## Abstract Theoretical and practical interest in nonβlinear time series models, particularly regime switching models, have increased substantially in recent years. Given the abundant research activity in analysing timeβvarying volatility through Generalized Autoregressive Conditional Heteroscedast
Theory and generalization of monte carlo models of the BOLD signal source
β Scribed by John Martindale; Aneurin J. Kennerley; David Johnston; Ying Zheng; John E. Mayhew
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 685 KB
- Volume
- 59
- Category
- Article
- ISSN
- 0740-3194
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β¦ Synopsis
Abstract
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 intraβ 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 lookβupβtable (LuT), and was verified against concurrent fMRI and optical imaging measurements of activation induced hemodynamics. Magn Reson Med, 2008. Β© 2008 WileyβLiss, Inc.
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