Performing meta-analyses

NiMARE implements a number of coordinate- and image-based meta-analysis algorithms in its meta module. In the examples below, we exhibit a range of meta-analyses that can be done with coordinates and/or images in NiMARE.

For more information about the components that go into coordinate-based meta-analyses in NiMARE, see ../cbma, as well as ../outputs.

Coordinate-based meta-analysis algorithms

Coordinate-based meta-analysis algorithms

Image-based meta-analysis algorithms

Image-based meta-analysis algorithms

KernelTransformers and CBMA

KernelTransformers and CBMA

The Estimator class

The Estimator class

The Corrector class

The Corrector class

Compare image and coordinate based meta-analyses

Compare image and coordinate based meta-analyses

Meta-analytic coactivation modeling analysis

Meta-analytic coactivation modeling analysis

Two-sample ALE meta-analysis

Two-sample ALE meta-analysis

Simulate data for coordinate based meta-analysis

Simulate data for coordinate based meta-analysis

Run a coordinate-based meta-analysis (CBMA) workflow

Run a coordinate-based meta-analysis (CBMA) workflow

Coordinate-based meta-regression algorithms

Coordinate-based meta-regression algorithms

Run an image-based meta-analysis (IBMA) workflow

Run an image-based meta-analysis (IBMA) workflow