Literature DB >> 17719567

Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression.

Christina L Fales1, Deanna M Barch, Melissa M Rundle, Mark A Mintun, Abraham Z Snyder, Jonathan D Cohen, Jose Mathews, Yvette I Sheline.   

Abstract

BACKGROUND: Major depression is characterized by a negativity bias: an enhanced responsiveness to, and memory for, affectively negative stimuli. However, it is not yet clear whether this bias represents 1) impaired top-down cognitive control over affective responses, potentially linked to deficits in dorsolateral prefrontal cortex function; or 2) enhanced bottom-up responses to affectively laden stimuli that dysregulate cognitive control mechanisms, potentially linked to deficits in amygdala and anterior cingulate function.
METHODS: We used an attentional interference task using emotional distracters to test for top-down versus bottom-up dysfunction in the interaction of cognitive-control circuitry and emotion-processing circuitry. A total of 27 patients with major depression and 24 control participants was tested. Event-related functional magnetic resonance imaging was carried out as participants directly attended to, or attempted to ignore, fear-related stimuli.
RESULTS: Compared with control subjects, patients with depression showed an enhanced amygdala response to unattended fear-related stimuli (relative to unattended neutral). By contrast, control participants showed increased activity in right dorsolateral prefrontal cortex (Brodmann areas 46/9) when ignoring fear stimuli (relative to neutral), which the patients with depression did not show. In addition, the depressed participants failed to show evidence of error-related cognitive adjustments (increased activity in bilateral dorsolateral prefrontal cortex on posterror trials), but the control group did show them.
CONCLUSIONS: These results suggest multiple sources of dysregulation in emotional and cognitive control circuitry in depression, implicating both top-down and bottom-up dysfunction.

Entities:  

Mesh:

Year:  2007        PMID: 17719567      PMCID: PMC2268639          DOI: 10.1016/j.biopsych.2007.06.012

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  44 in total

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2.  Increased amygdala response to masked emotional faces in depressed subjects resolves with antidepressant treatment: an fMRI study.

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3.  Effects of attention and emotion on face processing in the human brain: an event-related fMRI study.

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4.  Anterior cingulate cortex and response conflict: effects of frequency, inhibition and errors.

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5.  Conflict monitoring and cognitive control.

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Authors:  Richard J Davidson; Diego Pizzagalli; Jack B Nitschke; Katherine Putnam
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Review 8.  The organization of networks within the orbital and medial prefrontal cortex of rats, monkeys and humans.

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Journal:  Biol Psychiatry       Date:  2006-10-06       Impact factor: 13.382

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  190 in total

1.  Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus.

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2.  Amygdala response and functional connectivity during emotion regulation: a study of 14 depressed adolescents.

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3.  Enhanced amygdala reactivity to emotional faces in adults reporting childhood emotional maltreatment.

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4.  Functional network dysfunction in anxiety and anxiety disorders.

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Review 6.  The modification of attentional bias to emotional information: A review of the techniques, mechanisms, and relevance to emotional disorders.

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7.  Automatic emotional information processing and the cortisol response to acute psychosocial stress.

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Review 8.  Frontocingulate dysfunction in depression: toward biomarkers of treatment response.

Authors:  Diego A Pizzagalli
Journal:  Neuropsychopharmacology       Date:  2010-09-22       Impact factor: 7.853

9.  The default mode network and self-referential processes in depression.

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10.  Neurochemical differences between target-specific populations of rat dorsal raphe projection neurons.

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Journal:  Brain Res       Date:  2017-09-01       Impact factor: 3.252

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