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    Functional connectivity of emotional processing in depression.

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    Authors
    Carballedo, Angela
    Scheuerecker, Johanna
    Meisenzahl, Eva
    Schoepf, Veronika
    Bokde, Arun
    Moller, Hans-Jurgen
    Doyle, Myles
    Wiesmann, Martin
    Frodl, Thomas
    Affiliation
    Discipline of Psychiatry, School of Medicine & Trinity College Institute of, Neuroscience, Integrated Neuroimaging, Trinity Academic Medical Centre, The, Adelaide and Meath Hospital incorporating the National Children's Hospital, & St , James's Hospital, Trinity College, Dublin, Ireland. carbala@tcd.ie
    Issue Date
    2012-02-01T10:48:25Z
    MeSH
    Adult
    Amygdala/pathology/physiopathology
    Brain/pathology/physiology/*physiopathology
    Brain Mapping
    Case-Control Studies
    Cerebral Cortex/pathology/physiopathology
    Depression
    Depressive Disorder, Major/pathology/*physiopathology
    Emotions/*physiology
    Female
    Frontal Lobe/pathology/physiopathology
    Gyrus Cinguli/pathology/physiopathology
    Humans
    Magnetic Resonance Imaging
    Male
    Middle Aged
    Models, Theoretical
    *Nerve Net
    Prefrontal Cortex/pathology/physiopathology
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    Citation
    J Affect Disord. 2011 Nov;134(1-3):272-9. Epub 2011 Jul 14.
    Journal
    Journal of affective disorders
    URI
    http://hdl.handle.net/10147/207863
    DOI
    10.1016/j.jad.2011.06.021
    PubMed ID
    21757239
    Abstract
    OBJECTIVES: The aim of the study is to map a neural network of emotion processing and to identify differences in major depression compared to healthy controls. It is hypothesized that intentional perception of emotional faces activates connections between amygdala (Demir et al.), orbitofrontal cortex (OFC), anterior cingulate cortex (ACC) and prefrontal cortex (PFC) and that frontal-amygdala connections are altered in major depressive disorder (MDD). METHODS: Fifteen medication-free patients with MDD and fifteen healthy controls were enrolled. All subjects were assessed using the same face-matching functional Magnetic Resonance Imaging (fMRI) task, known to involve those areas. Brain activations were obtained using Statistical Parametric Mapping version 5 (SPM5) for data analysis and MARSBAR for extracting of fMRI time series. Then data was analyzed using structural equation modeling (SEM). RESULTS: A valid model was established for the left and the right hemispheres showing a circuit involving ACC, OFC, PFC and AMY. The left hemisphere shows significant lower connectivity strengths in patients than controls, for the pathway that goes from AMY to the OF11, and a trend of higher connectivity in patients for the path that goes from the PF9 to the OF11. In the right hemisphere, patients show lower connectivity coefficients in the paths from the AMY to OF11, from the AMY to ACC, and from the ACC to PF9. By the contrary, controls show lower connectivity strengths for the path that goes from ACC to AMY. CONCLUSIONS: Functional disconnection between limbic and frontal brain regions could be demonstrated using structural equation modeling. The interpretation of these findings could be that there is an emotional processing bias with disconnection bilaterally between amygdala to orbitofrontal cortices and in addition a right disconnection between amygdala and ACC as well as between ACC and prefrontal cortex possibly in line with a more prominent role for the right hemisphere in emotion processing.
    Language
    eng
    ISSN
    1573-2517 (Electronic)
    0165-0327 (Linking)
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jad.2011.06.021
    Scopus Count
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    Tallaght University Hospital

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