Reconstructing MEG Sources with Unknown Correlations
Abstract
Existing source location and recovery algorithms used in magnetoen- cephalographic imaging generally assume that the source activity at dif- ferent brain locations is independent or that the correlation structure is known. However, electrophysiological recordings of local field poten- tials show strong correlations in aggregate activity over significant dis- tances. Indeed, it seems very likely that stimulus-evoked activity would follow strongly correlated time-courses in different brain areas. Here, we present, and validate through simulations, a new approach to source reconstruction in which the correlation between sources is modelled and estimated explicitly by variational Bayesian methods, facilitating accu- rate recovery of source locations and the time-courses of their activation.
Cite
Text
Sahani and Nagarajan. "Reconstructing MEG Sources with Unknown Correlations." Neural Information Processing Systems, 2003.Markdown
[Sahani and Nagarajan. "Reconstructing MEG Sources with Unknown Correlations." Neural Information Processing Systems, 2003.](https://mlanthology.org/neurips/2003/sahani2003neurips-reconstructing/)BibTeX
@inproceedings{sahani2003neurips-reconstructing,
title = {{Reconstructing MEG Sources with Unknown Correlations}},
author = {Sahani, Maneesh and Nagarajan, Srikantan S.},
booktitle = {Neural Information Processing Systems},
year = {2003},
pages = {693-700},
url = {https://mlanthology.org/neurips/2003/sahani2003neurips-reconstructing/}
}