An approach for realistic source reconstruction incorporating anatomical priors
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1
University of Applied Sciences, Faculty of Electrical Engineering and Information Technology, HTWK Leipzig, Germany
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2
Max Planck Institute for Human Cognitive and Brain Sciences, Germany
In this work we propose a method called lineLORETA to estimate current densities on both the smooth brain envelop and the convoluted cortical surface from EEG using individual anatomical information. lineLORETA incorporates anatomical prior knowledge, e. g. borders between different functio-anatomical regions derived from segmentation, with the LORETA operator as proposed in [1]. This is done by modifying the direct neighbourhood relationship between nodes and thus selectively lifting the smoothness constraint. Within the LORETA framework, the smoothing operator needs to be inverted and therefore regularization is necessary. We found that the correct choice of this regularization parameter is crucial for the performance of both LORETA and lineLORETA. We propose an efficient method to determine this parameter, which works even for realistic cortical surfaces with about 250.000 vertices with reasonable computational costs. We will show with computer simulations that lineLORETA is effective in guiding the reconstruction of neural activity from EEG to be confined within certain regions of the cortex. We will discuss the differences between reconstructions on the convoluted cortex and on the brain envelop and propose alternatives to the LORETA smoothness operator.
References
1. T.R. Knösche, M. Gräser, A. Anwander. Prior Knowledge on Cortex Organization in the Reconstruction of Source Current Densities from EEG. Submitted to Human Brain Mapping
Conference:
Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010.
Presentation Type:
Poster Presentation
Topic:
MEG Modeling
Citation:
Fuchs
M,
Knösche
TR and
Maess
B
(2010). An approach for realistic source reconstruction incorporating anatomical priors.
Front. Neurosci.
Conference Abstract:
Biomag 2010 - 17th International Conference on Biomagnetism .
doi: 10.3389/conf.fnins.2010.06.00045
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Received:
19 Mar 2010;
Published Online:
19 Mar 2010.
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Correspondence:
Mirco Fuchs, University of Applied Sciences, Faculty of Electrical Engineering and Information Technology, HTWK Leipzig, Leipzig, Germany, fuchs@fbeit.htwk-leipzig.de