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Dynamic filtering of static dipoles in magnetoencephalography
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Sorrentino, Alberto, Johansen, Adam M., Aston, John A. D., Nichols, Thomas E. and Kendall, W. S. (2013) Dynamic filtering of static dipoles in magnetoencephalography. Annals of Applied Statistics, Volume 7 (Number 2). pp. 955-988. doi:10.1214/12-AOAS611
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Official URL: http://dx.doi.org/10.1214/12-AOAS611
Abstract
We consider the problem of estimating neural activity from measurements
of the magnetic fields recorded by magnetoencephalography. We exploit
the temporal structure of the problem and model the neural current as a
collection of evolving current dipoles, which appear and disappear, but whose
locations are constant throughout their lifetime. This fully reflects the physiological
interpretation of the model.
In order to conduct inference under this proposed model, it was necessary
to develop an algorithm based around state-of-the-art sequential Monte
Carlo methods employing carefully designed importance distributions. Previous
work employed a bootstrap filter and an artificial dynamic structure
where dipoles performed a random walk in space, yielding nonphysical artefacts
in the reconstructions; such artefacts are not observed when using the
proposed model. The algorithm is validated with simulated data, in which
it provided an average localisation error which is approximately half that of
the bootstrap filter. An application to complex real data derived from a somatosensory
experiment is presented. Assessment of model fit via marginal
likelihood showed a clear preference for the proposed model and the associated
reconstructions show better localisation.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
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| Divisions: | Faculty of Science > Statistics Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) |
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| Library of Congress Subject Headings (LCSH): | Magnetoencephalography, Neurons, Magnetic dipoles , Monte Carlo method, Mathematical physics | ||||
| Journal or Publication Title: | Annals of Applied Statistics | ||||
| Publisher: | Insitute of Mathematical Statistics | ||||
| ISSN: | 1932-6157 | ||||
| Official Date: | June 2013 | ||||
| Dates: |
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| Date of first compliant deposit: | 24 December 2015 | ||||
| Volume: | Volume 7 | ||||
| Number: | Number 2 | ||||
| Number of Pages: | 34 | ||||
| Page Range: | pp. 955-988 | ||||
| DOI: | 10.1214/12-AOAS611 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Copyright Holders: | IMS | ||||
| Funder: | Marie Curie Intra-European Fellowship (IEF), Seventh Framework Programme (European Commission) (FP7), Engineering and Physical Sciences Research Council (EPSRC), Higher Education Funding Council for England (HEFCE), Medical Research Council (Great Britain) (MRC) | ||||
| Grant number: | EP/I017984/1, EP/H016856/1 (EPSRC) ; G0900908 (MRC) | ||||
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