Mean deviation based feature selection from time-series fMRI data of schizophrenia patients

What is it about?

This work describes simple yet novel statistical measures based feature selection algorithm for time-series fMRI data to identify the activated brain voxels that are generally affected in schizophrenia.

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Why is it important?

The brain regions identified in this study may further help clinicians to understand the illness for better medical intervention. It may be possible to explore the approach to fMRI data of other psychological disorders.