References cited in our About MEG pages

  • Ashburner, J., & Friston, K. (1997, Oct). Multimodal image coregistration and partitioning–a unified framework. Neuroimage, 6(3), 209–217.
  • Astolfi, L., Cincotti, F., Babiloni, C., Carducci, F., Basilisco, A., Rossini, P. M., . (2005, May). Estimation of the cortical connectivity by high-resolution EEG and structural equation modeling: simulations and application to finger tapping data. IEEE Trans Biomed Eng, 52(5), 757–768.
  • Attal, Y., Bhattacharjee, M., Yelnik, J., Cottereau, B., Lefèvre, J., Okada, Y., . (2009, June). Modelling and detecting deep brain activity with MEG and EEG. IRBM–Biomed. Eng. & Res., 30(3), 133–38.
  • Badia, A. E. (2004). Summary of some results on an EEG inverse problem. Neurol Clin Neurophysiol, 2004, 102.
  • Baillet, S., Mosher, J., & Leahy, R. (2001). Electromagnetic brain mapping. IEEE Signal Processing Magazine, 18(6), 14-30.
  • Baillet, S., Riera, J. J., Marin, G., Mangin, J. F., Aubert, J., & Garnero, L. (2001, Jan). Evaluation of inverse methods and head models for EEG source localization using a human skull phantom. Phys Med Biol, 46(1), 77–96.
  • Bandettini, P. A. (2009, Mar). What’s new in neuroimaging methods? Ann N Y Acad Sci, 1156, 260–293.
  • Baryshnikov, B. V., Veen, B. D. V., & Wakai, R. T. (2004). Maximum likelihood dipole fitting in spatially colored noise. Neurol Clin Neurophysiol, 2004, 53.
  • Bassett, D. S., & Bullmore, E. T. (2009, Aug). Human brain networks in health and disease. Curr Opin Neurol, 22(4), 340–347.
  • Baule, G., & McFee, R. (1963). Detection of the magnetic field of the heart. Am Heart J, 66, 95-6.
  • Biermann-Ruben, K., Kessler, K., Jonas, M., Siebner, H. R., Bäumer, T., Münchau, A., . (2008, Apr). Right hemisphere contributions to imitation tasks. Eur J Neurosci, 27(7), 1843–1855.
  • Bohórquez, J., & Ozdamar, O. (2008, Nov). Generation of the 40-hz auditory steady-state response (ASSR) explained using convolution. Clin Neurophysiol, 119(11), 2598–2607.
  • Cheyne, D., Bakhtazad, L., & Gaetz, W. (2006). Spatiotemporal mapping of cortical activity accompanying voluntary movements using an event-related beamforming approach. Human Brain Mapping, 27(3), 213–229.
  • Cimatti, Z., Schwartz, D. P., Bourdain, F., Meunier, S., Bleton, JP., Vidailhet, M., . (2007, Jan). Time-frequency analysis reveals decreased high-frequency oscillations in writer’s cramp. Brain, 130(Pt 1), 198–205.
  • Clementz, B. A., Barber, S. K., & Dzau, J. R. (2002). Knowledge of stimulus repetition affects the magnitude and spatial distribution of low-frequency event-related brain potentials. Audiol Neurootol, 7(5), 303–314.
  • Dale, A., & Sereno, M. (1993). Improved localization of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: A linear approach. Journal of Cognitive Neuroscience, 5, 162-176.
  • Darvas, F., Ermer, J. J., Mosher, J. C., & Leahy, R. M. (2006, Feb). Generic head models for atlas-based EEG source analysis. Hum Brain Mapp, 27(2), 129–143.
  • Darvas, F., Pantazis, D., Kucukaltun-Yildirim, E., & Leahy, R. M. (2004). Mapping human brain function with MEG and EEG: methods and validation. Neuroimage, 23, S289–S299.
  • Darvas, F., Rautiainen, M., Pantazis, D., Baillet, S., Benali, H., Mosher, J. C., . (2005, Apr). Investigations of dipole localization accuracy in MEG using the bootstrap. Neuroimage, 25(2), 355–368.
  • Daunizeau, J., Mattout, J., Clonda, D., Goulard, B., Benali, H., & Lina, JM. (2006, Mar). Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ecd and distributed models. IEEE Trans Biomed Eng, 53(3), 503–516.
  • David, O., & Friston, K. J. (2003, Nov). A neural mass model for MEG/EEG: coupling and neuronal dynamics. Neuroimage, 20(3), 1743–1755.
  • David, O., Kiebel, S. J., Harrison, L. M., Mattout, J., Kilner, J. M., & Friston, K. J. (2006, May). Dynamic causal modeling of evoked responses in EEG and MEG. Neuroimage, 30(4), 1255–1272.
  • Davison, A. C. A. C., & Hinkley, D. V. (1997). Bootstrap methods and their application. Cambridge University Press.
  • Deco, G., Jirsa, V. K., Robinson, P. A., Breakspear, M., & Friston, K. (2008). The dynamic brain: from spiking neurons to neural masses and cortical fields. PLoS Comput Biol, 4(8), e1000092.
  • Delorme, A., Sejnowski, T., & Makeig, S. (2007, Feb). Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. Neuroimage, 34(4), 1443–1449.
  • Demoment, G. (1989, Dec.). Image reconstruction and restoration: overview of common estimation structures and problems. Acoustics, Speech, and Signal Processing [see also IEEE Transactions on Signal Processing], IEEE Transactions on, 37(12), 2024–2036.
  • Ding, J., Sperling, G., & Srinivasan, R. (2006, Jul). Attentional modulation of ssvep power depends on the network tagged by the flicker frequency. Cereb Cortex, 16(7), 1016–1029.
  • Dogdas, B., Shattuck, D. W., & Leahy, R. M. (2005, Dec). Segmentation of skull and scalp in 3-d human mri using mathematical morphology. Hum Brain Mapp, 26(4), 273–285.
  • Dux, P. E., & Marois, R. (2009, Nov). The attentional blink: a review of data and theory. Atten Percept Psychophys, 71(8), 1683–1700.
  • Eijsden, P. van, Hyder, F., Rothman, D. L., & Shulman, R. G. (2009, May). Neurophysiology of functional imaging. Neuroimage, 45(4), 1047–1054.
  • Ermer, J. J., Mosher, J. C., Baillet, S., & Leah, R. M. (2001, Apr). Rapidly recomputable EEG forward models for realistic head shapes. Phys Med Biol, 46(4), 1265–1281.
  • Feynman, R. P. (1964). The Feynman lectures on physics (volume 2). Reading, Massachusetts: Addison-Wesley.
  • Fischl, B., Sereno, M. I., & Dale, A. M. (1999, Feb). Cortical surface-based analysis. ii: Inflation, flattening, and a surface-based coordinate system. Neuroimage, 9(2), 195–207.
  • Fox, M. D., & Raichle, M. E. (2007, Sep). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci, 8(9), 700–711.
  • Friston, K. (2009, Feb). Causal modelling and brain connectivity in functional magnetic resonance imaging. PLoS Biol, 7(2), e33.
  • Friston, K., Ashburner, J., Kiebel, S., Nichols, T., & Penny, W. (2007). Statistical parametric mapping: The analysis of functional brain images (K. Friston, J. Ashburner, S. Kiebel, T. Nichols, & W. Penny, Eds.). Academic Press.
  • Friston, K. J. (2009, Oct). Modalities, modes, and models in functional neuroimaging. Science, 326(5951), 399–403.
  • Fuchs, M., Drenckhahn, R., Wischmann, H. A., & Wagner, M. (1998, Aug). An improved boundary element method for realistic volume-conductor modeling. IEEE Trans Biomed Eng, 45(8), 980–997.
  • Fuchs, M., Wagner, M., Köhler, T., & Wischmann, H. A. (1999, May). Linear and nonlinear current density reconstructions. J Clin Neurophysiol, 16(3), 267–295.
  • Geddes, L. A., & Baker, L. E. (1967, May). The specific resistance of biological material–a compendium of data for the biomedical engineer and physiologist. Med Biol Eng, 5(3), 271–293.
  • Geman, S., & Geman, D. (1984, Nov). Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images. IEEE Trans. Patt. Anal. Machine Intell., 6(6), 712–741.
  • George, N., & Conty, L. (2008, Jun). Facing the gaze of others. Neurophysiol Clin, 38(3), 197–207.
  • Geselowitz, D. B. (1964, Sep). Dipole theory in electrocardiography. Am J Cardiol, 14, 301–306.
  • Golub, C. F., G. H. and van Loan. (1996). Matrix computations (third ed.). Baltimore, MD: Johns Hopkins University Press.
  • Goncalves, S. I., Munck, J. C. de, Verbunt, J. P. A., Bijma, F., Heethaar, R. M., & Silva, F. L. da. (2003). In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the head. IEEE Transactions On Biomedical Engineering, 50(6), 754–767.
  • Gourévitch, B., Bouquin-Jeannès, R. L., & Faucon, G. (2006, Oct). Linear and nonlinear causality between signals: methods, examples and neurophysiological applications. Biol Cybern, 95(4), 349–369.
  • Gray, C. M., König, P., Engel, A. K., & Singer, W. (1989, Mar). Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus properties. Nature, 338(6213), 334–337.
  • Guilford, P., J., & Fruchter, B. (1978). Fundamental statistics in psychology and education (6th ed.). New York: McGraw-Hill. (HA 29.G9)
  • Hadamard, J. (1902). Sur les problemes aux derivees partielles et leur signification physique. Princeton University Bulletin, 49–52.
  • Hämäläinen, M., Hari, R., Ilmoniemi, R., Knuutila, J., & Lounasmaa, O. (1993). Magnetoencephalography: Theory, instrumentation and applications to the noninvasive study of human brain function. Rev. Mod. Phys., 65, 413–497.
  • Hamming, R. W. (1983). Digital filters.
  • Handy, T. C. (2004). Event-related potentials : A methods handbook (Bradford Books). The MIT Press. Hardcover.
  • Haueisen, J., Tuch, D. S., Ramon, C., Schimpf, P. H., Wedeen, V. J., George, J. S., . (2002, Jan). The influence of brain tissue anisotropy on human EEG and MEG. Neuroimage, 15(1), 159–166.
  • Haykin, S. (1996). Adaptive filter theory. London: Prentice-Hall.
  • Helenius, P., Parviainen, T., Paetau, R., & Salmelin, R. (2009, Jul). Neural processing of spoken words in specific language impairment and dyslexia. Brain, 132(Pt 7), 1918–1927.
  • Hillebrand, A., & Barnes, G. R. (2002, Jul). A quantitative assessment of the sensitivity of whole-head MEG to activity in the adult human cortex. NeuroImage, 16, 638-50.
  • Hillebrand, A., Singh, K. D., Holliday, I. E., Furlong, P. L., & Barnes, G. R. (2005, Jun). A new approach to neuroimaging with magnetoencephalography. Hum Brain Mapp, 25(2), 199–211.
  • Holmes, A., Mogg, K., Garcia, L. M., & Bradley, B. P. (2010, Feb). Neural activity associated with attention orienting triggered by gaze cues: A study of lateralized ERPs. Soc Neurosci, 1–11.
  • Honey, C. J., Kötter, R., Breakspear, M., & Sporns, O. (2007, Jun). Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci U S A, 104(24), 10240–10245.
  • Hoogenboom, N., Schoffelen, JM., Oostenveld, R., Parkes, L. M., & Fries, P. (2006, Feb). Localizing human visual gamma-band activity in frequency, time and space. Neuroimage, 29(3), 764–773.
  • Huang, M. X., Mosher, J. C., & Leahy, R. M. (1999, Feb). A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG. Phys Med Biol, 44(2), 423–440.
  • Izhikevich, E. M., & Edelman, G. M. (2008, Mar). Large-scale model of mammalian thalamocortical systems. Proc Natl Acad Sci U S A, 105(9), 3593–3598.
  • Jerbi, K., Baillet, S., Mosher, J. C., Nolte, G., Garnero, L., & Leahy, R. M. (2004, Jun). Localization of realistic cortical activity in MEG using current multipoles. Neuroimage, 22(2), 779–793.
  • Jerbi, K., Lachaux, J., NDiaye, K., Pantazis, D., Leahy, R., Garnero, L., . (2007, May). Coherent neural representation of hand speed in humans revealed by MEG imaging. Proc Natl Acad Sci U S A, 104(18), 7676–7681.
  • Jerbi, K., Mosher, J. C., Baillet, S., & Leahy, R. M. (2002, Feb). On MEG forward modelling using multipolar expansions. Phys Med Biol, 47(4), 523–555.
  • Johansen-Berg, H., & Rushworth, M. F. S. (2009). Using diffusion imaging to study human connectional anatomy. Annu Rev Neurosci, 32, 75–94.
  • Karp, P. J., Katila, T. E., Saarinen, M., Siltanen, P., & Varpula, T. T. (1980, Jul). The normal human magnetocardiogram. ii. a multipole analysis. Circ Res, 47(1), 117–130.
  • Kay, S. M. (1988). Modern spectral estimation. Prentice Hall.
  • Kay, S. M. (1993). Fundamentals of statistical signal processing: Estimation theory. Englewood Cliffs, NJ: Prentice Hall.
  • Kiebel, S. J., Garrido, M. I., Moran, R. J., & Friston, K. J. (2008, Jun). Dynamic causal modelling for EEG and MEG. Cogn Neurodyn, 2(2), 121–136.
  • Kiebel, S. J., Tallon-Baudry, C., & Friston, K. J. (2005, Nov). Parametric analysis of oscillatory activity as measured with EEG/MEG. Hum Brain Mapp, 26(3), 170–177.
  • Koch, S. P., Werner, P., Steinbrink, J., Fries, P., & Obrig, H. (2009, Nov). Stimulus-induced and state-dependent sustained gamma activity is tightly coupled to the hemodynamic response in humans. J Neurosci, 29(44), 13962–13970.
  • Koskinen, M., & Vartiainen, N. (2009, May). Removal of imaging artifacts in EEG during simultaneous EEG/fMRI recording: reconstruction of a high-precision artifact template. Neuroimage, 46(1), 160–167.
  • Kranczioch, C., Debener, S., Herrmann, C. S., & Engel, A. K. (2006, Feb). EEG gamma-band activity in rapid serial visual presentation. Exp Brain Res, 169(2), 246–254.
  • Kybic, J., Clerc, M., Faugeras, O., Keriven, R., & Papadopoulo, T. (2005, Oct). Fast multipole acceleration of the MEG/EEG boundary element method. Phys Med Biol, 50(19), 4695–4710.
  • Lachaux, JP., Fonlupt, P., Kahane, P., Minotti, L., Hoffmann, D., Bertrand, O., . (2007, Dec). Relationship between task-related gamma oscillations and bold signal: new insights from combined fMRI and intracranial EEG. Hum Brain Mapp, 28(12), 1368–1375.
  • Lachaux, J. P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999). Measuring phase synchrony in brain signals. Hum Brain Mapp, 8(4), 194–208.
  • Laufs, H., Daunizeau, J., Carmichael, D. W., & Kleinschmidt, A. (2008, Apr). Recent advances in recording electrophysiological data simultaneously with magnetic resonance imaging. Neuroimage, 40(2), 515–528.
  • Leahy, R. M., Mosher, J. C., Spencer, M. E., Huang, M. X., & Lewine, J. D. (1998, Aug). A study of dipole localization accuracy for MEG and EEG using a human skull phantom. Electroencephalogr Clin Neurophysiol, 107(2), 159–173.
  • Lehmann, D., Darcey, T. M., & Skrandies, W. (1982). Intracerebral and scalp fields evoked by hemiretinal checkerboard reversal, and modeling of their dipole generators. Adv Neurol, 32, 41–48.
  • Lin, F. H., Belliveau, J. W., Dale, A. M., & Hamalainen, M. S. (2006). Distributed current estimates using cortical orientation constraints. Human brain mapping, 27(1), 1–13.
  • Lin, FH., Hara, K., Solo, V., Vangel, M., Belliveau, J. W., Stufflebeam, S. M., . (2009, Jun). Dynamic Granger-Geweke causality modeling with application to interictal spike propagation. Hum Brain Mapp, 30(6), 1877–1886.
  • Lin, FH., Witzel, T., Ahlfors, S. P., Stufflebeam, S. M., Belliveau, J. W., & Hämäläinen, M. S. (2006, May). Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates. Neuroimage, 31(1), 160–171.
  • Logothetis, N. K., & Pfeuffer, J. (2004, Dec). On the nature of the bold fMRI contrast mechanism. Magn Reson Imaging, 22(10), 1517–1531.
  • Logothetis, N. K., & Wandell, B. A. (2004). Interpreting the bold signal. Annu Rev Physiol, 66, 735–769.
  • Makeig, S., Westerfield, M., Jung, T. P., Enghoff, S., Townsend, J., Courchesne, E., . (2002, Jan). Dynamic brain sources of visual evoked responses. Science, 295(5555), 690–694.
  • Mallat, S. (1998). A wavelet tour of signal processing. San Diego: Academic Press.
  • Mangin, JF., Rivière, D., Coulon, O., Poupon, C., Cachia, A., Cointepas, Y., . (2004, Feb). Coordinate-based versus structural approaches to brain image analysis. Artif Intell Med, 30(2), 177–197.
  • Mantini, D., Perrucci, M. G., Gratta, C. D., Romani, G. L., & Corbetta, M. (2007, Aug). Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci U S A, 104(32), 13170–13175.
  • Marin, G., Guerin, C., Baillet, S., Garnero, L., & Meunier, G. (1998). Influence of skull anisotropy for the forward and inverse problem in EEG: simulation studies using FEM on realistic head models. Hum Brain Mapp, 6(4), 250–269.
  • Marzetti, L., Gratta, C. D., & Nolte, G. (2008, Aug). Understanding brain connectivity from EEG data by identifying systems composed of interacting sources. Neuroimage, 42(1), 87–98.
  • Mattout, J., Phillips, C., Penny, W. D., Rugg, M. D., & Friston, K. J. (2006, Apr). MEG source localization under multiple constraints: an extended bayesian framework. Neuroimage, 30(3), 753–767.
  • Mazaheri, A., & Jensen, O. (2008, Jul). Asymmetric amplitude modulations of brain oscillations generate slow evoked responses. J Neurosci, 28(31), 7781–7787.
  • McIntosh, A. R., & Lobaugh, N. J. (2004). Partial least squares analysis of neuroimaging data: applications and advances. Neuroimage, 23 Suppl 1, S250–S263.
  • Melloni, L., Schwiedrzik, C. M., Wibral, M., Rodriguez, E., & Singer, W. (2009, Apr). Response to: Yuval-Greenberg et al., "transient induced gamma-band response in EEG as a manifestation of miniature saccades." neuron 58, 429-441. Neuron, 62(1), 8–10; author reply 10-12.
  • Meunier, S., Lehéricy, S., Garnero, L., & Vidailhet, M. (2003, Feb). Dystonia: lessons from brain mapping. Neuroscientist, 9(1), 76–81.
  • Mnatsakanian, E. V., & Tarkka, I. M. (2002). Task-specific expectation is revealed in scalp-recorded slow potentials. Brain Topogr, 15(2), 87–94.
  • Mosher, J., Baillet, S., & Leahy, R. (2003). Equivalence of linear approaches in bioelectromagnetic inverse solutions. In Proceedings of the 2003 IEEE workshop on statistical signal processing (pp. 294–7). San Antonio: .
  • Mosher, J. C., Baillet, S., & Leahy, R. M. (1999, May). EEG source localization and imaging using multiple signal classification approaches. J Clin Neurophysiol, 16(3), 225–238.
  • Mosher, J. C., Spencer, M. E., Leahy, R. M., & Lewis, P. S. (1993, May). Error bounds for EEG and MEG dipole source localization. Electroencephalogr Clin Neurophysiol, 86(5), 303–321.
  • Mukesh, T. M. S., Jaganathan, V., & Reddy, M. R. (2006, Jan). A novel multiple frequency stimulation method for steady state VEP based brain computer interfaces. Physiol Meas, 27(1), 61–71.
  • Murakami, S., & Okada, Y. (2006, Sep). Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals. J Physiol, 575(Pt 3), 925–936.
  • Nichols, T. E., & Holmes, A. P. (2002, Jan). Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp, 15(1), 1–25.
  • Niedermeyer, E., & Silva, F. L. da. (2004). Electroencephalography: Basic principles, clinical applications, and related field (5th ed.). Lippincott Williams & Wilkins.
  • Niessing, J., Ebisch, B., Schmidt, K. E., Niessing, M., Singer, W., & Galuske, R. A. W. (2005, Aug). Hemodynamic signals correlate tightly with synchronized gamma oscillations. Science, 309(5736), 948–951.
  • Nolte, G., & Curio, G. (1999, Apr). The effect of artifact rejection by signal-space projection on source localization accuracy in MEG measurements. IEEE Trans Biomed Eng, 46(4), 400–408.
  • Nolte, G., & Hämäläinen, M. S. (2001, Nov). Partial signal space projection for artefact removal in MEG measurements: a theoretical analysis. Phys Med Biol, 46(11), 2873–2887.
  • Nunez, P. L., Srinivasan, R., Westdorp, A. F., Wijesinghe, R. S., Tucker, D. M., Silberstein, R. B. (1997, Nov). EEG coherency. i: Statistics, reference electrode, volume conduction, laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalogr Clin Neurophysiol, 103(5), 499–515.
  • Okada, Y. C., Tanenbaum, R., Williamson, S. J., & Kaufman, L. (1984). Somatotopic organization of the human somatosensory cortex revealed by neuromagnetic measurements. Exp Brain Res, 56(2), 197–205.
  • Oppenheim, A. V., Schafer, R. W., & Buck, J. R. (1999). Discrete-time signal processing (2nd ed.). Prentice-Hall, Inc.
  • Ossadtchi, A., Baillet, S., Mosher, J. C., Thyerlei, D., Sutherling, W., & Leahy, R. M. (2004, Mar). Automated interictal spike detection and source localization in magnetoencephalography using independent components analysis and spatio-temporal clustering. Clin Neurophysiol, 115(3), 508–522.
  • Pannetier-Lecoeur, M., Fermon, C., Dyvorne, H., Jacquinot, J., Polovy, H., & Walliang, A. (2009). Magnetoresistive-superconducting mixed sensors for biomagnetic applications. Journal of Magnetism and Magnetic Materials, In Press, Corrected Proof, -.
  • Pantazis, D., Nichols, T. E., Baillet, S., & Leahy, R. M. (2005, Apr). A comparison of random field theory and permutation methods for the statistical analysis of MEG data. Neuroimage, 25(2), 383–394.
  • Parkkonen, L., Andersson, J., Hämäläinen, M., & Hari, R. (2008, Dec). Early visual brain areas reflect the percept of an ambiguous scene. Proc Natl Acad Sci U S A, 105(51), 20500–20504.
  • Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994, Oct). Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int J Psychophysiol, 18(1), 49–65.
  • Perrin, F., Pernier, J., Bertrand, O., Giard, M. H., & Echallier, J. F. (1987, Jan). Mapping of scalp potentials by surface spline interpolation. Electroencephalogr Clin Neurophysiol, 66(1), 75–81.
  • Pfurtscheller, G., & Silva, F. H. L. da. (1999, Nov). Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol, 110(11), 1842–1857.
  • Pérez, J. J., Guijarro, E., & Barcia, J. A. (2005, Sep). Suppression of the cardiac electric field artifact from the heart action evoked potential. Med Biol Eng Comput, 43(5), 572–581.
  • Rodriguez, E., George, N., Lachaux, J. P., Martinerie, J., Renault, B., & Varela, F. J. (1999, Feb). Perception’s shadow: long-distance synchronization of human brain activity. Nature, 397(6718), 430–433.
  • Rudrauf, D., Lachaux, JP., Damasio, A., Baillet, S., Hugueville, L., Martinerie, J., . (2009, Apr). Enter feelings: somatosensory responses following early stages of visual induction of emotion. Int J Psychophysiol, 72(1), 13–23.
  • Salmelin, R., & Baillet, S. (2009, Apr). Electromagnetic brain imaging. Hum Brain Mapp, 30(6), 1753–1757.
  • Sarvas, J. (1987, Jan). Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem. Phys Med Biol, 32(1), 11–22.
  • Savukov, I. M., & Romalis, M. V. (2005, Apr). Nmr detection with an atomic magnetometer. Phys Rev Lett, 94(12), 123001.
  • Scherg, M., & Cramon, D. von. (1985, Jan). Two bilateral sources of the late aep as identified by a spatio-temporal dipole model. Electroencephalogr Clin Neurophysiol, 62(1), 32–44.
  • Schmidt, R. O. (1986, Mar). Multiple emitter location and signal parameter estimation. IEEE Transactions on Antennas and Propagation, 34, 276-280.
  • Schwartz, D., Poiseau, E., Lemoine, D., & Barillot, C. a. (1996). Registration of MEG/EEG data with MRI: Methodology and precision issues. Brain Topography, 9, 101–116.
  • Sergent, C., Baillet, S., & Dehaene, S. (2005, Oct). Timing of the brain events underlying access to consciousness during the attentional blink. Nature Neuroscience, 8(10), 1391–1400.
  • Sergent, C., & Dehaene, S. (2004). Neural processes underlying conscious perception: experimental findings and a global neuronal workspace framework. J Physiol Paris, 98(4-6), 374–384.
  • Silva, F. L. da. (1991, Aug). Neural mechanisms underlying brain waves: from neural membranes to networks. Electroencephalogr Clin Neurophysiol, 79(2), 81–93.
  • Spencer, M., Leahy, R., Mosher, J., & Lewis, P. (1992). Adaptive filters for monitoring localized brain activity from surface potential time series. In IEEE (Ed.), Conference record of the twenty-sixth Asilomar conference on signals, systems and computers (Vol. 1, pp. 156 – 161).
  • Sporns, O., Tononi, G., & Kötter, R. (2005, Sep). The human connectome: a structural description of the human brain. PLoS Comput Biol, 1(4), e42.
  • Stephan, K. E., Penny, W. D., Daunizeau, J., Moran, R. J., & Friston, K. J. (2009, Jul). Bayesian model selection for group studies. Neuroimage, 46(4), 1004–1017.
  • Tallon-Baudry, C. (2009). The roles of gamma-band oscillatory synchrony in human visual cognition. Front Biosci, 14, 321–332.
  • Tallon-Baudry, C., Bertrand, O., Delpuech, C., & Permier, J. (1997, Jan). Oscillatory gamma-band (30-70 hz) activity induced by a visual search task in humans. J Neurosci, 17(2), 722–734.
  • Tarantola, A. (2004). Inverse problem theory and methods for model parameter estimation. Philadelphia, USA: SIAM Books.
  • Tarantola, A. (2006, Aug). Popper, bayes and the inverse problem. Nat Phys, 2(8), 492–494.
  • Taulu, S., Kajola, M., & Simola, J. (2004). Suppression of interference and artifacts by the signal space separation method. Brain Topogr, 16(4), 269–275.
  • Tesche, C. D. (1996). MEG imaging of neuronal population dynamics in the human thalamus. Electroencephalogr Clin Neurophysiol Suppl, 47, 81–90.
  • Tikhonov, A., & Arsenin, V. (1977). Solutions of ill-posed problems. Washington, D.C: Winston & sons.
  • Tuch, D. S., Wedeen, V. J., Dale, A. M., George, J. S., & Belliveau, J. W. (2001, Sep). Conductivity tensor mapping of the human brain using diffusion tensor mri. Proc Natl Acad Sci U S A, 98(20), 11697–11701.
  • Varela, F., Lachaux, J. P., Rodriguez, E., & Martinerie, J. (2001, Apr). The brainweb: Phase synchronization and large-scale integration. Nature Reviews Neuroscience, 2(4), 229–239.
  • Veen, B. D. van, & Buckley, K. M. (1988, Apr). Beamforming: a versatile approach to spatial filtering. ASSP Magazine, IEEE [see also IEEE Signal Processing Magazine], 5, 4–24.
  • Vialatte, FB., Maurice, M., Dauwels, J., & Cichocki, A. (2009, Dec). Steady-state visually evoked potentials: Focus on essential paradigms and future perspectives. Prog Neurobiol.
  • Vogels, T. P., Rajan, K., & Abbott, L. F. (2005). Neural network dynamics. Annu Rev Neurosci, 28, 357–376.
  • Vuilleumier, P., & Pourtois, G. (2007, Jan). Distributed and interactive brain mechanisms during emotion face perception: evidence from functional neuroimaging. Neuropsychologia, 45(1), 174–194.
  • Waldorp, L. J., Huizenga, H. M., Nehorai, A., Grasman, R. P. P. P., & Molenaar, P. C. M. (2005, Mar). Model selection in spatio-temporal electromagnetic source analysis. IEEE Trans Biomed Eng, 52(3), 414–420.
  • Wang, J. Z., Williamson, S. J., & Kaufman, L. (1992, Jul). Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation. IEEE Trans Biomed Eng, 39(7), 665–675.
  • Wax, M., & Anu, Y. (1996). Performance analysis of the minimum variance beamformer. IEEE Transactions on Signal Processing, 44, 928–937.
  • Wehner, D. T., Hämäläinen, M. S., Mody, M., & Ahlfors, S. P. (2008, Apr). Head movements of children in MEG: quantification, effects on source estimation, and compensation. Neuroimage, 40(2), 541–550.
  • Werner, G. (2007). Brain dynamics across levels of organization. J Physiol Paris, 101(4-6), 273–279.
  • Wood, C. C., Cohen, D., Cuffin, B. N., Yarita, M., & Allison, T. (1985, Mar). Electrical sources in human somatosensory cortex: identification by combined magnetic and potential recordings. Science, 227(4690), 1051–1053.
  • Yuval-Greenberg, S., & Deouell, L. Y. (2009, Jun). The broadband-transient induced gamma-band response in scalp EEG reflects the execution of saccades. Brain Topogr, 22(1), 3–6.
  • Zimmerman, J. T., Reite, M., & Zimmerman, J. E. (1981, Aug). Magnetic auditory evoked fields: dipole orientation. Electroencephalogr Clin Neurophysiol, 52(2), 151–156.

Froedtert & The Medical College of Wisconsin MEG Contact Information

Research investigators and clinical physicians are encouraged to contact us for further information on how to access our MEG Program and services.

Jeffrey Stout, PhD: Technical Manager
Send an email | (414) 805-1174 | (414) 805-1103 (fax)

Jean Roccapalumba, CTRS, MBA: Program Manager
Send an email | (414) 805-9906 | (414) 259-1159 (fax)

Mailing Address:
MEG Program
Department of Neurology
Medical College of Wisconsin
9200 W. Wisconsin Avenue
Milwaukee, WI 53226

MEG Program Site Map

If you are a physician and would like to inquire about or order a MEG study for your patients, please visit Froedtert Hospital MEG web pages for basic information about the procedure and/or contact Linda Allen, RN BSN, our Epilepsy Program Coordinator at (414) 805-3641 to refer your patient to our Program.

If you are a patient who is about to undergo an MEG procedure, please also visit Froedtert Hospital MEG web pages for useful information regarding the MEG routine.