open-discussion > the application of machine learning in COBRE dataset
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Jul 12, 2019  06:07 AM | khushboo mittal
the application of machine learning in COBRE dataset
I am working under my mentor on the application of machine learning in COBRE dataset available at https://figshare.com/articles/Cobre_for_machine_learning/1450804 (preprocessed with selected features according to the 7 different resolutions of functional connectivity).

As far as I know, the value in the data points in any of the preprocessed file is the correlation value. My queries are as follows:
1. How to get the index of brain regions (voxel index) after I select any feature out of any resolution, out of this data? Is there any vector available where the index is being during functional connectivity? If we identify the features then how can we backtrack the brain regions?.
2. What does this resolution exactly mean? For example, one file contains a few features (which are not voxels) for a particular resolution number?