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Ian has written a technical note in latex - attachment:parametric_latex.tex | Ian has written a technical note in latex: http://imaging.mrc-cbu.cam.ac.uk/svn/cbumethods/parameters/trunk/docs/smoothed.tex |
Parametric modulation
The problem of constrained modeling of parametric modulation across events, allowing for flexible relationship between signal and parameter.
Work so far
The event-related study of Brett et al:
http://www.mrc-cbu.cam.ac.uk/~matthew/abstracts/ER/er_analysis.html
Parametric modulation approach described in:
- Estimating effects on effects using the Varying Coefficient Models by Ferath Kherif, Emmanuel A Stamatakis, Cristina Ramponi,Matthew Brett, Ian Nimmo-Smith, and Lorraine K Tyler
http://www.mrc-cbu.cam.ac.uk/Statistics/Methods/Resources/ferath_hbm2005.pdf
The dataset
Described in Brett et al abstract and poster above.
Visual checkerboard events at random intervals. Sessions for which events are rapid (mean ISI 1 second) to slow (mean ISI 10 seconds). Evidence that interval between current and last event influences height and possibly shape of response. We wanted to be able to fit a curve relating the height of the event to the parametric modulator of time since last event.
We used region of interest time courses from the visual cortex to stabilize the signal.
Code so far
Implemented in matlab, by Ferath and Ian. No modeling of
Ian has written a technical note in latex:
http://imaging.mrc-cbu.cam.ac.uk/svn/cbumethods/parameters/trunk/docs/smoothed.tex
Plan
Put
Approach to problem
- Proper modeling of autocorrelation - maybe using R routines
- Modeling on ROI time-courses