I was running MACM sample code with nimare, and when it comes to
mkda = MKDAChi2(kernel__r=2) #should be ten
results = mkda.fit(dset_sel, dset_unsel)
corr = FWECorrector(method="montecarlo", n_iters=10) #should be 10000
cres = corr.transform(results)
it returns the error: ‘NiftiMasker’ object has no attribute ‘high_variance_confounds’, what went wrong here?
thank you for your response!
nilearn’s version is: 0.10.0
nimare’s version is 0.0.12
Hmm, that is strange, I am unable to reproduce an error using a simple set up, using 0.10.2 on my end but should only be a little different and probably not related to the bug you’re getting.
import nilearn.maskers
masker = nilearn.maskers.NiftiMasker()
print(masker.high_variance_confounds)
False
Just in case can you try updating to 0.10.3 (current stable release) and try again?
Until now, I have tried with 0.10.0, 0.10.1, 0.10.2, 0.10.3 and none of them worked out, quite strange
All exactly same error. I can’t really figure out what went wrong cause the code is the same of the MACM tutorial, except that I replaced dset file into : dset_file = “neurosynth_dataset.pkl.gz”. The rest is the same. 
Can you post a minimalist example producing the issue ? Thx in advance,
Bertrand
Thank you bthirion!
By minimalist example, do you mean the exact line of code that produce this error?
Then it’s this line of code:
cres = corr.transform(results)
And the rest of code can be seen here: (all same except that the dataset has been replaced)
https://nimare.readthedocs.io/en/stable/auto_examples/02_meta-analyses/07_macm.html#sphx-glr-auto-examples-02-meta-analyses-07-macm-py
Hi @Nan_Wang,
I wonder if this file (neurosynth_dataset.pkl.gz) was created with the same nilearn’s and nimare’s versions you are loading it. Could you try creating a new Neurosynth Dataset object to see if that solves this issue.
I’m also struggling a bit with the example. Can you give a script that does not rely on some external data, or provide a the data along with the script ?
Best,
Bertrand
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