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Releases: neurodata/m2g

Stable m2g pipeline release

27 Feb 22:21
3bc4e9a
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This release serves as the much-needed versioning update, as much has changed since the last posted release.

Main Package Features:

  • One-command pipeline for structural and functional connectome estimation
  • Session-level analysis generates 1mm resolution connectomes across 36 parcellations ranging in size from 48 to 72,000 nodes, all in MNI152 standard space.
  • Direct interfaces with Amazon Web Services for batch processing of data stored in the cloud.
  • Public repository of connectomes available at http://m2g.io

Install Instructions:

pip installation is currently not supported, with a new release being made when that is possible. m2g is available through Docker, with: docker pull neurodata/m2g:latest. The Docker image can also be built from the Dockerfile provided in the repository.

Usage Instructions:

Please read provided README.md

Stable ndmg-DWI Pipeline Release

26 Jan 21:00
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Main Package Features

  • One-click pipeline for structural connectome estimation from DWI and T1w images
  • Leverages Dipy, Plotly, Nilearn, FSL, Networkx, and others
  • Supports several command-line APIs, including the BIDS app specification
  • Has session- and group-level analysis, performing connectome estimation and summary statistic computation, respectively
  • Session-level analysis generates 1mm resolution connectomes across 25 parcellations ranging in size from 48 to 72,000 nodes, all in MNI152 standard space.
  • Direct interfaces with Amazon Web Services for batch processing of data stored in the cloud.
  • Public repository of connectomes available at http://m2g.io

For more information, please see the README of this repository.

Install Instructions

pip install ndmg*
* once FSL is installed

OR

Available through Docker, with: docker pull bids/ndmg:v0.1.0. Container is compatible with Singularity 2.4.1, though pulling from Singularity Hub is not currently available for this pipeline.

Usage Instructions

Through the BIDS app interface, ndmg can be used as follows:

ndmg_bids bids_directory output_directory {session, group} [--participant_level []] [--session_level []]

one-click pipeline for human brain graph estimation

15 Aug 14:04
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setting DOI (2.0)

15 Aug 12:51
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v0.0.25c is a re-release v0.0.25 but now enables us to get a DOI for this repository.