Hello,
First, thank you for providing the TADPOLE data-set/challenge to young researchers like myself =).
I wondered if anyone had any experience with the visualization framework provided by nilearn (
http://nilearn.github.io/index.html) with regards to the TADPOLE data-set? I have some experience using this software for creating brain visualizations using standard brain atlases (AAL, Talairach, Harvard-Oxford, etc.) I'm just getting started with the TADPOLE data-set and would like to provide you with a general idea of my envisioned workflow:
1. Train a model (eg. linear multivariate regression with Lasso regularization) --> XW + b = y (X is TADPOLE data, W is coefficient matrix, y is RAVLT scores, etc.)
2. Take the sparse coefficient matrix W and collapse it into a single column. This collapsed column (derived from W) should provide me with information about which features in X are "important" for predicting RAVLT scores.
Question: Is there a way for me to determine which brain atlas to use when plotting brain images when using the TADPOLE data-set? Has this mapping already been defined? Note: since the TADPOLE data-set is by definition multi-modal I would likely need multiple brain atlases to achieve this..
Furthermore, if this capability doesn't exist where would you suppose it fits inside the TADPOLE project? If I developed a mapping from the columns of X to a specific atlas, in addition to a nilearn integration, I would like to share it with the rest of the research community.
Thanks!
Lou