connectome

Graph theory analysis of brain MRI data

A dynamic connectome mapping module in python.

Please use the new version of LiFE: www.github.com/brain-life/encode

Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation

A performant, powerful query framework to search for network motifs

Connectome Mapper 3 is a BIDS App that implements full anatomical, diffusion, and resting/state functional MRI processing pipelines, from raw T1 / DWI / BOLD data to multi-resolution brain parcellation with corresponding connection matrices.

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

A prediction-based extension of network-based statistics.

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 Hugo theme with backlinks for online communities

micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Readthedoc documentation below

GNN with summarization/grouping layer for speed and interpretability

A unified framework for skeletonization, morphological analysis, and connectivity analysis.

A multipurpose matlab-based MEG/EEG overlay & network plotter

Pipelines and tools for MRI analysis

Weakly Object Localization on brain dMRI using CAM

Fast and easy visualization of fMRI data quality using carpet plots.

Simulate the C. Elegans worm brain in the browser and watch it move around.

CONnectivity ANalysis tools in Matlab

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).

Python 3 implementations of various Functional Connectivity measures

Code for implementing the Aggregation-Network diffusion model (AND), as described in the paper: "Combined Model of Aggregation And Network Diffusion Recapitulates Alzheimer’s Regional Tau-PET " by Ashish Raj*, Veronica Tora, Xiao Gao, Hanna Cho, Jae Yong Choi, Young Hoon Ryu, Chul Hyoung Lyoo, Bruno Franchi. *Department of Radiology and Biomedical Imaging, University of California at San Francisco

Python tool for spatially normalizing diffusion MRI data

Connectocross: statistical characterizations and comparisons of nanoscale connectomes across taxa (A paper in progress)

EM segmentation of mitochondria from SNEMI3D data

Cartographical collection of cortical atlases (neuroscience)

Multi-task learning of functional connectivity on the ABIDE dataset.

Generate random surrogate weighted networks that preserve the effect of distance on the weights.