Hi - Caret has a feature "metric auto load" intended for tractography data. Essentially, for each voxel in a volume there's an associated metric. When you click a surface node, the metric for the node associated with that voxel is loaded.
That suits me well, and works well for probabilistic tractography which is easily expressible as a metric, in terms of caret volume->surface operations from a niftii volume. So, cool. But, there is also merit in deterministic tractography from tensors or ODFs. It gives a global picture more cheaply (in terms of memory and computation). I guess the standard for this sort of thing is trackvis. Freesurfer has a command dmri_trk2trk what this does is take a DTK/Trackvis .trk file (which is a load of vectors describing streamlines, fancy those colored visuals you always see), applies a transform (from FLIRT) to get it into (in this case) the equivalent voxel to voxel relations as the underlying CARET anatomical image, and outputs a new trk, but also a niftii of vectors. Now is there anyway to take that vector niftii and somehow load it as connectivity (rather than metric) data? If not, similar code may be in CARET already, because of the cocomac interface. This is different, but not that different. It would be useful to many I would think. one would define an ROI of nodes, and the nodes connected to it by streamlines would make themsleves known. thanks Colin, Sussex
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