Journal article

Nonlinear estimation of the BOLD signal

LA Johnston, E Duff, I Mareels, GF Egan

Neuroimage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2008

Abstract

Signal variations in functional Magnetic Resonance Imaging experiments essentially reflect the vascular system response to increased demand for oxygen caused by neuronal activity, termed the blood oxygenation level dependent (BOLD) effect. The most comprehensive model to date of the BOLD signal is formulated as a mixed continuous-discrete-time system of nonlinear stochastic differential equations. Previous approaches to the analysis of this system have been based on linearised approximations of the dynamics, which are limited in their ability to capture the inherent nonlinearities in the physiological system. In this paper we present a nonlinear filtering method for simultaneous estimation o..

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University of Melbourne Researchers