nimare.workflows.ibma
.IBMAWorkflow
- IBMAWorkflow(estimator=None, corrector=None, diagnostics=None, voxel_thresh=1.65, cluster_threshold=10, output_dir=None, n_cores=1)[source]
Compose a coordinate-based meta-analysis workflow.
Added in version 0.2.0.
This workflow performs a coordinate-based meta-analysis, multiple comparison corrections, and diagnostics analyses on corrected meta-analytic z-score maps.
- Parameters:
estimator (
IBMAEstimator
,str
{‘stouffers’, ‘fishers’, ‘hedges’, ‘permutedols’, ‘wleastsquares’, ‘dersimonianlaird’, ‘samplesizebl’. ‘variancebl’}, or optional) – Meta-analysis estimator. Default isALE
.corrector (
Corrector
,str
{‘montecarlo’, ‘fdr’, ‘bonferroni’} or optional) – Meta-analysis corrector. Default isFDRCorrector
.diagnostics (
list
ofDiagnostics
,Diagnostics
,str
{‘jackknife’}, or optional) – List of meta-analysis diagnostic classes. A single diagnostic class can also be passed. Default isFocusCounter
.voxel_thresh (
float
or None, optional) – An optional voxel-level threshold that may be applied to thetarget_image
in theDiagnostics
class to define clusters. This can be None or 0 if thetarget_image
is already thresholded (e.g., a cluster-level corrected map). If diagnostics are passed as initialized objects, this parameter will be ignored. Default is 1.65, which corresponds to p-value = .05, one-tailed.cluster_threshold (
int
or None, optional) – Cluster size threshold, in voxels. If None, then no cluster size threshold will be applied. If diagnostics are passed as initialized objects, this parameter will be ignored. Default is 10.output_dir (
str
, optional) – Output directory in which to save results. If the directory doesn’t exist, it will be created. Default is None (the results are not saved).n_cores (
int
, optional) – Number of cores to use for parallelization. If <=0, defaults to using all available cores. If estimator, corrector, or diagnostics are passed as initialized objects, this parameter will be ignored. Default is 1.