Brain connectivity associated with different damages of the visual system
Type of publication: | Misc |
Citation: | moewes_brain_2011 |
Year: | 2011 |
Month: | November~11 |
Howpublished: | abstract |
Note: | NIPS 2011 Satellite Meeting on Causal Graphs: Linking Brain Structure to Function |
URL: | http://users.ugent.be/~dmarina... |
Abstract: | In this work we analyze electroencephalographic (EEG) data of patients having different visual field defects. As it has been shown in the literature, a damaged human connectome shows significant differences from an intact one regarding functional connectivity. Due to this we assume that there are significant correlations of both certain clinical parameters describing visual field defects and measures describing functional connectivity graphs. To answer this question we used EEG data from 43 patients from three different studies. Functional brain connectivities were computed using, e.g. synchronization likelihood, in the typical frequency bands. Graph measures like average path length, clustering coefficient, network density were tested for significant correlations against clinical parameters. We found out that different clinical parameters significantly correlate with typical graph measures of small-world networks. This effect was prominent in all examined frequency bands to different degrees. We conclude that brain connectivity from EEG significantly. correlates with damages of the visual system. |
Keywords: | EEG, functional connectivity, Network Analysis, Static Graphs |
Authors | |
Added by: | [CM] |
Total mark: | 0 |
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