Trajectories of Cognitive Function in First-Episode Psychosis: Associations to Clinical Outcomes and Biological Markers
Lee, M.; Cullen, A. E.; Matheson, G. J.; Lu, Z.-A.; Bergen, S. E.; Sellgren, C. M.; Erhardt, S.; Fatouros-Bergman, H.; Cervenka, S.
Show abstract
AimsCognitive dysfunction in psychotic disorders is common. At disorder onset, this impairment varies greatly between individuals, which may reflect different levels of decline compared to pre-morbid levels. Diverse trajectories in cognitive change prior to psychosis onset have been hypothesized to represent different underlying pathological processes. Our primary aim was to model cognitive change over time in a sample of individuals with first-episode psychosis (FEP) and controls. The secondary aim was to explore whether cognitive change was associated with clinical outcomes, and biological markers that have shown associations with disease progression. MethodsOur sample consisted of 73 individuals with FEP who had undergone cognitive assessment at psychosis onset and 53 controls. Using school grades from registry data as a proxy for pre-morbid cognitive ability, we modelled change in cognition using linear mixed-effects models. The resulting change scores were correlated to polygenic risk scores, cerebrospinal fluid levels of complement protein C4A and clinical outcomes. Results and ConclusionsGroups did not differ in school performance prior to psychosis. Psychosis onset was associated with a large cognitive decline in FEP and thereafter they performed significantly worse than controls. Among FEP individuals, there was a large degree of variability in cognitive change leading up to psychosis onset. Degree of cognitive change was not associated to the selected biological variables but did predict worse clinical outcomes. The results indicate that individual cognitive trajectories may be a clinically relevant topic for further study, but given the exploratory nature of the analysis, replication in an independent sample is required.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Central oxidative stress and early vocational outcomes in first episode psychosis: A 7-Tesla Magnetic Resonance Spectroscopy study of glutathione 97%
- Increased Prevalence of Rare Copy Number Variants in Treatment-Resistant Psychosis 97%
- Altered sex differences in hippocampal subfield volumes in schizophrenia 96%
Similar papers in this journal
- Assessing the validity of a self-reported clinical diagnosis of schizophrenia 97%
- Progressive changes in descriptive discourse in First Episode of Schizophrenia: A longitudinal computational semantics study 96%
- Altered white matter microstructure of language pathways and semantic cognition deficiencies in early psychosis 95%
Similar papers in this journal
- Molecular phenotypes associated with antipsychotic drugs in the human caudate nucleus 95%
- Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis 95%
- Interrelations Between Dopaminergic-, GABAergic- and Glutamatergic Neurotransmitters in Antipsychotic-Naïve Psychosis Patients and the Association to Initial Treatment Response 95%
Similar papers in this journal
- Evaluating the role of common risk variation in the recurrence risk of schizophrenia in multiplex schizophrenia families 96%
- Schizophrenia Polygenic Risk Score and 20-Year Course of Illness in Psychotic Disorders 96%
- Pairwise genetic meta-analyses between schizophrenia and substance dependence phenotypes reveals novel association signals 96%
Similar papers in this journal
- Dopamine D1 receptor availability is not associated with delusional ideation measures of psychosis proneness 95%
- Clinical Characteristics Associated with Functional Seizures in Individuals with Psychosis 95%
- Childhood Inflammatory Markers and Risks for Psychosis and Depression at Age 24: examination of temporality and specificity of association in a population-based prospective birth cohort 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.