Emotional processing subtypes in bipolar disorder: A cluster analysis. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Evidence regarding the performance of Bipolar Disorder patients (BD) on Emotional Processing (EP) is conflicting, suggesting that heterogeneity within this population may exist. It is not completely understood if this impacts on clinical presentation and functional outcomes. METHODS: A total of 212 BD patients were recruited. Patients underwent MATRICS Consensus Cognitive Battery as well as a clinical evaluation to detect premorbid traits, comorbidities and clinical features. Performance on each basic emotion on the Emotional Recognition Task (ERT) and Reading the Mind in the Eyes Test were entered into hierarchical cluster analyses in order to determine the number of clusters and to assign subjects to specific clusters. We then compared subgroups on clinical factors and real-world community functioning. RESULTS: No differences between BD patients as a group and controls were found in EP performance. Two clusters of BD patients were found, one with "intact" performance (71.2%) that performed as healthy controls (HC) and other with "impaired" performance (28.8%) performing worse than HC and schizophrenic patients on basic emotion recognition. Patients in the "impaired group" presented higher rates of childhood trauma, schizotypal traits, lower premorbid IQ and education, poor psychosocial functioning and cognitive performance. LIMITATIONS: Cross-sectional data which limits our ability to infer directionality of our findings. CONCLUSION: These results suggest the presence of two subgroups regarding EP performance with unique clinical and neurodevelopmental profiles associated. Next steps will include using these data to identify a homogeneous group of patients to target these disabling symptoms with treatment.

publication date

  • January 21, 2020

Research

keywords

  • Bipolar Disorder
  • Cognition Disorders

Identity

PubMed Central ID

  • PMC8414557

Scopus Document Identifier

  • 85078679857

Digital Object Identifier (DOI)

  • 10.1016/j.jad.2020.01.082

PubMed ID

  • 32056876

Additional Document Info

volume

  • 266