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Abnormal Amygdala-Prefrontal Effective Connectivity to Happy Faces Differentiates Bipolar from Major Depression

  • Jorge Renner Cardoso de Almeida
  • , Amelia Versace
  • , Andrea Mechelli
  • , Stefanie Hassel
  • , Karina Quevedo
  • , David Jerome Kupfer
  • , Mary Louise Phillips

Research output: Contribution to journal › Article › peer-review

Abstract

Background: Bipolar disorder is frequently misdiagnosed as major depressive disorder, delaying appropriate treatment and worsening outcome for many bipolar individuals. Emotion dysregulation is a core feature of bipolar disorder. Measures of dysfunction in neural systems supporting emotion regulation might therefore help discriminate bipolar from major depressive disorder. Methods: Thirty-one depressed individuals-15 bipolar depressed (BD) and 16 major depressed (MDD), DSM-IV diagnostic criteria, ages 18-55 years, matched for age, age of illness onset, illness duration, and depression severity-and 16 age- and gender-matched healthy control subjects performed two event-related paradigms: labeling the emotional intensity of happy and sad faces, respectively. We employed dynamic causal modeling to examine significant among-group alterations in effective connectivity (EC) between right- and left-sided neural regions supporting emotion regulation: amygdala and orbitomedial prefrontal cortex (OMPFC). Results: During classification of happy faces, we found profound and asymmetrical differences in EC between the OMPFC and amygdala. Left-sided differences involved top-down connections and discriminated between depressed and control subjects. Furthermore, greater medication load was associated with an amelioration of this abnormal top-down EC. Conversely, on the right side the abnormality was in bottom-up EC that was specific to bipolar disorder. These effects replicated when we considered only female subjects. Conclusions: Abnormal, left-sided, top-down OMPFC-amygdala and right-sided, bottom-up, amygdala-OMPFC EC during happy labeling distinguish BD and MDD, suggesting different pathophysiological mechanisms associated with the two types of depression.

Original languageEnglish (US)
Pages (from-to)451-459
Number of pages9
JournalBiological Psychiatry
Volume66
Issue number5
DOIs
StatePublished - Sep 1 2009

Bibliographical note

Funding Information:
Dr. Phillips reports having support from National Alliance for Research on Schizophrenia and Depression (NARSAD) Independent Investigator Award and 5R01 MH076971-01. Dr. Almeida reports having support from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Foundation (#190105-2). Dr. Hassel reports having support from NARSAD. Dr. Mechelli, Dr. Versace, Dr. Quevedo and Dr. Kupfer reported no biomedical financial interests or potential conflicts of interest.

Keywords

  • Amygdala
  • bipolar disorder
  • dynamic causal modeling
  • fMRI
  • major depression disorder
  • orbitomedial prefrontal cortex

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