plug-in scripts to apply the task potency pipeline on any data.
- roscha_task_potency.py requires path to preprocessed nifti files in the same registration space. It uses Mixture Modelling functions developped by Alberto Llera.
- roscha_MM_thresholding.py can be used for network estimation
- subject and acquisition parameters (age, aroma, gender, TR, rms jenkinson)
- task performance Z partial correlation matrices of the data used for both papers and permutation testing of age effect will be available after publication.
Scripts of analysis and lists of subject corresponding to the preprint: And the best task is ...? Using Task potency to infer task specificity https://www.biorxiv.org/content/early/2017/11/29/111187 (under revision - updated script will be released soon)
Scripts of analysis corresponding to the article: Assessing age-dependent multi-task functional co-activation changes using measures of task-potency www.sciencedirect.com/science/article/pii/S1878929317300592 lists of subjects are the same as the one in script_potency_method_paper
To build matrices, the following pipeline is applyed: NOTE : all raw data are not provided to rerun initial steps leading to the Z partial correlation. However Z partial correlation matrices are provided and scripts leading to these matrices are provided for transparency.
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reg_subjects_GENERIC (data not available to run this step): time series extraction
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matrice_subjects_GENERIC (data not available to run this step): from time series to Z partial correlation matrices
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MMnormalizeALLmat: mixture modelling normalization of the Z partial correlation matrices
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taskpotency_submission (for method paper analysis - will be updated according to the review)
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taskpotency_age_submission (for age paper analysis)