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Author:
None
License:
MIT
Summary:
Spectral cortical and subcortical analysis with statistical testing (RSA, CCA, PLS, PERMANOVA, TFCE, NBS, laterality classification), on meshes and point clouds — Laplace-Beltrami decomposition, atlas-free asymmetry, GPU-accelerated optimal transport, hippocampal subfield analysis (HippUnfold), ShapeDNA/BrainPrint spectral fingerprinting, geometric deep learning, Bayesian inference, and normative modeling for structural neuroimaging.
Latest version:
0.2.7
Required dependencies:
gpytorch
|
joblib
|
matplotlib
|
nibabel
|
numpy
|
pandas
|
pyvista
|
scikit-sparse
|
scipy
|
torch
|
tqdm
|
trimesh
Optional dependencies:
arviz
|
bambi
|
blackjax
|
brainspace
|
corticalfields
|
cupy-cuda13x
|
geometric-kernels
|
geomloss
|
igraph
|
jax
|
lapy
|
neuromaps
|
numpyro
|
nutpie
|
open3d
|
pandas
|
pgmpy
|
pot
|
potpourri3d
|
preliz
|
pycpd
|
pymc
|
pymc-extras
|
pytest
|
pytest-cov
|
robust-laplacian
|
ruff
|
seaborn
|
surfplot
|
torch-geometric
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