Brain imaging studies in schizophrenia have typically involved single assessment and cross-sectional designs, while longitudinal studies rarely incorporate more than two time points. While informative, these studies do not adequately capture potential trajectories of neurobiological change, particularly in the context of a changing clinical picture. We propose that the analysis of brain trajectories using multiple time points may inform our understanding of the illness and the effect of treatment. This paper makes the case for frequent serial neuroimaging across the course of schizophrenia psychoses and its application to active illness epsiodes to provide a detailed examination of psychosis relapse and remission.
First published online 22 May 2014Key words: Biomarkers, brain trajectories, inflammation, neurodevelopment, neuroimaging, psychosis relapse, psychosis remission.Over the past three decades, there has been much effort towards identifying neurobiological abnormalities in schizophrenia. Part of the appeal of neuroimaging is that it bridges the gap between psychiatry and the rest of medicine, and offers the potential for applying objective biological markers (biomarkers), rather than clinical history alone, to the diagnosis and clinical management of the illness. Nevertheless, despite three decades of research, neuroimaging has been limited in the extent to which it has improved our understanding of the pathophysiology of schizophrenia and is yet to have a major impact clinically.The large bulk of neuroimaging studies in schizophrenia and psychosis have involved cross-sectional comparisons between patients at various illness stages and healthy controls at a single point in time. Such studies have typically assessed regional grey matter or whole brain volume, although more recent studies have examined functional (i.e., functional magnetic resonance imaging (fMRI)) and neurochemical alterations including in N-acetyl-aspartate (NAA) (Kraguljac et al. 2012), glutamate (GLU) and dopamine (Urban & Abi-Dargham, 2010). Although abnormalities in these systems have been identified, the use of single assessments provides a simple snapshot in time and ignores the importance of the trajectory of change ). The importance of assessing the course of change is illustrated in Fig. 1a, in three hypothetical neurobiological (e.g., cognitive, imaging) outcomes (figure modified from Testa & Pantelis, 2009). For instance, patients and controls may not differ on a cognitive or neuroimaging outcome at a particular time point, despite each having a distinct developmental course (e.g., lag, arrest, degeneration). Furthermore, the timing of the imaging scan may influence the degree of difference in a neuroimaging outcome between patients and controls. Although individuals may follow the same 'course', they could have very different outcomes if they were all assessed at various points along their trajectory. We suggest that the analysis of brain trajectories may be more informative in delineating different populations of individuals ...