Resting State Functional Connectivity Database

For those of you not in the know, there is a gimundo FMRI database comprising resting state datasets from research laboratories all over the world. (Meaning the United States, Belgium, Ireland, and the Netherlands.) Scanning parameters and sample features are included with each dataset, making it straightforward to download and analyze entire datasets with relative ease. This is my first time doing resting state functional connectivity analysis, as I have never before collected a dataset using this technique, and I will be sure to document my progress as I go along.

Thanks to Omar Maximo, who can dunk a basketball literally AND figuratively.

AFNI Command of the Week: 3dinfo

Researchers are always trying to find out more about their data. They examine at it from different angles; place it in their hand and feel its texture and test its heft; and look closely for portents and signs and the apocalypse.

3dinfo, similar to FSL's fslinfo and SPM's spm_vol, returns critical information about an FMRI dataset, such as the number of voxels along the x-, y-, and z-directions, the size of those voxels, and other header essentials, such as the number of volumes and the length of the repetition time (TR). This information is critical when performing steps such as slice timing correction with 3dTshift, when the researcher may want to know more about the number of slices and the acquisition of those slices, or when doing a step like cluster correction, where the voxel dimensions are a critical piece of information.

A few lesser known options include the -VERB option (in all caps), which generates even more information than the typical -verb option, and -echo_edu, which formats the standard output into a clear and easy-to-read table. This and more can be found in the following video: