zeigar / graynet

Subject-wise networks from structural MRI (thickness, gray matter density, curvature, gyrification)

graynet

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Individualized single-subject networks from T1 mri features such as cortical thickness, gray matter density, subcortical morphometric features, gyrification and curvature.

Applicable for whenever network-level features are useful, among which common use cases are

• biomarker development and
• brain-behaviour relationships (e.g. for the diagnosis and prognosis of many brain disorders such as Alzheimer's, Parkinson's, Schizophrenia and the like).
• aging (changes in network properties over age and their relations to other variables)

Docs: http://graynet.readthedocs.io

Installation

pip install -U graynet

Thanks.