Tutorials

The following notebooks provide examples of how to use the Comet library for various analyses.

Tip

The notebooks are included in the tutorials/ folder of the toolbox and can be downloaded from GitHub: https://github.com/mibur1/comet

Note

This page is actively being updated and more tutorials will be added over time. Some features listed here might occasionally not yet be available on PyPI distributions. You can install the latest development version from GitHub to access all features.

Dynamic Functional Connectivity (dFC)

General Introduction

• Continuously varying dFC
• State-based dFC
• State-based dFC for continuously varying measures
• State-based dFC for voxelwise analysis

Data Handling

• Preparing NIfTI data for connectivity analysis
• Preparing CIFTI data for connectivity analysis
• Preparing fMRIprep data for connectivity analysis

Graph Analysis

• Graph measures
• Performance improvements for computationally expensive measures

CIFTI Tools

• CIFTI parcellation and surface plotting

Multiverse Analysis

General Introduction

• Multiverse basics
• Loading an existing multiverse
• Visualising a multiverse
• Advanced multiverse structures
• Multiverse integration
• Multiverse recipes
• Multiverse analysis on a high performance cluster

Usage Examples

• Brain-behaviour association simulation example
• Hurricane multiverse (non-neuroimaging)
• Autism classification (resting-state fMRI)
• Dynamic functional connectivity and graph analysis (simulated data)

Graphical User Interface

• Graphical user interface quickstart