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Neuroimaging‐based multivariate pattern‐recognition methods have been successfully used to develop diagnostic algorithms to distinguish patients with major depressive disorder (MDD) from healthy controls (HC). We developed and evaluated the accuracy… Click to show full abstract
Neuroimaging‐based multivariate pattern‐recognition methods have been successfully used to develop diagnostic algorithms to distinguish patients with major depressive disorder (MDD) from healthy controls (HC). We developed and evaluated the accuracy of a multivariate classification method for the differentiation of MDD and HC using cerebral blood flow (CBF) features measured by non‐invasive arterial spin labeling (ASL) MRI.
Keywords:
arterial spin;
automatic classification;
spin labeling;
disorder
Journal Title: Psychiatry and Clinical Neurosciences
Year Published: 2019
Link to full text (if available)
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Journal Title: Psychiatry and Clinical Neurosciences
Year Published: 2019
Link to full text (if available)
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recommendations!