DECONVOLUTION OF NEURONAL SIGNAL FROM HEMODYNAMIC RESPONSE

Warning

This publication doesn't include Faculty of Sports Studies. It includes Central European Institute of Technology. Official publication website can be found on muni.cz.
Authors

HAVLÍČEK Martin JAN Jiri BRÁZDIL Milan CALHOUN Vince D

Year of publication 2011
Type Article in Proceedings
Conference 2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
MU Faculty or unit

Central European Institute of Technology

Citation
Field Medical equipment
Keywords cubature; Kalman; fMRI; deconvolution; smoother
Description In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response in fMRI data. Our approach, based on the Rauch-Tung-Striebel smoother for square-root cubature Kalman filter, enables us to accurately infer the hidden states, parameters, and the input of the dynamic system. Using a series of simulations we show in this paper that we are able to move beyond the limitation of a poorly sampled observation signal and estimate the true structure of underlying neuronal signal with significantly improved temporal resolution.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info