The network structure of cognitive deficits in first episode psychosis patients.

Network analysis is an important conceptual and analytical approach in mental health research. However, few studies have used network analysis to examine the structure of cognitive performance in psychotic disorders. We examined the network structure of the cognitive scores of a sample of 207 first-episode psychosis (FEP) patients and 188 healthy controls. Participants were assessed using a battery of 10 neuropsychological tests. Fourteen cognitive scores encompassing six cognitive domains and premorbid IQ were selected to perform the network analysis. Many similarities were found in the network structure of FEP patients and healthy controls. Verbal memory, attention, working memory and executive function nodes were the most central nodes in the network. Nodes in both groups corresponding to the same tests tended to be strongly connected. Verbal memory, attention, working memory and executive function were central dimensions in the cognitive network of FEP patients and controls. These results suggest that the interplay between these core dimensions is essential for demands to solve complex tasks, and these interactions may guide the aims of cognitive rehabilitation. Network analysis of cognitive dimensions might have therapeutic implications that deserve further research.

The Role of Premorbid IQ and Age of Onset as Useful Predictors of Clinical, Functional Outcomes, and Recovery of Individuals with a First Episode of Psychosis.

BACKGROUND: premorbid IQ (pIQ) and age of onset are predictors of clinical severity and long-term functioning after a first episode of psychosis. However, the additive influence of these variables on clinical, functional, and recovery rates outcomes is largely unknown. METHODS: we characterized 255 individuals who have experienced a first episode of psychosis in four a priori defined subgroups based on pIQ (low pIQ < 85; average pIQ ≥ 85) and age of onset (early onset < 18 years; adult onset ≥ 18 years). We conducted clinical and functional assessments at baseline and at two-year follow-up. We calculated symptom remission and recovery rates using the Positive and Negative Symptoms of Schizophrenia Schedule (PANSS) and the Global Assessment Functioning (GAF or Children-GAF). We examined clinical and functional changes with pair-wise comparisons and two-way mixed ANOVA. We built hierarchical lineal and logistic regression models to estimate the predictive value of the independent variables over functioning or recovery rates. RESULTS: early-onset patients had more severe positive symptoms and poorer functioning than adult-onset patients. At two-year follow-up, only early-onset with low pIQ and adult-onset with average pIQ subgroups differed consistently, with the former having more negative symptoms (d = 0.59), poorer functioning (d = 0.82), lower remission (61% vs. 81.1%), and clinical recovery (34.1% vs. 62.2%). CONCLUSIONS: early-onset individuals with low pIQ may present persistent negative symptoms, lower functioning, and less recovery likelihood at two-year follow-up. Intensive cognitive and functional programs for these individuals merit testing to improve long-term recovery rates in this subgroup.