You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Event-Related Functional Magnetic Resonance Imaging: Modelling, Inference and Optimization
Oliver Josephs and Richard N. A. Henson
Philosophical Transactions: Biological Sciences
Vol. 354, No. 1387, The Measurement of Brain Activity (Jul. 29, 1999), pp. 1215-1228
Published by: Royal Society
Stable URL: http://www.jstor.org/stable/57002
Page Count: 14
You can always find the topics here!Topics: Magnetic resonance imaging, Hemodynamic responses, Statistical variance, Experimentation, Statistical models, Inference, Signals, Hemodynamics, Degrees of freedom, Experiment design
Were these topics helpful?See something inaccurate? Let us know!
Select the topics that are inaccurate.
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
Event-related functional magnetic resonance imaging is a recent and popular technique for detecting haemodynamic responses to brief stimuli or events. However, the design of event-related experiments requires careful consideration of numerous issues of measurement, modelling and inference. Here we review these issues, with particular emphasis on the use of basis functions within a general linear modelling framework to model and make inferences about the haemodynamic response. With these models in mind, we then consider how the properties of functional magnetic resonance imaging data detcrmine the optimal experimental design for a specific hypothesis, in terms of stimulus ordering and interstimulus interval. Finally, we illustrate various event-related models with examples from recent studies.
Philosophical Transactions: Biological Sciences © 1999 Royal Society