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Particle filtering for nonlinear BOLD signal analysis.

Abstract:

Functional Magnetic Resonance imaging studies analyse sequences of brain volumes whose intensity changes predominantly reflect blood oxygenation level dependent (BOLD) effects. The most comprehensive signal model to date of the BOLD effect is formulated as a continuous-time system of nonlinear stochastic differential equations. In this paper we present a particle filtering method for the analysis of the BOLD system, and demonstrate it to be both accurate and robust in estimating the hidden ph...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Neuroscience
Role:
Author
Volume:
9
Issue:
Pt 2
Pages:
292-299
Publication date:
2006-01-01
EISSN:
1611-3349
ISSN:
0302-9743
URN:
uuid:c9a81cd6-4f14-4268-8970-32c5ad4d526f
Source identifiers:
440021
Local pid:
pubs:440021
ISBN:
3-540-44727-X

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