Almeida, Jorge Renner Cardoso de, Versace, Amelia, Mechelli, Andrea, Hassel, Stefanie, Quevedo, Karina, Kupfer, David Jerome and Phillips, Mary Louise 2009. Abnormal amygdala-prefrontal effective connectivity to happy faces differentiates bipolar from major depression. Biological psychiatry 66 (5) , pp. 451-459. 10.1016/j.biopsych.2009.03.024 |
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.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine |
Subjects: | R Medicine > R Medicine (General) R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
Uncontrolled Keywords: | Amygdala; bipolar disorder; dynamic causal modeling; fMRI; major depression disorder; orbitomedial prefrontal cortex |
Publisher: | Elsevier |
ISSN: | 0006-3223 |
Last Modified: | 19 Mar 2016 22:41 |
URI: | https://orca.cardiff.ac.uk/id/eprint/23825 |
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