In this stream of research, we explore and investigate novel methods of extracting new insights into a given feature such as cortical thickness, via network-level analysis. Analyzing the inter-regional covariance in a given feature povides with us a richer description of the underlying patterns, and network-level changes caused by neurodegenerative diseases such as Alzheimer's disease.

Related publications:

Pradeep Reddy Raamana, Michael Weiner, Lei Wang, Mirza Faisal Beg, "Thickness Network (ThickNET) measures for Prognostic Applications in Dementia", Neurobiology of Aging, Sep 2014. DOI: 10.1016/j.neurobiolaging.2014.05.040.