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[wiki:FmDownload Download]
[wiki:FmRequirements What you'll need to undistort an EPI data series]
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|<100% bgcolor="#FFFF99">Using a field-map to undistort EPIsBR[wiki:FmBackground Background]BR[wiki:FmPower Improvement in power!]BR[wiki:FmFieldmaps Acquiring fieldmaps]BR[wiki:FmDownload Download]BR[wiki:FmRequirements What you'll need to undistort an EPI data series]BR[wiki:FmReference Guide and reference]BR[wiki:MyPage Step-by-step example]BR[wiki:FmBatch Batch mode]

Improvement in power in RFX analysis

What you really care about is probably power to detect functional activation. Here are the results of a random effects analysis (N=12) of a motor cortex localiser task. Subjects were asked to press a button either with a finger of their left hand (left column) or their right (right column). The data were analysed with or without undistortion.

http://imaging.mrc-cbu.cam.ac.uk/images/motortask.gif

Functional images (thresholded at 0.001 uncorrected) are shown superimposed on the SPM T1 template. The numbers in the top left of each image indicate peak t values over the whole volume. After the application of undistortion, clear activation can be seen in motor cortex (BA 4) on each side.

CbuImaging: FmPower (last edited 2013-03-07 21:24:04 by localhost)