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In the ultra-high risk for psychosis (UHR) field, it is unknown whether understanding symptom relationships, beyond symptom severity alone, may hold prognostic value and inform preventive care. In this study, network analysis was performed to examine the interconnections between baseline symptoms in UHR youth who did and did not transition to psychosis over three years.
Methods
In a sample selected from the UHR1000+ cohort, positive and basic symptoms were assessed using the Comprehensive Assessment of At-Risk Mental States. Network analyses and network comparison tests were performed.
Results
195 UHR youth transitioned to psychosis within three years and 346 did not. The two groups did not differ in the network structure, global strength (i.e., the overall level of connectivity between symptoms), or centrality of symptoms (i.e., their importance within networks). The transitioned group was characterized by unusual thought content not being connected to other symptoms; however, its centrality between networks was comparable. Across networks, impaired cognitive functioning connected disorganized speech to impaired emotional functioning, motor functioning, and tolerance to normal stress. Impaired bodily sensation connected perceptual abnormalities to other symptoms.
Conclusions
The networks of youth who transitioned and who did not transition were similar, indicating similar baseline symptom relationships. Across groups, unusual thought content, despite being traditionally associated with transition, had little to no interactions with other symptoms. Clinical manifestations that may need attention include impaired cognitive functioning, which connected several symptoms, and impaired bodily sensation. Future research using time series data may support progress toward individualized care.
This chapter covers the staging evolution of the most important brain functioning impairments, as measured with electroencephalography (EEG), in psychosis spectrum and in severe mood disorders. The current state of the literature demonstrates that although these impairments have been extensively studied in all stages of schizophrenia, the results remain highly inconsistent in bipolar disorder and major depressive disorder, and almost nonexistent for the early stages of these illnesses. Indeed, it is currently impossible to draw any conclusion with regard to the state or trait character of any of the EEG impairments in both major depressive and bipolar disorders. As for psychosis, the most promising staging markers are the pitch mismatch negativity, as well as the P300 event-related potentials, as these components seem to deteriorate with increasing severity of the illness. Longitudinal studies will be necessary to follow the course of the EEG-measured impairments in ‘at-risk’ individuals who are later diagnosed with a severe mental illness. Furthermore, and most importantly, if some of these markers are going to be used as diagnostic tools in the establishment of the stage of a psychotic disorder, a quantifying parameter will need to be identified as well as normal and pathological ranges.
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