کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10298139 | 539139 | 2013 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Prediction of antidepressant treatment response from gray matter volume across diagnostic categories
ترجمه فارسی عنوان
پیش بینی پاسخ درمان ضد افسردگی از حجم ماده خاکستری در مقیاس های تشخیصی
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کلمات کلیدی
افسردگی، تصویربرداری رزونانس مغناطیسی ساختاری، مورفومتری مبتنی بر وکسل، پاسخ درمان، هیپوکامپ، قشر زرد قشر، بیومارکر،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
روانپزشکی بیولوژیکی
چکیده انگلیسی
Dysfunctional limbic, paralimbic and prefrontal brain circuits represent neural substrates of major depression that are targeted by pharmacotherapy. In a high resolution structural magnetic resonance imaging (MRI) study we investigated the potential of variability of the cortex volume to predict the response to antidepressant treatment among patients with major depression. We enrolled 167 patients participating in the Munich Antidepressant Response Signature (MARS) study and employed voxel based morphometry to investigate covariation of gray matter (GM) maps with changes of depression severity over 5 weeks. Larger left hippocampal and bilateral posterior cingulate GM volumes and lower right temporolateral GM volumes were associated with beneficial treatment response. Subcallosal/orbitofrontal GM volumes were associated with treatment response mainly through gender-by-region interactions. A hippocampal/temporolateral composite marker proved robust in both first episode and recurrent unipolar patients and in bipolar patients. Compared with 92 healthy controls, abnormally low volumes were only detected in the left hippocampal area, particularly in recurrent unipolar patients. These findings indicate that variability of the cortex volume of specific brain areas is associated with different response to antidepressants. In addition, hippocampal findings recursively link together unfavorable treatment response and progressive hippocampal structural changes in recurrent depression.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Neuropsychopharmacology - Volume 23, Issue 11, November 2013, Pages 1503-1515
Journal: European Neuropsychopharmacology - Volume 23, Issue 11, November 2013, Pages 1503-1515
نویسندگان
Philipp G. Sämann, David Höhn, Natalya Chechko, Stefan Kloiber, Susanne Lucae, Marcus Ising, Florian Holsboer, Michael Czisch,