File:High Resolution FMRI of the Human Brain.gif
High_Resolution_FMRI_of_the_Human_Brain.gif (512 × 256 pixels, file size: 1.06 MB, MIME type: image/gif, looped, 114 frames, 23 s)
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Summary
| Description |
High Resolution FMRI of the Human Brain1 mm cubical voxels at 3 Tesla The following images show the results from two functional MRI experiments:
Both experiments used FOV=128 mm, image matrix=128x128, and TR=2 s. The background images are the 10 slices gathered in the first EPI shot of the high resolution experiment. With this contrast, CSF is the brightest, gray matter next, and white matter slightly darker than gray matter. The task alternation is 40 s rest and 40 s bilateral finger tapping, for a total of 150 acquisitions (300 s). The function is calculated from all slices, and rendered into 3D using AFNI. Left: 1x1x10 mm**3 data. Right: 1x1x1 mm**3 data. At the start of the animation, the 10 mm thick slab is viewed from above. The color overlay that then appears represents the functional activation, with red indicating signal changes under 15% and yellow signal changes over 20%. The background images are rendered as partly transparent so that the color overlay can "shine through". As the animation progresses, the viewpoint swings around to the side, showing the function from different angles. The background image then fades out completely, and the activated volumes are left hanging in space while the viewpoint swings back to the original top-down orientation. On the left, the activated regions are crudely shaped along the inferior-superior axis, due to the low spatial resolution in that direction. The color shows that the estimated signal change due to activation is smaller in the low resolution dataset. This is probably due to partial-volume effects: not all of the volume of a 1x1x10 mm**3 voxel will be filled with "activated" tissue. Since the signal from a voxel is averaged over its entire contents, if only a small portion of the voxel has a large signal change, the net measured result is a small signal change. With smaller voxels, the regions that are not active will be pruned away and the observed signal changes will be larger. A confounding problem occurs at high resolution when the activation is over a large region. In MRI, the intrinsic signal-to-noise ratio (SNR) declines as the voxel size shrinks. For a fixed number of image acquisitions and for a fixed statistical threshold, lower SNR means that only larger signal changes can be detected. This effect can be overcome by acquiring more images. This effect is also partly mitigated by the fact that much of the interfering "noise" in the detection of FMRI signal changes is not truly MRI noise but is physiological in origin. This type of "noise" will decline as the voxel size shrinks. |
| Source | National Institute of Mental Health |
| Author |
Licensing
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 12:47, 23 October 2005 | | 512 × 256 (1.06 MB) | wikimediacommons>Lipothymia | High Resolution FMRI of the Human BrainDocument Actions 1 mm cubical voxels at 3 Tesla The following images show the results from two functional MRI experiments: The first with voxel dimensions 1x1x10 mm**3 and 1 slice; The second with voxel dimensions |
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