title: Can structural neuroimaging be used to define phenotypes and course of schizophrenia?
abstract: This article examines whether structural neuroimaging measures have been found to predict outcome in schizophrenia and whether changes in neuroimaging measures have been found to correlate with poor outcome in the disorder. Overall, there is little compelling evidence that structural neuroimaging measures in either first-episode or chronic patients predict future outcome. Progressive brain changes might reflect a neuroimaging phenotype associated with a worse course of the disorder. At the same time, there are many fruitful avenues that future research could take in an attempt to better predict future outcome or to identify specific imaging phenotypes associated with outcome.
authors.affiliation: Psychological Sciences Department, University of Missouri, 214 McAlester Hall, Columbia, MO 65211, USA.
authors.forename: John G
authors.initials: JG
authors.lastname: Kerns
authors.forename: John
authors.initials: J
authors.lastname: Lauriello
mesh_terms: D001921:Brain / Q000000981:diagnostic imaging* / Q000473:pathology*; D018450:Disease Progression; D004298:Dopamine / Q000378:metabolism; D005071:Evoked Potentials; D059907:Functional Neuroimaging; D006801:Humans; D008279:Magnetic Resonance Imaging; D064847:Multimodal Imaging; D059906:Neuroimaging; D010641:Phenotype; D049268:Positron-Emission Tomography; D011379:Prognosis; D012559:Schizophrenia / Q000175:diagnosis*; D014057:Tomography, X-Ray Computed
chemical_list: D004298:Dopamine