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Statistical Analysis of Large Cross-Covariance and Cross-Correlation Matrices Produced by fMRI Images
2013
Journal of Biometrics & Biostatistics
The paper describes the theory, methods and application of statistical analysis of large-p-small-n cross-correlation matrices arising in fMRI studies of neuroplasticity, which is the ability of the brain to recognize neural pathways based on new experience and change in learning. Traditionally these studies are based on averaging images over large areas in right and left hemispheres and then finding a single cross-correlation function. It is proposed to conduct such an analysis based on a
doi:10.4172/2155-6180.1000193
fatcat:wrswjy6tv5cv7dhjmiwb4ram6y