Hierarchical and graphical analysis of fMRI network connectivity in healthy and schizophrenic groups

Abstract

Understanding the changes or disruption in the connectivity among brain networks is important for identifying potential biological markers for neuropsychiatric diseases. Multivariate and data-driven methods, especially independent component analysis (ICA), have proven to be a powerful tool in this field. Here, we introduce a novel analysis scheme that… (More)
DOI: 10.1109/ISBI.2011.5872577

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