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Related Experiment Video

Updated: May 13, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

PANDA: a pipeline toolbox for analyzing brain diffusion images.

Zaixu Cui1, Suyu Zhong, Pengfei Xu

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

Frontiers in Human Neuroscience
|February 27, 2013
PubMed
Summary
This summary is machine-generated.

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This study introduces PANDA, a MATLAB toolbox for fully automated brain diffusion image processing. PANDA simplifies dMRI analysis, enabling faster structural connectome studies.

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Image Analysis

Background:

  • Diffusion magnetic resonance imaging (dMRI) is crucial for in-vivo human brain studies.
  • Automating dMRI data processing remains a significant challenge in research and clinical settings.

Purpose of the Study:

  • To develop a fully automated MATLAB toolbox, PANDA, for processing brain diffusion images.
  • To streamline the analysis of dMRI datasets for structural connectome research.

Main Methods:

  • PANDA integrates modules from established packages like FSL, PSOM, Diffusion Toolkit, and MRIcron.
  • It automates the conversion of DICOM/NIfTI dMRI data into diffusion metrics (e.g., FA, MD) and brain networks.
  • The toolbox supports parallel processing across multiple cores and computing environments.
Keywords:
DTIPANDAconnectomediffusion MRIdiffusion metricsnetworkpipelinestructural connectivity

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Last Updated: May 13, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Published on: November 8, 2012

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury
10:33

Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

Published on: August 14, 2019

Main Results:

  • PANDA enables automated voxel-level, atlas-level, and TBSS-level statistical analysis of diffusion metrics.
  • It facilitates the construction of anatomical brain networks for multiple subjects.
  • The toolbox significantly reduces processing time for large dMRI datasets.

Conclusions:

  • PANDA offers a user-friendly, open-source solution for automated dMRI processing.
  • This toolbox is expected to simplify dMRI data analysis and advance human structural connectome studies.