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Abstract

Italian

Two processing methods of fMRI data are proposed: vector orthogonalization and Fisher transformation of correlation coefficients (cc) distribution.

The former is based on orthogonalization of vectors V (time course of signal intensity) and R (noise) to make V independent from R.

The latter is based on Fisher transformation of cc distribution. From this distribution, by usual statistical tests, it is possible to detect the values of the cc that are significantly different from the mean in order to select activated pixels.

Keywords

functional MRI processing methods

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New Processing Methods in Functional MRI

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