Identification of Disease-related Spatial Covariance Patterns using Neuroimaging DataPhoebe Spetsieris 1, Yilong Ma 1, Shichun Peng 1, Ji Hyun Ko 1, Vijay Dhawan 1, Chris C. Tang 1, David Eidelberg 1
1Center for Neurosciences, The Feinstein Institute for Medical Research
Multivariate techniques including principal component analysis (PCA) have been used to identify signature patterns of regional change in functional brain images. We have developed an algorithm to identify reproducible network biomarkers for the diagnosis of neurodegenerative disorders, assessment of disease progression, and objective evaluation of treatment effects in patient populations.
