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@ARTICLE{Li:910727,
author = {Li, Changhong and Hu, Quanling and Zhang, Delong and
Hoffstaedter, Felix and Bauer, Andreas and Elmenhorst,
David},
title = {{N}eural correlates of affective control regions induced by
common therapeutic strategies in major depressive disorders:
{A}n activation likelihood estimation meta-analysis study},
journal = {Neuroscience $\&$ biobehavioral reviews},
volume = {137},
issn = {0149-7634},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2022-04097},
pages = {104643 -},
year = {2022},
note = {Kein Post-print vorhanden},
abstract = {In 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.},
cin = {INM-7 / INM-2},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-2-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525) / 5253 - Neuroimaging (POF4-525) / 5252 - Brain
Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF4-5251 / G:(DE-HGF)POF4-5253 /
G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)16},
pubmed = {35367222},
UT = {WOS:000821893800011},
doi = {10.1016/j.neubiorev.2022.104643},
url = {https://juser.fz-juelich.de/record/910727},
}