| Literature DB >> 32409261 |
Filippo Corponi1, Gerard Anmella2, Norma Verdolini2, Isabella Pacchiarotti2, Ludovic Samalin3, Dina Popovic4, Jean-Michel Azorin5, Jules Angst6, Charles L Bowden7, Sergey Mosolov8, Allan H Young9, Giulio Perugi10, Eduard Vieta11, Andrea Murru2.
Abstract
Major Depressive Episode (MDE) is a transdiagnostic nosographic construct straddling Major Depressive (MDD) and Bipolar Disorder (BD). Prognostic and treatment implications warrant a differentiation between these two disorders. Network analysis is a novel approach that outlines symptoms interactions in psychopathological networks. We investigated the interplay among depressive and mixed symptoms in acutely depressed MDD/BD patients, using a data-driven approach. We analyzed 7 DSM-IV-TR criteria for MDE and 14 researched-based criteria for mixed features (RBDC) in 2758 acutely depressed MDD/BD patients from the BRIDGE-II-Mix study. The global network was described in terms of symptom thresholds and symptom centrality. Symptom endorsement rates were compared across diagnostic subgroups. Subsequently, MDD/BD differences in symptom-network structure were examined using permutation-based network comparison test. Mixed symptoms were the most central and highly interconnected nodes in the network, particularly agitation followed by irritability. Despite mixed symptoms, appetite gain and hypersomnia were significantly more endorsed in BD patients, associations between symptoms were highly correlated across MDD/BD (Spearman's r = 0.96, p<0.001). Network comparison tests showed no significant differences among MDD/BD in network strength, structure, or specific edges, with strong edges correlations (0.66-0.78). Upstream differences in MDD/BD may produce similar symptoms networks downstream during acute depression. Yet, mixed symptoms, appetite gain and hypersomnia are associated to BD rather than MDD. Symptoms during mixed-MDE might aggregate according to 2 different clusters, suggesting a possible stratification within mixed states. Future symptom-based studies should implement clinical, longitudinal, and biological factors, in order to establish tailored therapeutic strategies for acute depression.Entities:
Keywords: Bipolar disorder; Cross-disorder; Depression; Mixed features; Network analysis
Year: 2020 PMID: 32409261 DOI: 10.1016/j.euroneuro.2020.03.017
Source DB: PubMed Journal: Eur Neuropsychopharmacol ISSN: 0924-977X Impact factor: 4.600