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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Computer Aided Diagnosis of Schizophrenia Based on Local-Activity Measures of Resting-State fMRI
verfasst von : Alexandre Savio, Darya Chyzhyk, Manuel Graña
Erschienen in: Hybrid Artificial Intelligence Systems
Verlag: Springer International Publishing
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Resting state functional Magnetic Resonance Imaging (rs-fMRI) is increasingly used for the identification of image biomarkers of brain diseases or psychiatric conditions, such as Schizophrenia. One approach is to perform classification experiments on the data, using feature extraction methods that allow to localize the discriminant locations in the brain, so that further studies may assess the clinical value of such locations. The classification accuracy results ensure that the located brain regions have some relation to the disease. In this paper we explore the discriminant value of brain local activity measures for the classification of Schizophrenia patients. The extensive experimental work, carried out on a publicly available database, provides evidence that local activity measures such as Regional Homogeneity (ReHo) may be useful for such purposes.