trans Biomed Eng 46:245-259.
34. Nunez PL (1981): Electric Fields of the Brain: The Neurophysics of EEG. New York: Oxford University Press.
35. Ogawa S, Tank DW, Menon R, Ellermann JM, Kim S, Merkle H, Ugurbil K (1992): Intrinsic signal changes accompanying sensory stimulation: Functional brain mapping with magnetic resonance imaging. Proc Natl Acad Sci USA 89:5951-5955.
36. Phillips C, Mattout J, Rugg MD, Maquet P, Friston KJ (2005): An empirical Bayesian to the source reconstruction problem in EEG. Neuroimage 24:997-1011.
37. Phillips JW, Leahy RM, Mosher JC (1997): MEG-based imaging of focal neuronal current sources. IEEE Trans Med Imaging 16:338-348.
38. Sarvas J (1987): Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys Med Biol 32:11-22.
39. Schmidt DM, George JS, Ranken DM, Wood CC (2000): Spatialtemporal Bayesian inference for MEG/EEG. In: Biomag 2000: 12th International Conference on Biomagnetism, Espoo, Finland. URL http://biomag2000.hut.fi/papers/0671.pdf.
40. Schmidt DM, George JS, Wood CC (1999): Bayesian inference applied to the electromagnetic inverse problem. Hum Brain Mapp 7:195-212.
41. Sereno MI, Dale AM, Reppas JB, Kwong KK, Belliveau JW, Brady TJ, Rosen BR, Tootell RBH (1995): Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. Science 268:889-893.
42. Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H, Bannister PR, Luca MD, Drobnjak I, Flitney DE, Niazy RK, Saunders J, Vickers J, Zhang Y, Stefano ND, Brady JM, Matthews PM (2004): Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23:S208-S219.
43. Tu Z, Zhu SC (2002): Image segmentation by data-driven Markov chain Monte Carlo. IEEE Trans Pattern Anal Mach Intell 24:657-673.
44. Vanni S, Dojat M, Warnking J, Delon-Martin C, Segebarth C, Bullier J (2004a): Timing of interactions across the visual field in the human cortex. Neuroimage 21:818-828.
45. Vanni S, Henriksson L, James AC (2005): Multifocal fMRI mapping of visual cortical areas. Neuroimage 27:95-105.
46. Vanni S, Warnking J, Dojat M, Delon-Martin C, Bullier J, Segebarth C (2004b): Sequence of pattern onset responses in the human visual areas: An fMRI constrained VEP source analysis. Neuroimage 21:801-817.
47. Watson JDG, Myers R, Frackowiak RSJ, Hajnal JV, Woods RP, Mazziotta JC, Shipp S, Zeki S (1993): Area V5 of the human brain: Evidence from a combined study using positron emission tomography and magnetic resonance imaging. Cereb Cortex 3:79-94.
48. Woolrich MW, Behrens TEJ, Beckmann CF, Jenkinson M, Smith SM (2004): Multi-level linear modelling for fMRI group analysis using Bayesian inference. Neuroimage 21:1732-1747.
49. Woolrich MW, Ripley BD, Brady JM, Smith SM (2001): Temporal autocorrelation in univariate linear modelling of fMRI data. Neuroimage 14:1370-1386.
50. Worsley KJ, Evans AC, Marrett S, Neelin P (1992): A three-dimensional statistical analysis for CBF activation studies in human brain. J Cereb Blood Flow Metab 12:900-918.