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000910727 0247_ $$2doi$$a10.1016/j.neubiorev.2022.104643
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000910727 1001_ $$0P:(DE-Juel1)174035$$aLi, Changhong$$b0
000910727 245__ $$aNeural correlates of affective control regions induced by common therapeutic strategies in major depressive disorders: An activation likelihood estimation meta-analysis study
000910727 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2022
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000910727 520__ $$aIn major depressive disorder (MDD), not only the pathophysiology of this disease is unknown but also the mechanisms of clinical efficacy across its therapeutic strategies are unclear. Although neuroimaging studies adopted activation likelihood estimation (ALE) approach to identify the convergent abnormalities of human brain in the MDD patients, the common alterations after antidepressant therapies were not summarized. Thus, we extracted the coordinates of brain regions in the MDD patients that showed differences in resting-state function, gray matter morphometry, and task-evoked neuronal responses after therapies. The ALE algorithm (GingerALE2.0.3) was employed in all 53 studies (64 experiments with 1406 MDD patients). Consistent results across treatment therapies were reported in the affective control network, including the bilateral thalamus, bilateral amygdala/parahippocampal gyrus, right anterior cingulate cortex/middle frontal gyrus, and right insular cortex/claustrum. Only electroconvulsive therapy partially replicated above findings. Our results indicate the antidepressant therapies efficiently influence core structures of the affective control network, which might be the underlying mechanism of remission in depression and provides potential targets for further treatment strategies.
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000910727 7001_ $$0P:(DE-HGF)0$$aHu, Quanling$$b1
000910727 7001_ $$0P:(DE-HGF)0$$aZhang, Delong$$b2
000910727 7001_ $$0P:(DE-Juel1)131684$$aHoffstaedter, Felix$$b3$$ufzj
000910727 7001_ $$0P:(DE-Juel1)131672$$aBauer, Andreas$$b4$$ufzj
000910727 7001_ $$0P:(DE-Juel1)131679$$aElmenhorst, David$$b5$$eCorresponding author$$ufzj
000910727 773__ $$0PERI:(DE-600)1498433-7$$a10.1016/j.neubiorev.2022.104643$$gVol. 137, p. 104643 -$$p104643 -$$tNeuroscience & biobehavioral reviews$$v137$$x0149-7634$$y2022
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