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CBPtools: a Python package for regional connectivity-based parcellation.

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  • 1Institute of Systems Neuroscience, Heinrich-Heine University, Düsseldorf, Germany.

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Summary
This summary is machine-generated.

This study introduces CBPtools, an open-source software package for regional connectivity-based parcellation (rCBP). CBPtools standardizes and simplifies this neuroimaging analysis, promoting reproducible and comparable results across studies.

Keywords:
ClusteringConnectivity-based parcellationDiffusion-weighted imagingResting stateSoftware

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Brain Mapping

Background:

  • Regional connectivity-based parcellation (rCBP) is crucial for understanding brain structure and function.
  • Lack of standardized software hinders reproducibility and comparability of rCBP studies.
  • Existing methods require custom tool development, limiting accessibility.

Purpose of the Study:

  • To introduce CBPtools, an open-source software package for standardized rCBP analysis.
  • To provide a user-friendly and customizable workflow for rCBP.
  • To promote reproducible and comparable neuroimaging research.

Main Methods:

  • Developed CBPtools, a Python package for rCBP analysis.
  • Supports resting-state functional connectivity and diffusion-weighted imaging structural connectivity.
  • Workflow is customizable, scalable for large datasets, and includes validity metrics.

Main Results:

  • CBPtools enables straightforward execution of rCBP analyses.
  • The software provides textual and graphical outputs of parcellation results.
  • Demonstrated utility with a large dataset on three prominent ROIs.

Conclusions:

  • CBPtools offers a plug-and-play, yet customizable solution for rCBP.
  • The open-source nature promotes accessibility and standardization in neuroimaging.
  • Facilitates reproducible and comparable investigations of brain connectivity and parcellation.