Using Gaussian-process regression for meta-analytic neuroimaging inference based on sparse observations.
The purpose of neuroimaging meta-analysis is to localize the brain regions that are activated consistently in response to a certain intervention. As a commonly used technique, current coordinate-based meta-analyses (CBMA) of neuroimaging studies utilize relatively sparse information from published studies, typically only using (x,y,z) coordinates of the activation peaks. Such CBMA methods have several limitations. First, there is no way to jointly incorporate deactivation information when ava...Expand abstract
- Publication status:
- Publisher copy:
- Copyright date:
Views and Downloads
If you are the owner of this record, you can report an update to it here: Report update to this record