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# nipype.algorithms.stats module

Managing statistical maps

## ActivationCount

Link to code

> Bases: SimpleInterface

> Calculate a simple Activation Count Maps

> Adapted from: https://github.com/poldracklab/CNP_task_analysis/ blob/61c27f5992db9d8800884f8ffceb73e6957db8af/CNP_2nd_level_ACM.py

> in_filesa list of items which are a pathlike object or string representing an existing file

>   Input file, generally a list of z-stat maps.

> thresholda float

>   Binarization threshold. E.g. a threshold of 1.65 corresponds to a two-sided Z-test of p<.10.

> acm_nega pathlike object or string representing an existing file

>   Negative activation count map.

> acm_posa pathlike object or string representing an existing file

>   Positive activation count map.

> out_filea pathlike object or string representing an existing file

>   Output activation count map.