Rangaprakash, D and Hu, Xiaoping and Deshpande, Gopikrishna (2013) Phase synchronization in brain networks derived from correlation between probabilities of recurrences in functional MRI data. In: International Journal of Neural Systems, 23 (2). p. 1350003.
Full text not available from this repository. (Request a copy)Abstract
It is increasingly being recognized that resting state brain connectivity derived from functional magnetic resonance imaging (fMRI) data is an important marker of brain function both in healthy and clinical populations. Though linear correlation has been extensively used to characterize brain connectivity, it is limited to detecting first order dependencies. In this study, we propose a framework where in phase synchronization (PS) between brain regions is characterized using a new metric ``correlation between probabilities of recurrence'' (CPR) and subsequent graph-theoretic analysis of the ensuing networks. We applied this method to resting state fMRI data obtained from human subjects with and without administration of propofol anesthetic. Our results showed decreased PS during anesthesia and a biologically more plausible community structure using CPR rather than linear correlation. We conclude that CPR provides an attractive nonparametric method for modeling interactions in brain networks as compared to standard correlation for obtaining physiologically meaningful insights about brain function.
| Item Type: | Journal Article |
|---|---|
| Publication: | International Journal of Neural Systems |
| Publisher: | World Scientific Publishing Company |
| Additional Information: | Copyright of this article belongs to World Scientific Publishing Company. |
| Keywords: | Phase Synchronization; Functional MRI; Brain Connectivity; Recurrence Plots; Graph Theory |
| Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
| Date Deposited: | 30 May 2013 11:26 |
| Last Modified: | 30 May 2013 11:26 |
| URI: | http://eprints.iisc.ac.in/id/eprint/46603 |
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