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

Project description

Individualized single-subject networks from T1-weighted magnetic resonance imaging (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/

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