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Psychosis spectrum represents an umbrella of debilitating brain disorders affecting millions of lives. Due to their substantial neurobiological heterogeneity, complex neuropsychiatric disorders such as schizophrenia spectrum and bipolar disorder have major challenges when it comes to prognosis, diagnosis, and ...

Psychosis spectrum represents an umbrella of debilitating brain disorders affecting millions of lives. Due to their substantial neurobiological heterogeneity, complex neuropsychiatric disorders such as schizophrenia spectrum and bipolar disorder have major challenges when it comes to prognosis, diagnosis, and treatment. Thus, there is an urgent and unmet need for biomarkers that are reliable, consistent, and reproducible and are capable of providing an objective layer of appraisal to aid the diagnostic decision, inform disease staging or severity, predict the course of illness, or describe distinguishing biological features that could advise personalized treatment. Brain-based biomarkers, such as neuroimaging and electrophysiology, are prime candidates to provide this layer of objective assessment.

The problem we are addressing through this Research Topic is the subjectivity of diagnosis/prognosis in psychiatry, specifically in the psychosis spectrum. The goal of this Research Topic is to highlight objective brain-based biomarkers, especially neuroimaging or electrophysiology, as diagnostic and/or prognostic biomarkers that have the potential of identifying disorder-specific brain signatures. This can then be used for the purpose of aiding diagnosis, providing predictive prognostic value, or forming the basis of biological targets that could inform personalized therapeutic interventions.

We welcome manuscripts that look at, neuroimaging or electrophysiology diagnostic and/or prognostic biomarkers coupled with genetic, genomic, molecular, clinical, computational, or cognitive aspects of individuals who are at clinical high risk for psychosis, first episode psychosis, schizophrenia, schizoaffective disorder and/or bipolar disorder.

Keywords: Schizophrenia, Psychosis, Bipolar Disorder, Neuroimaging, Electrophysiology, Biomarkers


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