Abstract
Although equivalent current dipoles (ECDs) are point source representations of the underlying neuronal currents they are in reality approximations to the true focus or foci of activity. The actual neuronal distribution is not point-source in nature, and may be distributed over a significant portion of the cortex. If an equivalent current dipole is a successful model for this distribution, either the neuronal current is localised or the spatial distribution is such that it is amenable to representation as an ECD. However, noise of all kinds will lead to an indeterminacy in the localisation of the ECD. Noise in the case of Magnetoencephalography (MEG) or Electroencephalography (EEG) refers to brain noise, signal noise, and experimental errors such as mis-registration of the detectors with the head. The estimation and display of positional uncertainties due to noise is the subject of this paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Mosher, J.C., Lewis, P.S., and Leaky, R.M. Multiple dipole modelling and localization from spatio-temporal MEG data. IEEE Trans Biomed Eng 1992; 39: 541–557.
Medvick, P., Lewis, P.S., Aine, C.J., and Flynn, E.R.. Monte Carlo analysis of localization errors in magnetoencephalography. In: Williamson, S.J., Hoke, M., Stroink, and G., Kotani, M. Advances in Biomagnetism, New York, Plenum Press, 1989.
Regan, D., Human brain electrophysiology. evoked potentials and evoked magnetic fields in science and medicine, New York, Elsevier, 1989.
Press, W.H., Flannery, B.P., Teukolsky, S.A., and Vetterling, W.T. Numerical recipes in C, Cambridge, Cambridge University Press, 1989.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media New York
About this paper
Cite this paper
Singh, K.D., Harding, G.F.A. (2000). Monte-Carlo Analysis and Confidence Region Ellipsoids for Equivalent Current Dipole Solutions to EEG/MEG data. In: Aine, C.J., Stroink, G., Wood, C.C., Okada, Y., Swithenby, S.J. (eds) Biomag 96. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-1260-7_84
Download citation
DOI: https://doi.org/10.1007/978-1-4612-1260-7_84
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-7066-9
Online ISBN: 978-1-4612-1260-7
eBook Packages: Springer Book Archive