nimare.meta.cbma.ale
.ALESubtraction¶
-
class
ALESubtraction
(n_iters=10000)[source]¶ ALE subtraction analysis.
- Parameters
n_iters (
int
, optional) – Default is 10000.
Notes
This method was originally developed in 1 and refined in 2.
Warning
This implementation contains one key difference from the original version. In the original version, group 1 > group 2 difference values are only evaluated for voxels significant in the group 1 meta-analysis, and group 2 > group 1 difference values are only evaluated for voxels significant in the group 2 meta-analysis. In NiMARE’s implementation, the analysis is run in a two-sided manner for all voxels in the mask.
References
- 1
Laird, Angela R., et al. “ALE meta‐analysis: Controlling the false discovery rate and performing statistical contrasts.” Human brain mapping 25.1 (2005): 155-164. https://doi.org/10.1002/hbm.20136
- 2
Eickhoff, Simon B., et al. “Activation likelihood estimation meta-analysis revisited.” Neuroimage 59.3 (2012): 2349-2361. https://doi.org/10.1016/j.neuroimage.2011.09.017
-
fit
(meta1, meta2)[source]¶ Run a subtraction analysis comparing two groups of experiments from separate meta-analyses.
- Parameters
meta1/meta2 (
nimare.meta.cbma.ale.ALE
) – Fitted ALE Estimators for datasets to compare. These Estimators do not require multiple comparisons correction.- Returns
nimare.results.MetaResult
– Results of ALE subtraction analysis, with one map: ‘z_desc-group1MinusGroup2’.
-
get_params
(deep=True)[source]¶ Get parameters for this estimator.
- Parameters
deep (boolean, optional) – If True, will return the parameters for this estimator and contained subobjects that are estimators.
- Returns
params (mapping of string to any) – Parameter names mapped to their values.