Topics to cover

[tsalo]

What topics do we want to cover in this Jupyter book?

The nimare-paper covers a lot of the functionality of NiMARE, but it focuses mostly on the background of the different methods.

Here are just a few thoughts:

1. What is meta-analysis?
2. How is meta-analysis in neuroimaging different from your standard, effect-size meta-analysis?
3. Why would you want to do a meta-analysis? 🤔
4. But where do the data come from? 😕
5. Which package should you use for your meta-analyses and why is it definitely NiMARE?
6. The timeline of a meta-analysis project, from design to execution.
7. Follow-up analyses after you've done the meta-analysis.
   • Decoding.
   • MACMs.
8. A few fancy analyses with meta-analytic data (e.g., MACMs, metaICA, CBP).

[tsalo]

Do we want to directly compare results from different tools within this book? E.g., compare GingerALE outputs to NiMARE ALE outputs?