nipype.interfaces.spm.model use_vox_fdr_correction attribute error

[Claar727]

Summary

In the documentation for the Threshold method within the nipype SPM interface it shows use_vox_fdr_correction as an optional input with description "Whether to use voxel-based FDR correction for initial threshold (height_threshold_type has to be set to q-value)." Whenever I set this to True and set height_threshold_type to 'q-value' I get the error
TraitError: Cannot set the undefined 'use_vox_fdr_correction' attribute of a 'ThresholdInputSpec' object.
I tried importing ThresholdInputSpec directly and creating an instance to check its available attributes via dir and did not see use_vox_fdr_correction. I also tried setting the height_threshold_type to 'q-value' without including the use_vox_fdr_correction and got an error stating that 'q-value' was not a valid value for height_threshold_type. My workflow works perfectly if I use Topographical FDR or FWE. I can replicate the error using the code snippet below.

Using the inspect module to look at the Threshold definition (i.e., inspect.getsource(spm.Threshold) I can see that there is no use_vox_fdr_correction attribute but when I look through the github it appears in the Threshold class definition. Should I be using a different NiPyPe version to use this capability or should I clone the github instead of installing NiPyPe via pip? Any help is appreciated!

Actual behavior

TraitError

Expected behavior

Voxel-wise FDR correction of contrast images with significance level set via q-value.

How to replicate the behavior

import nipype.interfaces.spm as spm
matlab_cmd = 'path/to/standalone/SPM12 path/to/mcr script'
spm.SPMCommand.set_mlab_paths(matlab_cmd=matlab_cmd, use_mcr=True)
spm.Threshold(height_threshold=0.05, height_threshold_type='q-value', use_vox_fdr_correction=True)

Script/Workflow details

NA
Please put URL to code or code here (if not too long).
import nipype.interfaces.spm as spm
matlab_cmd = 'path/to/standalone/SPM12 path/to/mcr script'
spm.SPMCommand.set_mlab_paths(matlab_cmd=matlab_cmd, use_mcr=True)
spm.Threshold(height_threshold=0.05, height_threshold_type='q-value', use_vox_fdr_correction=True)

Platform details:

SPM version: 12.7771
MCR: v910
Python: 3.10.14
NiPyPe: 1.8.6
OS: Linux

• NAME="Red Hat Enterprise Linux"
• VERSION="8.9 (Ootpa)"
• ID="rhel"
• ID_LIKE="fedora"
• VERSION_ID="8.9"
• PLATFORM_ID="platform:el8"
• PRETTY_NAME="Red Hat Enterprise Linux 8.9 (Ootpa)"
• ANSI_COLOR="0;31"
• CPE_NAME="cpe:/o:redhat:enterprise_linux:8::baseos"
• HOME_URL="https://www.redhat.com/"
• DOCUMENTATION_URL="https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8"
• BUG_REPORT_URL="https://bugzilla.redhat.com/"
• REDHAT_BUGZILLA_PRODUCT="Red Hat Enterprise Linux 8"
• REDHAT_BUGZILLA_PRODUCT_VERSION=8.9
• REDHAT_SUPPORT_PRODUCT="Red Hat Enterprise Linux"
• REDHAT_SUPPORT_PRODUCT_VERSION="8.9"

{'commit_hash': '<not found>',
 'commit_source': '(none found)',
 'networkx_version': '3.3',
 'nibabel_version': '5.2.1',
 'nipype_version': '1.8.6',
 'numpy_version': '1.26.4',
 'pkg_path': '/blue/vabfmc/data/working/robert727/.conda/envs/cda2_nipype_wf/lib/python3.10/site-packages/nipype',
 'scipy_version': '1.13.0',
 'sys_executable': '/blue/vabfmc/data/working/robert727/.conda/envs/cda2_nipype_wf/bin/python',
 'sys_platform': 'linux',
 'sys_version': '3.10.14 | packaged by conda-forge | (main, Mar 20 2024, '
                '12:45:18) [GCC 12.3.0]',
 'traits_version': '6.3.2'}

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