Skip to main content

Magnetoencephalography

  • Chapter
Brain Mapping

Abstract

A well-documented and thoroughly-discussed limitation of hemodynamic and metabolic neuroimaging techniques is their lack of temporal resolution. This basic limitation has become salient with the emergence of new questions in neuroscience to investigate the brain as an ensemble of complex networks that form, reshape, and flush information dynamically [41,42].

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 149.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 279.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Astolfi L, Cincotti F, Babiloni C, Carducci F, Basilisco A, Rossini PM, Salinari S, Mattia D, Cerutti S, Dayan DB, Lei Ding, Ying Ni, Bin He, Babiloni F (2005) 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: 757–768

    Article  PubMed  Google Scholar 

  2. Attal Y, Bhattacharjee M, Yelnik J, Cottereau B, Lefèvre J, Okada Y, Bardinet E, Chupin M, Baillet S (2009) Modelling and detecting deep brain activity with MEG and EEG. IRBM Ing Rech Biomed 30: 133–138

    Google Scholar 

  3. Baillet S, Mosher J, Leahy R (2001) Electromagnetic brain mapping. IEEE Signal Process Mag 18(6): 14–30

    Article  Google Scholar 

  4. Bassett DS, Bullmore ET (2009) Human brain networks in health and disease. Curr Opin Neurol 22: 340–347

    Article  PubMed  Google Scholar 

  5. Cimatti Z, Schwartz DP, Bourdain F, Meunier S, Bleton JP., Vidailhet M, Renault B, Garnero L (2007) Timefrequency analysis reveals decreased high-frequency oscillations in writer’s cramp. Brain 130: 198–205

    Article  PubMed  Google Scholar 

  6. Darvas F, Pantazis D, Kucukaltun-Yildirim E, Leahy RM (2004) Mapping human brain function with MEG and EEG: methods and validation. Neuroimage 23(Suppl 1): S289–S299

    Article  PubMed  Google Scholar 

  7. Darvas F, Rautiainen M, Pantazis D, Baillet S, Benali H, Mosher JC, Garnero L, Leahy RM (2005) Investigations of dipole localization accuracy in MEG using the bootstrap. Neuroimage 25: 355–368

    Article  PubMed  CAS  Google Scholar 

  8. Daunizeau J, Mattout J, Clonda D, Goulard B, Benali H, Lina J-M (2006) Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models. IEEE Trans Biomed Eng 53: 503–516

    Article  PubMed  Google Scholar 

  9. Delorme A, Sejnowski T, Makeig S (2007) Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. Neuroimage 34: 1443–1449

    Article  PubMed  Google Scholar 

  10. Feynman RP, Leighton RB, Sands ML (1964) The Feynman lectures on physics, vol 2. Addison-Wesley, Reading, MA

    Google Scholar 

  11. Friston K, Ashburner J, Kiebel S, Nichols T, Penny W (eds) (2007) Statistical parametric mapping: the analysis of functional brain images. Academic Press, London

    Google Scholar 

  12. Fuchs M, Drenckhahn R, Wischmann H, Wagner M (1998) An improved boundary element method for realistic volume-conductor modeling. IEEE Trans Biomed Eng 45: 980–997

    Article  PubMed  CAS  Google Scholar 

  13. Gourévitch B, Le Bouquin Jeannès R, Faucon G (2006) Linear and nonlinear causality between signals: methods, examples and neurophysiological applications. Biol Cybern 95: 349–369

    Article  PubMed  Google Scholar 

  14. Hämäläinen M, Hari R, Ilmoniemi R, Knuutila J, Lounasmaa O (1993). Magnetoencephalography — theory, instrumentation and applications to noninvasive studies of the working human brain. Rev Mod Phys 65: 413–497

    Article  Google Scholar 

  15. Handy TC (ed) (2004) Event-related potentials: a methods handbook. MIT Press, Cambridge, MA

    Google Scholar 

  16. Helenius P, Parviainen T, Paetau R, Salmelin R (2009) Neural processing of spoken words in specific language impairment and dyslexia. Brain 132: 1918–1927

    Article  PubMed  Google Scholar 

  17. Hillebrand A, Barnes GR (2002) A quantitative assessment of the sensitivity of whole-head MEG to activity in the adult human cortex. Neuroimage 16: 638–650

    Article  PubMed  CAS  Google Scholar 

  18. Hillebrand A, Singh KD, Holliday IE, Furlong PL, Barnes GR (2005) A new approach to neuroimaging with magnetoencephalography. Hum Brain Mapp 25: 199–211

    Article  PubMed  Google Scholar 

  19. Honey CJ, Kötter R, Breakspear M, Sporns O (2007) Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci USA 1104: 10240–10245

    Article  PubMed  CAS  Google Scholar 

  20. Hoogenboom N, Schoffelen JM, Oostenveld R, Parkes LM, Fries P (2006) Localizing human visual gammaband activity in frequency, time and space. Neuroimage 29: 764–773

    Article  PubMed  Google Scholar 

  21. Jerbi K, Lachaux J, N’Diaye K, Pantazis D, Leahy R, Garnero L, Baillet S (2007) Coherent neural representation of hand speed in humans revealed by MEG imaging. Proc Natl Acad Sci USA 104: 7676–7681

    Article  PubMed  CAS  Google Scholar 

  22. Kiebel SJ, Tallon-Baudry C, Friston KJ (2005) Parametric analysis of oscillatory activity as measured with EEG/MEG. Hum Brain Mapp 26: 170–177

    Article  PubMed  Google Scholar 

  23. Kiebel SJ, Garrido MI, Moran RJ, Friston KJ (2008) Dynamic causal modelling for EEG and MEG. Cogn Neurodyn 2: 121–136

    Article  PubMed  Google Scholar 

  24. Leahy RM, Mosher JC, Spencer ME, Huang MX, Lewine JD (1998) A study of dipole localization accuracy for MEG and EEG using a human skull phantom. Electroencephalogr Clin Neurophysiol 107: 159–173

    Article  PubMed  CAS  Google Scholar 

  25. Lin FH, Belliveau JW, Dale AM, Hamalainen MS (2006) Distributed current estimates using cortical orientation constraints. Hum Brain Mapp 27: 1–13

    Article  PubMed  Google Scholar 

  26. Lin FH, Witzel T, Ahlfors SP, Stufflebeam SM, Belliveau JW, Häläinen MS (2006) Assessing and improving the spatial accuracy in MEG source localization by depth-weighted minimum-norm estimates. Neuroimage 31: 160–171

    Article  PubMed  Google Scholar 

  27. Lin FH, Hara K, Solo V, Vangel M, Belliveau JW, Stufflebeam SM, Häläinen MS (2009) Dynamic Granger-Geweke causality modeling with application to interictal spike propagation. Hum Brain Mapp 30: 1877–1886

    Article  PubMed  Google Scholar 

  28. Mallat S (1998) A wavelet tour of signal processing. Academic Press, San Diego, CA

    Google Scholar 

  29. Mosher JC, Spencer ME, Leahy RM, Lewis PS (1993) Error bounds for EEG and MEG dipole source localization. Electroencephalogr Clin Neurophysiol 86: 303–321

    Article  PubMed  CAS  Google Scholar 

  30. Mosher JC, Baillet S, Leahy RM (1999) EEG source localization and imaging using multiple signal classification approaches. J Clin Neurophysiol 16: 225–238

    Article  PubMed  CAS  Google Scholar 

  31. Murakami S, Okada Y (2006) Contributions of principal neocortical neurons to magnetoencephalography and electroencephalography signals. J Physiol 575: 925–936

    Article  PubMed  CAS  Google Scholar 

  32. Niessing J, Ebisch B, Schmidt KE, Niessing M, Singer W, Galuske RA (2005) Hemodynamic signals correlate tightly with synchronized gamma oscillations. Science 309: 948–951

    Article  PubMed  CAS  Google Scholar 

  33. Nunez PL, Srinivasan R, Westdorp AF, Wijesinghe RS, Tucker DM, Silberstein RB, Cadusch PJ (1997) EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalogr Clin Neurophysiol 103: 499–515

    Article  PubMed  CAS  Google Scholar 

  34. Pantazis D, Nichols TE, Baillet S, Leahy RM (2005) A comparison of random field theory and permutation methods for the statistical analysis of MEG data. Neuroimage 25: 383–394

    Article  PubMed  Google Scholar 

  35. Parkkonen L, Andersson J, Hämäläinen M, Hari R (2008) Early visual brain areas reflect the percept of an ambiguous scene. Proc Natl Acad Sci USA 105: 20500–20504

    Article  PubMed  CAS  Google Scholar 

  36. Sporns O, Tononi G, Kötter R (2005) The human connectome: a structural description of the human brain. PLoS Comput Biol 1: e42

    Article  PubMed  Google Scholar 

  37. Tallon-Baudry C (2009) The roles of gamma-band oscillatory synchrony in human visual cognition. Front Biosci 14: 321–332

    Article  PubMed  Google Scholar 

  38. Tarantola A (2004) Inverse problem theory and methods for model parameter estimation. Society for Industrial and Applied Mathematics, Philadelphia, PA

    Google Scholar 

  39. Taulu S, Kajola M, Simola J (2004) Suppression of interference and artifacts by the signal space separation method. Brain Topogr 16: 269–275

    Article  PubMed  Google Scholar 

  40. Tikhonov AN, Arsenin VYa (1977) Solutions of ill-posed problems. Winston, Washington, DC

    Google Scholar 

  41. Varela F, Lachaux JP, Rodriguez E, Martinerie J (2001) The brainweb: phase synchronization and large-scale integration. Nat Rev Neurosci 2: 229–239

    Article  PubMed  CAS  Google Scholar 

  42. Werner G (2007). Brain dynamics across levels of organization. J Physiol Paris 101: 273–279

    Article  PubMed  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag/Wien

About this chapter

Cite this chapter

Baillet, S. (2011). Magnetoencephalography. In: Duffau, H. (eds) Brain Mapping. Springer, Vienna. https://doi.org/10.1007/978-3-7091-0723-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-0723-2_6

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-7091-0722-5

  • Online ISBN: 978-3-7091-0723-2

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics