DECONVOLUTION OF NEURONAL SIGNAL FROM HEMODYNAMIC RESPONSE

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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:	The internal organisation and neurobiological mechanisms of functional CNS systems under normal and pathological conditions.