Neuroimaging and treatment evidence for clinical staging in psychotic disorders: From the at-risk mental state to chronic schizophrenia

Stephen J. Wood, Alison R. Yung, Patrick D. McGorry, Christos Pantelis

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A new approach to understanding severe mental disorders such as schizophrenia is to adopt a clinical staging model. Such a model defines the extent of the illness such that earlier and milder phenomena are distinguished from later, more impairing features. Specifically, a clinical staging model makes three key predictions. First, pathologic measures should be more abnormal in more severe stages. Second, patients who progress between the stages should show change in these same pathologic measures. Finally, treatment should be more effective in the earlier stages, as well as more benign. In this article, we review the evidence for these three predictions from studies of psychotic disorders, with a focus on neuroimaging data. For all three, the balance of evidence supports the predictions of the staging model. However, there are a number of alternative explanations for these findings, including the effects of medication and symptom heterogeneity. © 2011 Society of Biological Psychiatry.
    Original languageEnglish
    Pages (from-to)619-625
    Number of pages6
    JournalBiological Psychiatry
    Volume70
    Issue number7
    DOIs
    Publication statusPublished - 1 Oct 2011

    Keywords

    • Clinical staging
    • diagnosis
    • neuroimaging
    • psychosis
    • schizophrenia
    • treatment

    Fingerprint

    Dive into the research topics of 'Neuroimaging and treatment evidence for clinical staging in psychotic disorders: From the at-risk mental state to chronic schizophrenia'. Together they form a unique fingerprint.

    Cite this