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@ARTICLE{Saberi:1019709,
author = {Saberi, Amin and Ebneabbasi, Amir and Rahimi, Sama and
Sarebannejad, Sara and Sen, Zumrut Duygu and Graf, Heiko and
Walter, Martin and Sorg, Christian and Camilleri, Julia and
Laird, Angela R. and Fox, Peter T. and Valk, Sofie L. and
Eickhoff, Simon B. and Tahmasian, Masoud},
title = {{C}onvergent functional effects of antidepressants in major
depressive disorder: a neuroimaging meta-analysis},
reportid = {FZJ-2023-05563},
year = {2023},
note = {AS and SLV were funded by the Max Planck Society (Otto Hahn
award) and Helmholtz Association’s Initiative and
Networking Fund under the Helmholtz International Lab grant
agreement InterLabs-0015, and the Canada First Research
Excellence Fund (CFREF Competition 2, 2015–2016) awarded
to the Healthy Brains, Healthy Lives initiative at McGill
University, through the Helmholtz International BigBrain
Analytics and Learning Laboratory (HIBALL). SBE was
supported by the Deutsche Forschungsgemeinschaft (DFG, EI
816/21-1), the National Institute of Mental Health
(R01-MH074457), and the European Union’s Horizon 2020
Research and Innovation Programme under Grant Agreement No.
945539 (HBP SGA3).},
abstract = {Background: Neuroimaging studies have provided valuable
insights into the macroscale impacts of antidepressants on
brain functions in patients with major depressive disorder.
However, the findings of individual studies are
inconsistent. Here, we aimed to provide a quantitative
synthesis of the literature to identify convergence of the
reported findings at both regional and network levels and to
examine their associations with neurotransmitter
systems.Methods: Through a comprehensive search in PubMed
and Scopus databases, we reviewed 5,258 abstracts and
identified 37 eligible functional neuroimaging studies on
antidepressant effects in major depressive disorder.
Activation likelihood estimation was used to investigate
regional convergence of the reported foci of consistent
antidepressant effects, followed by functional decoding and
connectivity mapping of the convergent clusters.
Additionally, utilizing group-averaged data from the Human
Connectome Project, we assessed convergent resting-state
functional connectivity patterns of the reported foci. Next,
we compared the convergent circuit with the circuits
targeted by transcranial magnetic stimulation (TMS) therapy.
Last, we studied the association of regional and
network-level convergence maps with the selected
neurotransmitter receptors/transporters maps.Results: We
found regional convergence of the reported
treatment-associated increases of functional measures in the
left dorsolateral prefrontal cortex, which was associated
with working memory and attention behavioral domains. No
regional convergence was found across foci of alterations in
functional imaging associated with antidepressants.
Moreover, we found network-level convergence of functional
alterations in a circuit that was prominent in the
frontoparietal and salience networks. This circuit was
co-aligned with a circuit targeted by anti-subgenual TMS
therapy. We observed no significant correlations between our
meta-analytic findings with the maps of neurotransmitter
receptors/transporters.Conclusion: Our findings highlight
the importance of the left dorsolateral prefrontal cortex,
as well as frontoparietal network and the salience network
in the therapeutic effects of anti-depressants, possibly
associated with their role in improving executive functions
and emotional processing.},
cin = {INM-7},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5253 - Neuroimaging (POF4-525)},
pid = {G:(DE-HGF)POF4-5253},
typ = {PUB:(DE-HGF)25},
doi = {10.1101/2023.11.24.23298991},
url = {https://juser.fz-juelich.de/record/1019709},
}