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Spatial Covariance Patterns by Neuroimaging Data | Protocol Preview



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Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data - a 2 minute Preview of the Experimental Protocol

Phoebe Spetsieris, Yilong Ma, Shichun Peng, Ji Hyun Ko, Vijay Dhawan, Chris C. Tang, David Eidelberg
The Feinstein Institute for Medical Research, Center for Neurosciences;

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.

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