Theory and generalization of monte carlo models of the BOLD signal source | Zendy

Martindale John | Zendy; Kennerley Aneurin J. | Zendy; Johnston David | Zendy; Zheng Ying | Zendy; Mayhew John E. | Zendy

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Theory and generalization of monte carlo models of the BOLD signal source

Author(s) -

Martindale John,

Kennerley Aneurin J.,

Johnston David,

Zheng Ying,

Mayhew John E.

Publication year - 2008

Publication title -

magnetic resonance in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.696

H-Index - 225

eISSN - 1522-2594

pISSN - 0740-3194

DOI - 10.1002/mrm.21512

Subject(s) - functional magnetic resonance imaging , signal (programming language) , monte carlo method , computer science , magnetic resonance imaging , blood oxygenation , hemodynamics , nuclear magnetic resonance , artificial intelligence , generalization , biological system , neuroscience , physics , mathematics , psychology , statistics , mathematical analysis , medicine , radiology , programming language , biology

The dependency of the blood oxygenation level dependent (BOLD) signal on underlying hemodynamics is not well understood. Building a forward biophysical model of this relationship is important for the quantitative estimation of the hemodynamic changes and neural activity underlying functional magnetic resonance imaging (fMRI) signals. We have developed a general model of the BOLD signal which can model both intra‐ and extravascular signals for an arbitrary tissue model across a wide range of imaging parameters. The model of the BOLD signal was instantiated as a look‐up‐table (LuT), and was verified against concurrent fMRI and optical imaging measurements of activation induced hemodynamics. Magn Reson Med, 2008. © 2008 Wiley‐Liss, Inc.

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