Graph theory analysis of brain MRI data
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Updated
Feb 20, 2024 - R
Graph theory analysis of brain MRI data
Simulate the C. Elegans worm brain in your browser and interact with the worm as it moves around.
A dynamic connectome mapping module in python.
Python library for analysis of neuroanatomical data.
Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, resting/state functional MRI, and recently EEG processing pipelines, from raw T1 / DWI / BOLD , and preprocessed EEG data to multi-resolution brain parcellation with corresponding connection matrices.
micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below
Please use the new version of LiFE: www.github.com/brain-life/encode
STAGIN: Spatio-Temporal Attention Graph Isomorphism Network
Fast and memory efficient approach for connectome-wide association studies in R and C++. Uses custom implementation of multivariate distance matrix regression to associate brain and behavior.
A performant, powerful query framework to search for network motifs
A Hugo theme with backlinks for online communities
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
A multipurpose matlab-based MEG/EEG overlay & network plotter
A prediction-based extension of network-based statistics.
Spectral graph model base code and examples
Tools to work with the FlyWire connectome. Fully interoperable with navis.
GNN with summarization/grouping layer for speed and interpretability
Python tool for spatially normalizing diffusion MRI data
Connectocross: statistical characterizations and comparisons of nanoscale connectomes across taxa (A paper in progress)
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