• Matcheri S Keshavan, Guusje Collin, Synthia Guimond, Sinead Kelly, Konasale M Prasad, and Paulo Lizano.
• Beth Israel Deaconess Medical Center, Harvard Medical School, 75 Fenwood Road, Boston, MA 02115, USA. Electronic address: keshavanms@gmail.com.
• Neuroimaging Clin. N. Am. 2020 Feb 1; 30 (1): 73-83.

AbstractSchizophrenia is a chronic psychotic disorder with a lifetime prevalence of about 1%. Onset is typically in adolescence or early adulthood; characteristic symptoms include positive symptoms, negative symptoms, and impairments in cognition. Neuroimaging studies have shown substantive evidence of brain structural, functional, and neurochemical alterations that are more pronounced in the association cortex and subcortical regions. These abnormalities are not sufficiently specific to be of diagnostic value, but there may be a role for imaging techniques to provide predictions of outcome. Incorporating multimodal imaging datasets using machine learning approaches may offer better diagnostic and predictive value in schizophrenia.Copyright © 2019 Elsevier Inc. All rights reserved.

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