Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering

Warning

This publication doesn't include Faculty of Economics and Administration. It includes Central European Institute of Technology. Official publication website can be found on muni.cz.

Authors	HAVLÍČEK Martin FRISTON Karl J. JAN Jiří BRÁZDIL Milan CALHOUN Vince D.
Year of publication	2011
Type	Article in Periodical
Magazine / Source	NeuroImage
MU Faculty or unit	Central European Institute of Technology
Citation
Doi	http://dx.doi.org/10.1016/j.neuroimage.2011.03.005
Field	Neurology, neurosurgery, neurosciences
Keywords	STOCHASTIC DIFFERENTIAL-EQUATIONS; BOLD HEMODYNAMIC-RESPONSES; LOCAL LINEARIZATION METHOD; CEREBRAL BLOOD-FLOW; BRAIN ACTIVATION; BALLOON MODEL; SYSTEMS; SIGNALS; NOISE; SIMULATION
Description	This paper presents a new approach to inverting (fitting) models of coupled dynamical systems based on state-of-the-art (cubature) Kalman filtering. Our scheme promises to provide a significant advance in characterizing the functional architectures of distributed neuronal systems, even in the absence of known exogenous (experimental) input; e.g., resting state fMRI studies and spontaneous fluctuations in electrophysiological studies. Importantly, unlike current Bayesian filters (e.g. DEM), our scheme provides estimates of time-varying parameters, which we will exploit in future work on the adaptation and enabling of connections in the brain.
Related projects:	The internal organisation and neurobiological mechanisms of functional CNS systems under normal and pathological conditions.