{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T10:40:27Z","timestamp":1780483227317,"version":"3.54.1"},"reference-count":65,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T00:00:00Z","timestamp":1654041600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neuroscience & Biobehavioral Reviews"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1016\/j.neubiorev.2022.104643","type":"journal-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T01:45:26Z","timestamp":1648604726000},"page":"104643","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":11,"special_numbering":"C","title":["Neural correlates of affective control regions induced by common therapeutic strategies in major depressive disorders: An activation likelihood estimation meta-analysis study"],"prefix":"10.1016","volume":"137","author":[{"given":"Changhong","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quanling","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Delong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"Hoffstaedter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"Bauer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Elmenhorst","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neubiorev.2022.104643_bib1","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0208177","article-title":"Assessing robustness against potential publication bias in activation likelihood estimation (ALE) meta-analyses for fMRI","volume":"13","author":"Acar","year":"2018","journal-title":"PLoS One"},{"key":"10.1016\/j.neubiorev.2022.104643_bib2","doi-asserted-by":"crossref","first-page":"10214","DOI":"10.1038\/s41598-017-10575-9","article-title":"Differential effects of antidepressant treatment on long-range and short-range functional connectivity strength in patients with major depressive disorder","volume":"7","author":"An","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neubiorev.2022.104643_bib3","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1176\/jnp.2007.19.3.274","article-title":"Reciprocal effects of antidepressant treatment on activity and connectivity of the mood regulating circuit: an FMRI study","volume":"19","author":"Anand","year":"2007","journal-title":"J. Neuropsychiatry Clin. Neurosci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib4","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1176\/appi.ajp.2012.11121774","article-title":"Increased amygdala responses to sad but not fearful faces in major depression: relation to mood state and pharmacological treatment","volume":"169","author":"Arnone","year":"2012","journal-title":"Am. J. Psychiatry"},{"issue":"11","key":"10.1016\/j.neubiorev.2022.104643_bib5","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1016\/j.tics.2009.08.009","article-title":"A cognitive neuroscience hypothesis of mood and depression","volume":"13","author":"Bar","year":"2009","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib6","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1056\/NEJMra073096","article-title":"Major depressive disorder","volume":"358","author":"Belmaker","year":"2008","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.neubiorev.2022.104643_bib7","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1503\/jpn.140322","article-title":"Grey matter volume increase following electroconvulsive therapy in patients with late life depression: a longitudinal MRI study","volume":"41","author":"Bouckaert","year":"2016","journal-title":"J. Psychiatry Neurosci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib8","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.jad.2017.04.004","article-title":"Thalamocortical connectivity in major depressive disorder","volume":"217","author":"Brown","year":"2017","journal-title":"J. Affect Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib9","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2019.102114","article-title":"Electroconvulsive therapy modulates grey matter increase in a hub of an affect processing network","volume":"25","author":"Camilleri","year":"2020","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neubiorev.2022.104643_bib10","doi-asserted-by":"crossref","DOI":"10.1038\/tp.2016.267","article-title":"Brain volumetric and metabolic correlates of electroconvulsive therapy for treatment-resistant depression: a longitudinal neuroimaging study","volume":"7","author":"Cano","year":"2017","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib11","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.biopsych.2021.05.008","article-title":"Brain-derived neurotrophic factor signaling in depression and antidepressant action","volume":"90","author":"Castr\u00e9n","year":"2021","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib12","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1176\/appi.ajp.2019.18070870","article-title":"Effect of intrinsic patterns of functional brain connectivity in moderating antidepressant treatment response in major depression","volume":"177","author":"Chin Fatt","year":"2020","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib13","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1093\/brain\/aww326","article-title":"Multidimensional prediction of treatment response to antidepressants with cognitive control and functional MRI","volume":"140","author":"Crane","year":"2017","journal-title":"Brain"},{"key":"10.1016\/j.neubiorev.2022.104643_bib14","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1089\/cap.2015.0232","article-title":"Neural correlates of antidepressant treatment response in adolescents with major depressive disorder","volume":"26","author":"Cullen","year":"2016","journal-title":"J. Child Adolesc. Psychopharmacol."},{"issue":"1\u20132","key":"10.1016\/j.neubiorev.2022.104643_bib15","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.jad.2010.09.032","article-title":"Brain effects of antidepressants in major depression: a meta-analysis of emotional processing studies","volume":"130","author":"Delaveau","year":"2011","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib16","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.jad.2014.09.028","article-title":"A systematic review of relations between resting-state functional-MRI and treatment response in major depressive disorder","volume":"172","author":"Dichter","year":"2015","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib17","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1016\/j.neuroimage.2012.04.005","article-title":"A meta-analysis of neurofunctional imaging studies of emotion and cognition in major depression","volume":"61","author":"Diener","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2022.104643_bib18","doi-asserted-by":"crossref","first-page":"994","DOI":"10.1016\/j.euroneuro.2016.03.006","article-title":"Comparing the actions of lanicemine and ketamine in depression: key role of the anterior cingulate","volume":"26","author":"Downey","year":"2016","journal-title":"Eur. Neuropsychopharmacol."},{"key":"10.1016\/j.neubiorev.2022.104643_bib19","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1016\/j.neuroimage.2011.09.017","article-title":"Activation likelihood estimation meta-analysis revisited","volume":"59","author":"Eickhoff","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2022.104643_bib20","doi-asserted-by":"crossref","first-page":"2907","DOI":"10.1002\/hbm.20718","article-title":"Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: a random-effects approach based on empirical estimates of spatial uncertainty","volume":"30","author":"Eickhoff","year":"2009","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.neubiorev.2022.104643_bib21","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.neuroimage.2016.04.072","article-title":"Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation","volume":"137","author":"Eickhoff","year":"2016","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2022.104643_bib22","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1017\/S0033291719003660","article-title":"Brain structural effects of treatments for depression and biomarkers of response: a systematic review of neuroimaging studies","volume":"50","author":"Enneking","year":"2020","journal-title":"Psychol. Med."},{"key":"10.1016\/j.neubiorev.2022.104643_bib23","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.jad.2014.12.009","article-title":"Anterior cingulate volume predicts response to cognitive behavioral therapy in major depressive disorder","volume":"174","author":"Fujino","year":"2015","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib24","doi-asserted-by":"crossref","first-page":"2609","DOI":"10.1017\/S0033291712000591","article-title":"Short-term SSRI treatment normalises amygdala hyperactivity in depressed patients","volume":"42","author":"Godlewska","year":"2012","journal-title":"Psychol. Med."},{"key":"10.1016\/j.neubiorev.2022.104643_bib25","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.jad.2013.07.002","article-title":"Meta-analytic evidence for neuroimaging models of depression: state or trait?","volume":"151","author":"Graham","year":"2013","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib26","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1176\/appi.ajp.2019.19050560","article-title":"Multimodal abnormalities of brain structure and function in major depressive disorder: a meta-analysis of neuroimaging studies","volume":"177","author":"Gray","year":"2020","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib27","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1016\/j.nicl.2013.08.016","article-title":"Widespread reductions in gray matter volume in depression","volume":"3","author":"Grieve","year":"2013","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neubiorev.2022.104643_bib28","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.biopsych.2011.02.003","article-title":"Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination","volume":"70","author":"Hamilton","year":"2011","journal-title":"Biol. Psychiatry"},{"issue":"11","key":"10.1016\/j.neubiorev.2022.104643_bib29","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1038\/mp.2008.57","article-title":"Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies","volume":"13","author":"Hamilton","year":"2008","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib30","doi-asserted-by":"crossref","first-page":"2452","DOI":"10.1038\/npp.2011.132","article-title":"The effect of antidepressant medication treatment on serum levels of inflammatory cytokines: a meta-analysis","volume":"36","author":"Hannestad","year":"2011","journal-title":"Neuropsychopharmacol"},{"key":"10.1016\/j.neubiorev.2022.104643_bib31","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.3758\/s13415-016-0449-9","article-title":"Linking major depression and the neural substrates of associative processing","volume":"16","author":"Harel","year":"2016","journal-title":"Cogn. Affect. Behav. Neurosci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib32","doi-asserted-by":"crossref","first-page":"860","DOI":"10.1016\/j.neuroimage.2005.02.048","article-title":"Cognitive control and brain resources in major depression: an fMRI study using the n-back task","volume":"26","author":"Harvey","year":"2005","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2022.104643_bib33","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1001\/jamapsychiatry.2013.2430","article-title":"Increased prefrontal cortex activity during negative emotion regulation as a predictor of depression symptom severity trajectory over 6 months","volume":"70","author":"Heller","year":"2013","journal-title":"JAMA Psychiatry"},{"issue":"7","key":"10.1016\/j.neubiorev.2022.104643_bib34","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1002\/da.20262","article-title":"Role of GABA in anxiety and depression","volume":"24","author":"Kalueff","year":"2007","journal-title":"Depress. Anxiety"},{"key":"10.1016\/j.neubiorev.2022.104643_bib35","article-title":"Neuroimaging biomarkers for predicting treatment response and recurrence of major depressive disorder","volume":"21","author":"Kang","year":"2020","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib36","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1001\/archgenpsychiatry.2011.60","article-title":"Structural neuroimaging studies in major depressive disorder. Meta-analysis and comparison with bipolar disorder","volume":"68","author":"Kempton","year":"2011","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib37","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1017\/S1461145702003164","article-title":"Effects of antidepressants on the production of cytokines","volume":"5","author":"Kenis","year":"2002","journal-title":"Int. J. Neuropsychopharmacol."},{"issue":"6","key":"10.1016\/j.neubiorev.2022.104643_bib38","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1016\/j.biopsych.2018.09.021","article-title":"Mechanisms of antidepressant response to electroconvulsive therapy studied with perfusion magnetic resonance imaging","volume":"85","author":"Leaver","year":"2019","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib39","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.neuroimage.2009.11.021","article-title":"Structural and cognitive deficits in remitting and non-remitting recurrent depression: a voxel-based morphometric study","volume":"50","author":"Li","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.neubiorev.2022.104643_bib40","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1016\/j.jad.2021.09.074","article-title":"Abnormal core functional connectivity on the pathology of MDD and antidepressant treatment: a systematic review","volume":"296","author":"Li","year":"2022","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib41","doi-asserted-by":"crossref","first-page":"10464","DOI":"10.1038\/s41598-017-10676-5","article-title":"Brain grey matter volume alterations associated with antidepressant response in major depressive disorder","volume":"7","author":"Liu","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.neubiorev.2022.104643_bib42","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.jad.2020.06.072","article-title":"Prediction on treatment improvement in depression with resting state connectivity: a coordinate-based meta-analysis","volume":"276","author":"Long","year":"2020","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib43","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1038\/mp.2014.24","article-title":"Neuropsychological mechanism underlying antidepressant effect: a systematic meta-analysis","volume":"20","author":"Ma","year":"2015","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib44","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1016\/j.euroneuro.2011.03.002","article-title":"Antidepressant use and salivary cortisol in depressive and anxiety disorders","volume":"21","author":"Manthey","year":"2011","journal-title":"Eur. Neuropsychopharmacol."},{"key":"10.1016\/j.neubiorev.2022.104643_bib45","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1038\/nri.2015.5","article-title":"The role of inflammation in depression: from evolutionary imperative to modern treatment target","volume":"16","author":"Miller","year":"2016","journal-title":"Nat. Rev. Immunol."},{"key":"10.1016\/j.neubiorev.2022.104643_bib46","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1001\/jamapsychiatry.2016.2783","article-title":"Altered brain activity in unipolar depression revisited: Meta-analyses of neuroimaging studies","volume":"74","author":"Muller","year":"2017","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib47","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1038\/s41398-019-0644-x","article-title":"Meta-analysis of reward processing in major depressive disorder reveals distinct abnormalities within the reward circuit","volume":"9","author":"Ng","year":"2019","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib48","doi-asserted-by":"crossref","first-page":"16065","DOI":"10.1038\/nrdp.2016.65","article-title":"Major depressive disorder","volume":"2","author":"Otte","year":"2016","journal-title":"Nat. Rev. Dis. Prim."},{"key":"10.1016\/j.neubiorev.2022.104643_bib49","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1016\/j.tins.2008.06.006","article-title":"The HPA axis in major depression: classical theories and new developments","volume":"31","author":"Pariante","year":"2008","journal-title":"Trends Neurosci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib50","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1007\/s11033-019-05129-3","article-title":"The cellular and molecular basis of major depressive disorder: towards a unified model for understanding clinical depression","volume":"47","author":"Pitsillou","year":"2020","journal-title":"Mol. Biol. Rep."},{"key":"10.1016\/j.neubiorev.2022.104643_bib51","article-title":"Structural and functional neuroimaging of late-life depression: a coordinate-based meta-analysis","author":"Saberi","year":"2021","journal-title":"Brain Imaging Behav."},{"key":"10.1016\/j.neubiorev.2022.104643_bib52","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.jad.2011.08.001","article-title":"Mapping the depressed brain: a meta-analysis of structural and functional alterations in major depressive disorder","volume":"140","author":"Sacher","year":"2012","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib53","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1038\/npp.2010.24","article-title":"Anterior cingulate desynchronization and functional connectivity with the amygdala during a working memory task predict rapid antidepressant response to ketamine","volume":"35","author":"Salvadore","year":"2010","journal-title":"Neuropsychopharmacol"},{"key":"10.1016\/j.neubiorev.2022.104643_bib54","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.euroneuro.2015.12.036","article-title":"Electroconvulsive therapy increases temporal gray matter volume and cortical thickness","volume":"26","author":"Sartorius","year":"2016","journal-title":"Eur. Neuropsychopharmacol."},{"key":"10.1016\/j.neubiorev.2022.104643_bib55","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.jad.2019.01.040","article-title":"Resting-state functional connectivity and inflexibility of daily emotions in major depression","volume":"249","author":"Schwartz","year":"2019","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib56","doi-asserted-by":"crossref","first-page":"323","DOI":"10.3389\/fnhum.2012.00323","article-title":"Major depressive disorder and alterations in insular cortical activity: a review of current functional magnetic imaging research","volume":"6","author":"Sliz","year":"2012","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib57","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1186\/s12888-014-0321-9","article-title":"Cerebral metabolism in major depressive disorder: a voxel-based meta-analysis of positron emission tomography studies","volume":"14","author":"Su","year":"2014","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib58","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2021.565136","article-title":"Resting state functional connectivity biomarkers of treatment response in mood disorders: a review","volume":"12","author":"Taylor","year":"2021","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib59","doi-asserted-by":"crossref","first-page":"923","DOI":"10.3389\/fpsyt.2019.00923","article-title":"Structural and functional abnormities of amygdala and prefrontal cortex in major depressive disorder with suicide attempts","volume":"10","author":"Wang","year":"2020","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.neubiorev.2022.104643_bib60","doi-asserted-by":"crossref","first-page":"466","DOI":"10.2174\/1570159X13666150416224801","article-title":"Brain functional effects of psychopharmacological treatment in major depression: a focus on neural circuitry of affective processing","volume":"13","author":"Wessa","year":"2015","journal-title":"Curr. Neuropharmacol."},{"key":"10.1016\/j.neubiorev.2022.104643_bib61","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2020.102388","article-title":"Response to SSRI intervention and amygdala activity during self-referential processing in major depressive disorder","volume":"28","author":"Young","year":"2020","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.neubiorev.2022.104643_bib62","doi-asserted-by":"crossref","first-page":"2034","DOI":"10.1093\/scan\/nsu006","article-title":"Increased involvement of the parahippocampal gyri in a sad mood predicts future depressive symptoms","volume":"9","author":"Zamoscik","year":"2014","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"10.1016\/j.neubiorev.2022.104643_bib63","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.1093\/brain\/aws059","article-title":"Identifying major depression using whole-brain functional connectivity: a multivariate pattern analysis","volume":"135","author":"Zeng","year":"2012","journal-title":"Brain"},{"key":"10.1016\/j.neubiorev.2022.104643_bib64","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1016\/j.jad.2020.05.053","article-title":"Functional connectivity of the prefrontal cortex and amygdala is related to depression status in major depressive disorder","volume":"274","author":"Zhang","year":"2020","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.neubiorev.2022.104643_bib65","doi-asserted-by":"crossref","first-page":"1084","DOI":"10.1016\/j.jad.2020.05.148","article-title":"The concurrent disturbance of dynamic functional and structural brain connectome in major depressive disorder: the prefronto-insular pathway","volume":"274","author":"Zhang","year":"2020","journal-title":"J. Affect. Disord."}],"container-title":["Neuroscience & Biobehavioral Reviews"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0149763422001324?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0149763422001324?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T10:11:08Z","timestamp":1758967868000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0149763422001324"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6]]},"references-count":65,"alternative-id":["S0149763422001324"],"URL":"https:\/\/doi.org\/10.1016\/j.neubiorev.2022.104643","relation":{},"ISSN":["0149-7634"],"issn-type":[{"value":"0149-7634","type":"print"}],"subject":[],"published":{"date-parts":[[2022,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Neural correlates of affective control regions induced by common therapeutic strategies in major depressive disorders: An activation likelihood estimation meta-analysis study","name":"articletitle","label":"Article Title"},{"value":"Neuroscience & Biobehavioral Reviews","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neubiorev.2022.104643","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"104643"}}