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C-PAC by FCP-INDI

Configurable Pipeline for the Analysis of Connectomes. Download .tar.gz. The Configurable Pipeline for the Analysis of Connectomes (C-PAC) is an open-source software pipeline for automated preprocessing and analysis of resting-state fMRI data. C-PAC builds upon a robust set of existing software packages including AFNI. Optimized For Large Datasets. Different analysis pipelines can produce significantly different results, raising questions about the replicability and reliability of brain imaging findings&...

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C-PAC by FCP-INDI | fcp-indi.github.io Reviews
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Configurable Pipeline for the Analysis of Connectomes. Download .tar.gz. The Configurable Pipeline for the Analysis of Connectomes (C-PAC) is an open-source software pipeline for automated preprocessing and analysis of resting-state fMRI data. C-PAC builds upon a robust set of existing software packages including AFNI. Optimized For Large Datasets. Different analysis pipelines can produce significantly different results, raising questions about the replicability and reliability of brain imaging findings&...
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C-PAC by FCP-INDI | fcp-indi.github.io Reviews

https://fcp-indi.github.io

Configurable Pipeline for the Analysis of Connectomes. Download .tar.gz. The Configurable Pipeline for the Analysis of Connectomes (C-PAC) is an open-source software pipeline for automated preprocessing and analysis of resting-state fMRI data. C-PAC builds upon a robust set of existing software packages including AFNI. Optimized For Large Datasets. Different analysis pipelines can produce significantly different results, raising questions about the replicability and reliability of brain imaging findings&...

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Addiction Connectome Preprocessed Initiative (ACPI) — Addiction Connectome Preprocessed Initiative (ACPI) documentation

http://fcon_1000.projects.nitrc.org/indi/ACPI/html/index.html

Addiction Connectome Preprocessed Initiative (ACPI). Addiction Connectome Preprocessed Initiative (ACPI). The Addiction Connectome Preprocessed Initiative (ACPI) aims to facilitate the image processing and analysis of datasets generated by NIDA investigators, with a particular focus on the determination of robustness to preprocessing decisions. In this regard, we are providing 8 preprocessed versions of the resting state fMRI datasets provided by contributors:. The 8 pipelines differ with respect to the ...

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C-PAC by FCP-INDI

Configurable Pipeline for the Analysis of Connectomes. Download .tar.gz. The Configurable Pipeline for the Analysis of Connectomes (C-PAC) is an open-source software pipeline for automated preprocessing and analysis of resting-state fMRI data. C-PAC builds upon a robust set of existing software packages including AFNI. Optimized For Large Datasets. Different analysis pipelines can produce significantly different results, raising questions about the replicability and reliability of brain imaging findings&...

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