Objective: Despite growing evidence in the field of cognitive function in mood disorders, the neurocognitive profiles of patients with unipolar and bipolar depression still need further characterization. In this study, we applied network analysis, hypothesizing this approach could highlight differences between Major Depressive Disorder (MDD) and Bipolar Disorder (BD) from a cognitive perspective. Methods: The cognitive performance of 109 patients (72 unipolar and 37 bipolar depressed outpatients) was assessed through the Montreal Cognitive Assessment (MoCA) and a series of clinical variables was collected. Differences in cognitive performance between MDD and BD patients were tested using non parametric tests. Moreover, a network graph representing MoCA domains as nodes and Spearman's rho correlation coefficients between the domains as edges was constructed for each group. Results: The presence of mild cognitive impairment was observed both in MDD and BD patients during depression. No statistical significant difference was found between the two groups in terms of overall cognitive performance and across single domains. Nonetheless, network analytic metrics demonstrated different roles of memory and executive dysfunction in MDD vs BD patients: in particular, MDD network was more densely interconnected than BD network and memory was the node with the highest betweenness and closeness centrality in MDD, while executive function was more central in BD.
Conclusions:From a network analytic perspective, memory impairment displays a central role in the cognitive impairment of patients with unipolar depression, whereas executive dysfunction appears to be more central in bipolar depression. Further research is warranted to confirm our results.
Background: Work functioning impairment is a key diagnostic and transnosographic criterion for psychiatric disorders in both DSM-5 and ICD-11. Occupational inclusion is a fundamental aspect of the care path for patients attending the territorial services provided by the Italian Mental Health and Addiction Departments (DSMDs). Since 2009, the Regional Innovative Programme (PIR) TR106, promoted by the Fatebenefratelli-Sacco hospital of Milan, Italy, in collaboration with six other metropolitan DSMDs, was created to promote integration for people suffering from mental health problems in the city of Milan. Method: Here we present the results of a retrospective epidemiologic analysis on 2,142 interventions on 1,066 patients, conducted between 2012 and 2019. Results: Most of the interventions were conducted with people with psychotic disorders (39%), followed by personality disorders (25.2%) and affective disorders (22.2%). The age range of 25 to 54 years represented 91.5% of the whole sample, mainly in the 35 to 44 years range (36.4%). Significant age group-related changes in interventions were observed in the observation period, with a reduction in the interventions provided to subjects of the 35 to 44 age group, and an increase in the 25 to 34 age group. Conclusions: PIR TR106 provided the most accurate assessment and data collection so far for the city of Milan. Our data characterised psychiatric groups in order to develop specific treatment plans and work inclusion interventions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.