Separation of multiple evoked responses using differential amplitude and latency variability

Details Separation of multiple evoked responses using differential amplitude and latency variability Separation of multiple evoked responses using differential amplitude and latency variability

2002-04-29

arxiv.org/abs/physics/0204085v1

Proceedings of the Third International Workshop on Independent Component Analysis and Blind Signal Separation (ICA 2001), p. 4

Physics

Medical Physics

6 pages, 2 figures, presented at ICA 2001 Meeting, Dec 9-12, 2001, San Diego CA. (electronic proceedings file 100-knuth.pdf)

Scientific paper

In neuroelectrophysiology one records electric potentials or magnetic fields generated by ensembles of synchronously active neurons in response to externally presented stimuli. These evoked responses are often produced by multiple generators in the presence of ongoing background activity. While source localization techniques or current source density estimation are usually used to identify generators, application of blind source separation techniques to obtain independent components has become more popular. We approach this problem by applying the Bayesian methodology to a more physiologically-realistic source model. As it is generally accepted that single trials vary in amplitude and latency, we incorporate this variability into the model. Rather than making the unrealistic assumption that these cortical components are independent of one another, our algorithm utilizes the differential amplitude and latency variability of the evoked waveforms to identify the cortical components. The algorithm is applied to intracortically-recorded local field potentials in monkeys performing a visuomotor task.

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