Model-based estimation of intra-cortical connectivity using electrophysiological data

P Aram; DR Freestone; MJ Cook; V Kadirkamanathan; DB Grayden

Journal article

Model-based estimation of intra-cortical connectivity using electrophysiological data

P Aram, DR Freestone, MJ Cook, V Kadirkamanathan, DB Grayden

Neuroimage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2015

DOI: 10.1016/j.neuroimage.2015.06.048

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Abstract

This paper provides a new method for model-based estimation of intra-cortical connectivity from electrophysiological measurements. A novel closed-form solution for the connectivity function of the Amari neural field equations is derived as a function of electrophysiological observations. The resultant intra-cortical connectivity estimate is driven from experimental data, but constrained by the mesoscopic neurodynamics that are encoded in the computational model. A demonstration is provided to show how the method can be used to image physiological mechanisms that govern cortical dynamics, which are normally hidden in clinical data from epilepsy patients. Accurate estimation performance is dem..

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University of Melbourne Researchers

Dean Freestone Author Medicine - St Vincent's Hospital

Mark Cook Author

David Grayden Author

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Grants

Awarded by Engineering and Physical Sciences Research Council

Funding Acknowledgements

Prof. Kadirkamanathan acknowledges support of the EPSRC through the Platform Grant in System Identification and Information Processing for Complex Systems (EP/H00453X/1). This research was also supported by the Australian Research Council (Linkage Project LP100200571). The authors would also like to thank Mike Dewar, Kenneth Scerri, Alan Lai, Dragan Nesic, Simon Vogrin, Michael Wenzel and Kelvin Layton for their comments and feedback that assisted in preparing the manuscript. Dr. Freestone acknowledges support of the Australian-American Fulbright Commission and support from Prof. Liam Paninski at Columbia University.