graynet 0.5

Individualized single-subject networks from T1 mri features such as cortical thickness and gray matter density.

Individualized single-subject networks from T1-weighted 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.

• 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: https://raamana.github.io/graynet/