Facial emotion processing in major depression: a systematic review of neuroimaging findings
17 pages
English

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Facial emotion processing in major depression: a systematic review of neuroimaging findings

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17 pages
English
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Cognitive models of depression suggest that major depression is characterized by biased facial emotion processing, making facial stimuli particularly valuable for neuroimaging research on the neurobiological correlates of depression. The present review provides an overview of functional neuroimaging studies on abnormal facial emotion processing in major depression. Our main objective was to describe neurobiological differences between depressed patients with major depressive disorder (MDD) and healthy controls (HCs) regarding brain responsiveness to facial expressions and, furthermore, to delineate altered neural activation patterns associated with mood-congruent processing bias and to integrate these data with recent functional connectivity results. We further discuss methodological aspects potentially explaining the heterogeneity of results. Methods A Medline search was performed up to August 2011 in order to identify studies on emotional face processing in acutely depressed patients compared with HCs. A total of 25 studies using functional magnetic resonance imaging were reviewed. Results The analysis of neural activation data showed abnormalities in MDD patients in a common face processing network, pointing to mood-congruent processing bias (hyperactivation to negative and hypoactivation to positive stimuli) particularly in the amygdala, insula, parahippocampal gyrus, fusiform face area, and putamen. Furthermore, abnormal activation patterns were repeatedly found in parts of the cingulate gyrus and the orbitofrontal cortex, which are extended by investigations implementing functional connectivity analysis. However, despite several converging findings, some inconsistencies are observed, particularly in prefrontal areas, probably caused by heterogeneities in paradigms and patient samples. Conclusions Further studies in remitted patients and high-risk samples are required to discern whether the described abnormalities represent state or trait characteristics of depression.

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Publié le 01 janvier 2011
Nombre de lectures 17
Langue English

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Stuhrmann et al . Biology of Mood & Anxiety Disorders 2011, 1 :10 http://www.biolmoodanxietydisord.com/content/1/1/10
Biology of Mood & Anxiety Disorders
R E S E A R C H Open Access Facial emotion processing in major depression: a systematic review of neuroimaging findings Anja Stuhrmann 1 , Thomas Suslow 1,2 and Udo Dannlowski 1*
Abstract Background: Cognitive models of depression suggest that major depression is characterized by biased facial emotion processing, making facial stimuli particularly valuable for neuroimaging research on the neurobiological correlates of depression. The present review provides an overview of functional neuroimaging studies on abnormal facial emotion processing in major depression. Our main objective was to describe neurobiological differences between depressed patients with major depressive disorder (MDD) and healthy controls (HCs) regarding brain responsiveness to facial expressions and, furthermore, to delineate altered neural activation patterns associated with mood-congruent processing bias and to integrate these data with recent functional connectivity results. We further discuss methodological aspects potentially explaining the heterogeneity of results. Methods: A Medline search was performed up to August 2011 in order to identify studies on emotional face processing in acutely depressed patients compared with HCs. A total of 25 studies using functional magnetic resonance imaging were reviewed. Results: The analysis of neural activation data showed abnormalities in MDD patients in a common face processing network, pointing to mood-congruent processing bias (hyperactivation to negative and hypoactivation to positive stimuli) particularly in the amygdala, insula, parahippocampal gyrus, fusiform face area, and putamen. Furthermore, abnormal activation patterns were repeatedly found in parts of the cingulate gyrus and the orbitofrontal cortex, which are extended by investigations implementing functional connectivity analysis. However, despite several converging findings, some inconsistencies are observed, particularly in prefrontal areas, probably caused by heterogeneities in paradigms and patient samples. Conclusions: Further studies in remitted patients and high-risk samples are required to discern whether the described abnormalities represent state or trait characteristics of depression. Keywords: Facial emotion processing, fMRI, neuroimaging, depression, emotion, amygdala, anterior cingulate, orbi-tofrontal cortex, functional connectivity
Background studies, depression has been characterized by mood con-Major depression ranks among the most debilitating dis- gruent emotion processing bia ses in different aspects of eases worldwide and is estimated to produce the second cognition [2-5]. Apparently, these cognitive biases have largest disease burden by the year 2020 [1]. Despite an been reported to be particularly prominent for emo-increasing amount of empiri cal studies investigating tional faces. Depressed patients seem to be less sensitive abnormalities in affective processing in unipolar depres- in the identification of emotional faces and, in addition, sion, understanding the neurobiological underpinnings a negative response bias was found: they tend to inter-is still a major research goal and is essential for novel pret neutral faces as sad and happy faces as neutral (for treatment developments. In a large body of behavioral review see [6,7]). While negative faces seem to be processed more de rapidly and deeply, processin g of positive facial expres-* 1 UCnoirvreerssiptoynodfenMcüen:stUedr,o.DDeapnanrltomwesnkit@oufkPmsyucehnisatterry.,Albert-Schweitzer-Campus sions appears to be impaired [8-10]. Furthermore, beha-1, Building, A9, 48149 Münster, Germany vioral biases towards sad faces seem to persist even after Full list of author information is available at the end of the article © 2011 Stuhrmann et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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