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Related Experiment Video

Updated: Jul 24, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

NetPlotBrain: A Python package for visualizing networks and brains.

Silvia Fanton¹, William Hedley Thompson^1,2

¹Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Network Neuroscience (Cambridge, Mass.)

|July 3, 2023

Summary

NetPlotBrain is a new Python package that simplifies creating accurate network visualizations on brain images. It offers an easy-to-use interface and integrates with neuroimaging tools for high-quality results.

Keywords:

Network neuroscience Network visualizations Python Research software

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3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

Area of Science:

Neuroimaging
Network Theory
Data Visualization

Background:

Network visualizations are complex, multidimensional, and information-rich, making accurate and effective figure generation challenging.
The layout of network visualizations is crucial for conveying network or spatial properties.
Generating high-quality network plots often requires expert knowledge and significant time.

Purpose of the Study:

Introduce NetPlotBrain, a Python package for creating network visualizations on brain images.
Provide a user-friendly interface for customizing and highlighting network results.
Ensure plot accuracy through integration with TemplateFlow and other Python software.

Main Methods:

Developed NetPlotBrain as a Python package compatible with Python 3.9+.
Integrated NetPlotBrain with TemplateFlow for accurate spatial referencing.
Enabled integration with NetworkX and network-based statistics implementations.

Main Results:

NetPlotBrain offers a high-level interface for easy customization of network plots.
The package ensures plot accuracy via TemplateFlow integration.
Facilitates seamless integration with existing neuroimaging and network analysis software.

Conclusions:

NetPlotBrain is a versatile and user-friendly package for generating high-quality network figures on brain images.
It simplifies complex visualization tasks in neuroimaging and network theory research.
Promotes accurate and reproducible network visualizations within the open research community.