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DCP: A pipeline toolbox for diffusion connectome.

Weijie Huang1,2,3, Xinyi Dong1, Tengda Zhao1

  • 1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, PR China.

Human Brain Mapping
|February 20, 2024
PubMed
Summary
This summary is machine-generated.

The Diffusion Connectome Pipeline (DCP) offers automated brain structural network analysis from diffusion MRI data. This MATLAB toolbox simplifies white matter connection mapping for advanced human brain connectomics research.

Keywords:
DCPdMRIdiffusion connectomediffusion tensor imaginggraph theorystructural connectivitystructure networkwhite matter

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Network Science

Background:

  • Diffusion magnetic resonance imaging (dMRI) enables the study of brain structural networks by mapping white matter connections.
  • Existing dMRI processing packages and network analysis toolboxes present challenges for fully automated network analysis.
  • The development of the structural brain connectome necessitates efficient and standardized analytical workflows.

Purpose of the Study:

  • To develop a cross-platform MATLAB toolbox, the Diffusion Connectome Pipeline (DCP), for automated brain structural network construction and analysis.
  • To integrate established dMRI processing packages into a unified, user-friendly computational workflow.
  • To validate the DCP's capacity and reliability in reproducing previous research findings.

Main Methods:

  • Development of the Diffusion Connectome Pipeline (DCP) as a MATLAB toolbox.
  • Integration of multiple dMRI processing packages (FSL, Diffusion Toolkit, SPM, Camino, MRtrix3, MRIcron).
  • Implementation of a graphical user interface for non-programmers to configure processing pipelines.

Main Results:

  • The DCP successfully automates the construction of brain structural networks and calculation of topological attributes.
  • The toolbox demonstrated the capacity to reproduce findings from previous studies, validating its performance.
  • Compatibility with raw dMRI data and preprocessed files from large datasets (HCP, UK Biobank) was confirmed.

Conclusions:

  • The Diffusion Connectome Pipeline (DCP) provides a standardized, fully automated workflow for white matter network analysis.
  • DCP facilitates advancements in human brain connectomics research by simplifying complex dMRI data processing.
  • Limitations include reliance on MATLAB and the inability to process fixel-based metrics weighted networks.