HAVLÍČEK, Martin, Karl J. FRISTON, Jiří JAN, Milan BRÁZDIL and Vince D. CALHOUN. Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering. NeuroImage. ACADEMIC PRESS INC ELSEVIER SCIENCE, 2011, vol. 56, No 4, p. 2109-2128. ISSN 1053-8119. Available from: https://dx.doi.org/10.1016/j.neuroimage.2011.03.005.
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Basic information
Original name Dynamic modeling of neuronal responses in fMRI using cubature Kalman filtering
Name in Czech Dynamické modelování neuronálních odpovědí ve funkční fMRI s použitím Kalmanova kubaturního filtrování
Authors HAVLÍČEK, Martin (203 Czech Republic), Karl J. FRISTON (826 United Kingdom of Great Britain and Northern Ireland), Jiří JAN (203 Czech Republic), Milan BRÁZDIL (203 Czech Republic, guarantor, belonging to the institution) and Vince D. CALHOUN (840 United States of America).
Edition NeuroImage, ACADEMIC PRESS INC ELSEVIER SCIENCE, 2011, 1053-8119.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 5.895
RIV identification code RIV/00216224:14740/11:00055575
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1016/j.neuroimage.2011.03.005
UT WoS 000291457500023
Keywords in English STOCHASTIC DIFFERENTIAL-EQUATIONS; BOLD HEMODYNAMIC-RESPONSES; LOCAL LINEARIZATION METHOD; CEREBRAL BLOOD-FLOW; BRAIN ACTIVATION; BALLOON MODEL; SYSTEMS; SIGNALS; NOISE; SIMULATION
Tags ok, rivok
Tags International impact
Changed by Changed by: Olga Křížová, učo 56639. Changed: 24/3/2012 07:30.
Abstract
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.
Links
MSM0021622404, plan (intention)Name: Vnitřní organizace a neurobiologické mechanismy funkčních systémů CNS
Investor: Ministry of Education, Youth and Sports of the CR, The internal organisation and neurobiological mechanisms of functional CNS systems under normal and pathological conditions.
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