001019709 001__ 1019709
001019709 005__ 20240226075520.0
001019709 0247_ $$2doi$$a10.1101/2023.11.24.23298991
001019709 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-05563
001019709 037__ $$aFZJ-2023-05563
001019709 1001_ $$0P:(DE-Juel1)190448$$aSaberi, Amin$$b0
001019709 245__ $$aConvergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis
001019709 260__ $$c2023
001019709 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint$$s1706687292_12252
001019709 3367_ $$2ORCID$$aWORKING_PAPER
001019709 3367_ $$028$$2EndNote$$aElectronic Article
001019709 3367_ $$2DRIVER$$apreprint
001019709 3367_ $$2BibTeX$$aARTICLE
001019709 3367_ $$2DataCite$$aOutput Types/Working Paper
001019709 500__ $$aAS 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).
001019709 520__ $$aBackground: 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.
001019709 536__ $$0G:(DE-HGF)POF4-5253$$a5253 - Neuroimaging (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001019709 588__ $$aDataset connected to CrossRef
001019709 7001_ $$0P:(DE-HGF)0$$aEbneabbasi, Amir$$b1
001019709 7001_ $$0P:(DE-Juel1)200160$$aRahimi, Sama$$b2
001019709 7001_ $$0P:(DE-HGF)0$$aSarebannejad, Sara$$b3
001019709 7001_ $$0P:(DE-HGF)0$$aSen, Zumrut Duygu$$b4
001019709 7001_ $$0P:(DE-HGF)0$$aGraf, Heiko$$b5
001019709 7001_ $$0P:(DE-HGF)0$$aWalter, Martin$$b6
001019709 7001_ $$0P:(DE-HGF)0$$aSorg, Christian$$b7
001019709 7001_ $$0P:(DE-Juel1)172024$$aCamilleri, Julia$$b8
001019709 7001_ $$0P:(DE-HGF)0$$aLaird, Angela R.$$b9
001019709 7001_ $$0P:(DE-HGF)0$$aFox, Peter T.$$b10
001019709 7001_ $$0P:(DE-Juel1)173843$$aValk, Sofie L.$$b11
001019709 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon B.$$b12
001019709 7001_ $$0P:(DE-Juel1)188400$$aTahmasian, Masoud$$b13$$eCorresponding author
001019709 773__ $$a10.1101/2023.11.24.23298991
001019709 8564_ $$uhttps://www.medrxiv.org/content/10.1101/2023.11.24.23298991v1.full-text
001019709 8564_ $$uhttps://juser.fz-juelich.de/record/1019709/files/2023.11.24.23298991v1.full.pdf$$yOpenAccess
001019709 8564_ $$uhttps://juser.fz-juelich.de/record/1019709/files/2023.11.24.23298991v1.full.gif?subformat=icon$$xicon$$yOpenAccess
001019709 8564_ $$uhttps://juser.fz-juelich.de/record/1019709/files/2023.11.24.23298991v1.full.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001019709 8564_ $$uhttps://juser.fz-juelich.de/record/1019709/files/2023.11.24.23298991v1.full.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001019709 8564_ $$uhttps://juser.fz-juelich.de/record/1019709/files/2023.11.24.23298991v1.full.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001019709 909CO $$ooai:juser.fz-juelich.de:1019709$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001019709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)190448$$aForschungszentrum Jülich$$b0$$kFZJ
001019709 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)190448$$a Otto Hahn Research Group for Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig$$b0
001019709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)200160$$aForschungszentrum Jülich$$b2$$kFZJ
001019709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172024$$aForschungszentrum Jülich$$b8$$kFZJ
001019709 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)172024$$a HHU Düsseldorf$$b8
001019709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)173843$$aForschungszentrum Jülich$$b11$$kFZJ
001019709 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)173843$$a Otto Hahn Research Group for Cognitive Neurogenetics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig$$b11
001019709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131678$$aForschungszentrum Jülich$$b12$$kFZJ
001019709 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b12
001019709 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)188400$$aForschungszentrum Jülich$$b13$$kFZJ
001019709 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5253$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001019709 9141_ $$y2023
001019709 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001019709 920__ $$lyes
001019709 9201_ $$0I:(DE-Juel1)INM-7-20090406$$kINM-7$$lGehirn & Verhalten$$x0
001019709 980__ $$apreprint
001019709 980__ $$aVDB
001019709 980__ $$aUNRESTRICTED
001019709 980__ $$aI:(DE-Juel1)INM-7-20090406
001019709 9801_ $$aFullTexts