There are 6 repositories under brain-connectivity topic.
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Graph theory analysis of brain MRI data
Frequency domain estimation and functional and directed connectivity analysis tools for electrophysiological data
Python Machine Learning Toolbox for Brain Network Classification. Source codes are included of the top 20 teams in the Kaggle competition.
The Brain Activity Flow ("Actflow") Toolbox. Tools to quantify the relationship between connectivity and task activity through network simulations and machine learning prediction. Helps determine how connections contribute to specific brain functions.
MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Brain Network Toolbox
Essential Motor Cortex Signal Processing MATLAB Toolbox which implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification
Brain Analysis using Graph Theory
Predicting multigraph brain population from a single graph
Federating temporally-varying graph timeseries
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
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Customizable system for displaying and inspecting brain structures, connections, and subsystems in VR
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
How to predict uncertainty of regression GNN models under target domain shifts?
Supervised graph diffusion and fusion.
PyPDC is a Python package to perform asymptotic Partial Directed Coherence estimations for brain connectivity analysis.
Napari-based 3D cell segmentation software using machine learning predictions as inputs, especially for EM image stacks of brains