Graph theory analysis of brain MRI data
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Updated
Feb 20, 2024 - R
Graph theory analysis of brain MRI data
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.
Simulate the C. Elegans worm brain in your browser and interact with the worm as it moves around
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
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
A Hugo theme with backlinks for online communities
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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