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neurodata/ndmg: Stable ndmg-DWI Pipeline Release

Authors: Kiar, Greg; Bridgeford, Eric; Roncal, William Gray; Chandrashekhar, Vikram; Disa Mhembere; Burns, Randal; Vogelstein, Joshua;

neurodata/ndmg: Stable ndmg-DWI Pipeline Release

Abstract

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 []]

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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