Hi everyone,
is there an easy way that I’ve missed for obtaining pre-computed topic maps for a model in
https://neurosynth.org/analyses/topics/
for all the topics, instead of one at a time?
thank you!
Francisco
Hi everyone,
is there an easy way that I’ve missed for obtaining pre-computed topic maps for a model in
https://neurosynth.org/analyses/topics/
for all the topics, instead of one at a time?
thank you!
Francisco
I think your best option at the moment is to download the relevant txt files from the neurosynth-data repository. In the linked folder, there are two subfolders: analyses and keys. The files in analyses are paper-by-topic, with each cell containing the paper’s weight for that topic. You can load that file as the features file (combined with database.txt from neurosynth-data) when running meta-analyses with the Neurosynth Python package (see this notebook for an example).
The other files (in keys/) contain topic names and the higher loading terms for each topic. You could use that in interpreting the topics.
Let me know if you have any problems with that approach.
Thank you very much, Taylor, this is exactly what I needed!
Francisco
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