Neural correlates of affective control regions induced by common therapeutic strategies in major depressive disorders: An activation likelihood estimation meta-analysis study.
Activation likelihood estimation
Antidepressant therapies
Major depressive disorder
Neuroimaging
Journal
Neuroscience and biobehavioral reviews
ISSN: 1873-7528
Titre abrégé: Neurosci Biobehav Rev
Pays: United States
ID NLM: 7806090
Informations de publication
Date de publication:
06 2022
06 2022
Historique:
received:
28
01
2022
revised:
26
03
2022
accepted:
27
03
2022
pubmed:
4
4
2022
medline:
24
5
2022
entrez:
3
4
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35367222
pii: S0149-7634(22)00132-4
doi: 10.1016/j.neubiorev.2022.104643
pii:
doi:
Substances chimiques
Antidepressive Agents
0
Types de publication
Journal Article
Meta-Analysis
Review
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
104643Informations de copyright
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