functional magnetic resonance imaging (fMRI) data, and as a result are now able to identify subgroups of schizophrenia patients.The new findings can assist in diagnosis and treatment of patients with mental illnesses that can be difficult to identify and show medical practitioners whether the current treatments have or have not been working based on image groupings.The study is published in the journal NeuroImage.The image analysis method is called independent vector analysis (IVA) for common subspace extraction (CS).
Through this method, the researchers were able to categorize subgroups of fMRI data based solely on brain activity, proving that there is a link between brain activity and certain mental illnesses.
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