{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T10:52:57Z","timestamp":1785322377825,"version":"3.55.0"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T00:00:00Z","timestamp":1670198400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["81971689"],"award-info":[{"award-number":["81971689"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["91432301"],"award-info":[{"award-number":["91432301"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81771456"],"award-info":[{"award-number":["81771456"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mol Neurobiol"],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1007\/s12035-022-03132-7","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T05:05:31Z","timestamp":1670216731000},"page":"1465-1475","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Neuroplasticity-Related Genes and Dopamine Receptors Associated with Regional Cortical Thickness Increase Following Electroconvulsive Therapy for Major Depressive Disorder"],"prefix":"10.1007","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7073-5534","authenticated-orcid":false,"given":"Gong-Jun","family":"Ji","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Liao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingru","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongjian","family":"Bai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kongliang","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuyan","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Juergen","family":"Dukart","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chris","family":"Baeken","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanghua","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,12,5]]},"reference":[{"issue":"8","key":"3132_CR1","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1016\/j.biopsych.2018.05.017","volume":"84","author":"L Oltedal","year":"2018","unstructured":"Oltedal L, Narr KL, Abbott C, Anand A, Argyelan M, Bartsch H, Dannlowski U, Dols A et al (2018) Volume of the human hippocampus and clinical response following electroconvulsive therapy. Biol Psychiat 84(8):574\u2013581. https:\/\/doi.org\/10.1016\/j.biopsych.2018.05.017","journal-title":"Biol Psychiat"},{"issue":"6","key":"3132_CR2","doi-asserted-by":"publisher","first-page":"e832","DOI":"10.1038\/tp.2016.102","volume":"6","author":"T Pirnia","year":"2016","unstructured":"Pirnia T, Joshi SH, Leaver AM, Vasavada M, Njau S, Woods RP, Espinoza R, Narr KL (2016) Electroconvulsive therapy and structural neuroplasticity in neocortical, limbic and paralimbic cortex. Transl Psychiatry 6(6):e832. https:\/\/doi.org\/10.1038\/tp.2016.102","journal-title":"Transl Psychiatry"},{"issue":"3","key":"3132_CR3","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1002\/hup.2531","volume":"31","author":"JJ Benson-Martin","year":"2016","unstructured":"Benson-Martin JJ, Stein DJ, Baldwin DS, Domschke K (2016) Genetic mechanisms of electroconvulsive therapy response in depression. Hum Psychopharmacol 31(3):247\u2013251. https:\/\/doi.org\/10.1002\/hup.2531","journal-title":"Hum Psychopharmacol"},{"issue":"3","key":"3132_CR4","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1097\/YPG.0b013e328360c894","volume":"23","author":"ML Viikki","year":"2013","unstructured":"Viikki ML, Jarventausta K, Leinonen E, Huuhka M, Mononen N, Lehtimaki T, Kampman O (2013) BDNF polymorphism rs11030101 is associated with the efficacy of electroconvulsive therapy in treatment-resistant depression. Psychiatr Genet 23(3):134\u2013136. https:\/\/doi.org\/10.1097\/YPG.0b013e328360c894","journal-title":"Psychiatr Genet"},{"key":"3132_CR5","doi-asserted-by":"publisher","first-page":"e609","DOI":"10.1038\/tp.2015.100","volume":"5","author":"EM van Buel","year":"2015","unstructured":"van Buel EM, Patas K, Peters M, Bosker FJ, Eisel UL, Klein HC (2015) Immune and neurotrophin stimulation by electroconvulsive therapy: is some inflammation needed after all? Transl Psychiatry 5:e609. https:\/\/doi.org\/10.1038\/tp.2015.100","journal-title":"Transl Psychiatry"},{"issue":"8","key":"3132_CR6","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1016\/j.biopsych.2020.05.006","volume":"88","author":"GM Wittenberg","year":"2020","unstructured":"Wittenberg GM, Greene J, Vertes PE, Drevets WC, Bullmore ET (2020) Major depressive disorder is associated with differential expression of innate immune and neutrophil-related gene networks in peripheral blood: a quantitative review of whole-genome transcriptional data from case-control studies. Biol Psychiat 88(8):625\u2013637. https:\/\/doi.org\/10.1016\/j.biopsych.2020.05.006","journal-title":"Biol Psychiat"},{"key":"3132_CR7","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.neubiorev.2019.04.002","volume":"102","author":"CPC Galts","year":"2019","unstructured":"Galts CPC, Bettio LEB, Jewett DC, Yang CC, Brocardo PS, Rodrigues ALS, Thacker JS, Gil-Mohapel J (2019) Depression in neurodegenerative diseases: common mechanisms and current treatment options. Neurosci Biobehav Rev 102:56\u201384. https:\/\/doi.org\/10.1016\/j.neubiorev.2019.04.002","journal-title":"Neurosci Biobehav Rev"},{"issue":"4","key":"3132_CR8","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1038\/npp.2011.306","volume":"37","author":"J Undurraga","year":"2012","unstructured":"Undurraga J, Baldessarini RJ (2012) Randomized, placebo-controlled trials of antidepressants for acute major depression: thirty-year meta-analytic review. Neuropsychopharmacology\u202f: official publication of the American College of Neuropsychopharmacology 37(4):851\u2013864. https:\/\/doi.org\/10.1038\/npp.2011.306","journal-title":"Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology"},{"issue":"2","key":"3132_CR9","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1097\/YCT.0000000000000138","volume":"30","author":"P Baldinger","year":"2014","unstructured":"Baldinger P, Lotan A, Frey R, Kasper S, Lerer B, Lanzenberger R (2014) Neurotransmitters and electroconvulsive therapy. J ECT 30(2):116\u2013121. https:\/\/doi.org\/10.1097\/YCT.0000000000000138","journal-title":"J ECT"},{"issue":"4","key":"3132_CR10","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1007\/BF00216018","volume":"91","author":"GM Goodwin","year":"1987","unstructured":"Goodwin GM, De Souza RJ, Green AR (1987) Attenuation by electroconvulsive shock and antidepressant drugs of the 5-HT1A receptor-mediated hypothermia and serotonin syndrome produced by 8-OH-DPAT in the rat. Psychopharmacology 91(4):500\u2013505. https:\/\/doi.org\/10.1007\/BF00216018","journal-title":"Psychopharmacology"},{"key":"3132_CR11","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.neulet.2016.10.047","volume":"669","author":"M Pinna","year":"2018","unstructured":"Pinna M, Manchia M, Oppo R, Scano F, Pillai G, Loche AP, Salis P, Minnai GP (2018) Clinical and biological predictors of response to electroconvulsive therapy (ECT): a review. Neurosci Lett 669:32\u201342. https:\/\/doi.org\/10.1016\/j.neulet.2016.10.047","journal-title":"Neurosci Lett"},{"key":"3132_CR12","doi-asserted-by":"publisher","first-page":"111086","DOI":"10.1016\/j.pscychresns.2020.111086","volume":"301","author":"T Masuoka","year":"2020","unstructured":"Masuoka T, Tateno A, Sakayori T, Tiger M, Kim W, Moriya H, Ueda S, Arakawa R et al (2020) Electroconvulsive therapy decreases striatal dopamine transporter binding in patients with depression: a positron emission tomography study with [(18)F]FE-PE2I. Psychiatry research Neuroimaging 301:111086. https:\/\/doi.org\/10.1016\/j.pscychresns.2020.111086","journal-title":"Psychiatry research Neuroimaging"},{"issue":"3","key":"3132_CR13","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1111\/acps.12884","volume":"138","author":"K Gbyl","year":"2018","unstructured":"Gbyl K, Videbech P (2018) Electroconvulsive therapy increases brain volume in major depression: a systematic review and meta-analysis. Acta Psychiatr Scand 138(3):180\u2013195. https:\/\/doi.org\/10.1111\/acps.12884","journal-title":"Acta Psychiatr Scand"},{"issue":"4","key":"3132_CR14","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1016\/j.neuroimage.2010.07.020","volume":"53","author":"M Reuter","year":"2010","unstructured":"Reuter M, Rosas HD, Fischl B (2010) Highly accurate inverse consistent registration: a robust approach. Neuroimage 53(4):1181\u20131196. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.07.020","journal-title":"Neuroimage"},{"issue":"1","key":"3132_CR15","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.neuroimage.2011.02.076","volume":"57","author":"M Reuter","year":"2011","unstructured":"Reuter M, Fischl B (2011) Avoiding asymmetry-induced bias in longitudinal image processing. Neuroimage 57(1):19\u201321. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.02.076","journal-title":"Neuroimage"},{"issue":"4","key":"3132_CR16","doi-asserted-by":"publisher","first-page":"1402","DOI":"10.1016\/j.neuroimage.2012.02.084","volume":"61","author":"M Reuter","year":"2012","unstructured":"Reuter M, Schmansky NJ, Rosas HD, Fischl B (2012) Within-subject template estimation for unbiased longitudinal image analysis. Neuroimage 61(4):1402\u20131418. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.02.084","journal-title":"Neuroimage"},{"issue":"7615","key":"3132_CR17","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1038\/nature18933","volume":"536","author":"MF Glasser","year":"2016","unstructured":"Glasser MF, Coalson TS, Robinson EC, Hacker CD, Harwell J, Yacoub E, Ugurbil K, Andersson J et al (2016) A multi-modal parcellation of human cerebral cortex. Nature 536(7615):171\u2013178. https:\/\/doi.org\/10.1038\/nature18933","journal-title":"Nature"},{"issue":"7416","key":"3132_CR18","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1038\/nature11405","volume":"489","author":"MJ Hawrylycz","year":"2012","unstructured":"Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, Shen EH, Ng L, Miller JA, van de Lagemaat LN, Smith KA et al (2012) An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 489(7416):391\u2013399. https:\/\/doi.org\/10.1038\/nature11405","journal-title":"Nature"},{"key":"3132_CR19","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.neuroimage.2019.01.011","volume":"189","author":"A Arnatkeviciute","year":"2019","unstructured":"Arnatkeviciute A, Fulcher BD, Fornito A (2019) A practical guide to linking brain-wide gene expression and neuroimaging data. Neuroimage 189:353\u2013367. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.01.011","journal-title":"Neuroimage"},{"issue":"10","key":"3132_CR20","doi-asserted-by":"publisher","first-page":"e0139516","DOI":"10.1371\/journal.pone.0139516","volume":"10","author":"J Arloth","year":"2015","unstructured":"Arloth J, Bader DM, Roh S, Altmann A (2015) Re-annotator: annotation pipeline for microarray probe sequences. PLoS ONE 10(10):e0139516. https:\/\/doi.org\/10.1371\/journal.pone.0139516","journal-title":"PLoS ONE"},{"issue":"2","key":"3132_CR21","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.neuroimage.2010.07.034","volume":"56","author":"A Krishnan","year":"2011","unstructured":"Krishnan A, Williams LJ, McIntosh AR, Abdi H (2011) Partial least squares (PLS) methods for neuroimaging: a tutorial and review. Neuroimage 56(2):455\u2013475. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.07.034","journal-title":"Neuroimage"},{"issue":"1","key":"3132_CR22","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1038\/s41467-019-09234-6","volume":"10","author":"Y Zhou","year":"2019","unstructured":"Zhou Y, Zhou B, Pache L, Chang M, Khodabakhshi AH, Tanaseichuk O, Benner C, Chanda SK (2019) Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 10(1):1523. https:\/\/doi.org\/10.1038\/s41467-019-09234-6","journal-title":"Nat Commun"},{"issue":"10","key":"3132_CR23","doi-asserted-by":"publisher","first-page":"2517","DOI":"10.1088\/0031-9155\/59\/10\/2517","volume":"59","author":"E Grecchi","year":"2014","unstructured":"Grecchi E, Doyle OM, Bertoldo A, Pavese N, Turkheimer FE (2014) Brain shaving: adaptive detection for brain PET data. Phys Med Biol 59(10):2517\u20132534. https:\/\/doi.org\/10.1088\/0031-9155\/59\/10\/2517","journal-title":"Phys Med Biol"},{"issue":"2","key":"3132_CR24","doi-asserted-by":"publisher","first-page":"e0148744","DOI":"10.1371\/journal.pone.0148744","volume":"11","author":"G Rizzo","year":"2016","unstructured":"Rizzo G, Veronese M, Expert P, Turkheimer FE, Bertoldo A (2016) MENGA: a new comprehensive tool for the integration of neuroimaging Data and the Allen Human Brain Transcriptome Atlas. PLoS ONE 11(2):e0148744. https:\/\/doi.org\/10.1371\/journal.pone.0148744","journal-title":"PLoS ONE"},{"issue":"1","key":"3132_CR25","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.neuroimage.2012.07.001","volume":"63","author":"M Savli","year":"2012","unstructured":"Savli M, Bauer A, Mitterhauser M, Ding YS, Hahn A, Kroll T, Neumeister A, Haeusler D et al (2012) Normative database of the serotonergic system in healthy subjects using multi-tracer PET. Neuroimage 63(1):447\u2013459. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.07.001","journal-title":"Neuroimage"},{"issue":"1","key":"3132_CR26","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1093\/cercor\/bhx249","volume":"28","author":"F Vasa","year":"2018","unstructured":"Vasa F, Seidlitz J, Romero-Garcia R, Whitaker KJ, Rosenthal G, Vertes PE, Shinn M, Alexander-Bloch A et al (2018) Adolescent tuning of association cortex in human structural brain networks. Cereb Cortex 28(1):281\u2013294. https:\/\/doi.org\/10.1093\/cercor\/bhx249","journal-title":"Cereb Cortex"},{"issue":"11","key":"3132_CR27","doi-asserted-by":"publisher","first-page":"3294","DOI":"10.1093\/brain\/awaa277","volume":"143","author":"AS Mandal","year":"2020","unstructured":"Mandal AS, Romero-Garcia R, Hart MG, Suckling J (2020) Genetic, cellular, and connectomic characterization of the brain regions commonly plagued by glioma. Brain\u202f: a journal of neurology 143(11):3294\u20133307. https:\/\/doi.org\/10.1093\/brain\/awaa277","journal-title":"Brain : a journal of neurology"},{"issue":"8","key":"3132_CR28","doi-asserted-by":"publisher","first-page":"109582","DOI":"10.1016\/j.celrep.2021.109582","volume":"36","author":"S Yang","year":"2021","unstructured":"Yang S, Wagstyl K, Meng Y, Zhao X, Li J, Zhong P, Li B, Fan YS, Chen H, Liao W (2021) Cortical patterning of morphometric similarity gradient reveals diverged hierarchical organization in sensory-motor cortices. Cell Rep 36(8):109582. https:\/\/doi.org\/10.1016\/j.celrep.2021.109582","journal-title":"Cell Rep"},{"issue":"19","key":"3132_CR29","doi-asserted-by":"publisher","first-page":"9604","DOI":"10.1073\/pnas.1820754116","volume":"116","author":"SE Morgan","year":"2019","unstructured":"Morgan SE, Seidlitz J, Whitaker KJ, Romero-Garcia R, Clifton NE, Scarpazza C, van Amelsvoort T, Marcelis M, van Os J et al (2019) Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. Proc Natl Acad Sci USA 116(19):9604\u20139609. https:\/\/doi.org\/10.1073\/pnas.1820754116","journal-title":"Proc Natl Acad Sci USA"},{"key":"3132_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2021.03.024","author":"H Janouschek","year":"2021","unstructured":"Janouschek H, Camilleri JA, Peterson Z, Sharkey RJ, Eickhoff CR, Grozinger M, Eickhoff SB, Nickl-Jockschat T (2021) Meta-analytic evidence for volume increases in the medial temporal lobe after electroconvulsive therapy. Biol Psychiat. https:\/\/doi.org\/10.1016\/j.biopsych.2021.03.024","journal-title":"Biol Psychiat"},{"issue":"5","key":"3132_CR31","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/j.biopsych.2019.07.010","volume":"87","author":"OT Ousdal","year":"2020","unstructured":"Ousdal OT, Argyelan M, Narr KL, Abbott C, Wade B, Vandenbulcke M, Urretavizcaya M, Tendolkar I et al (2020) Brain changes induced by electroconvulsive therapy are broadly distributed. Biol Psychiat 87(5):451\u2013461. https:\/\/doi.org\/10.1016\/j.biopsych.2019.07.010","journal-title":"Biol Psychiat"},{"issue":"3","key":"3132_CR32","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1016\/j.euroneuro.2015.12.036","volume":"26","author":"A Sartorius","year":"2016","unstructured":"Sartorius A, Demirakca T, Bohringer A, Clemm von Hohenberg C, Aksay SS, Bumb JM, Kranaster L, Ende G (2016) Electroconvulsive therapy increases temporal gray matter volume and cortical thickness. Eur Neuropsychopharmacol 26(3):506\u2013517. https:\/\/doi.org\/10.1016\/j.euroneuro.2015.12.036","journal-title":"Eur Neuropsychopharmacol"},{"issue":"8","key":"3132_CR33","doi-asserted-by":"publisher","first-page":"e874","DOI":"10.1038\/tp.2016.139","volume":"6","author":"P van Eijndhoven","year":"2016","unstructured":"van Eijndhoven P, Mulders P, Kwekkeboom L, van Oostrom I, van Beek M, Janzing J, Schene A, Tendolkar I (2016) Bilateral ECT induces bilateral increases in regional cortical thickness. Transl Psychiatry 6(8):e874. https:\/\/doi.org\/10.1038\/tp.2016.139","journal-title":"Transl Psychiatry"},{"issue":"3","key":"3132_CR34","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1192\/bjp.2018.224","volume":"214","author":"G Gryglewski","year":"2019","unstructured":"Gryglewski G, Baldinger-Melich P, Seiger R, Godbersen GM, Michenthaler P, Klobl M, Spurny B, Kautzky A et al (2019) Structural changes in amygdala nuclei, hippocampal subfields and cortical thickness following electroconvulsive therapy in treatment-resistant depression: longitudinal analysis. The British J Psychiatry\u202f: the J Mental Sci 214(3):159\u2013167. https:\/\/doi.org\/10.1192\/bjp.2018.224","journal-title":"The British J Psychiatry : the J Mental Sci"},{"issue":"3","key":"3132_CR35","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1111\/acps.13068","volume":"140","author":"K Gbyl","year":"2019","unstructured":"Gbyl K, Rostrup E, Raghava JM, Carlsen JF, Schmidt LS, Lindberg U, Ashraf A, Jorgensen MB et al (2019) Cortical thickness following electroconvulsive therapy in patients with depression: a longitudinal MRI study. Acta Psychiatr Scand 140(3):205\u2013216. https:\/\/doi.org\/10.1111\/acps.13068","journal-title":"Acta Psychiatr Scand"},{"issue":"7","key":"3132_CR36","doi-asserted-by":"publisher","first-page":"1950005","DOI":"10.1142\/S0129065719500059","volume":"29","author":"J Xu","year":"2019","unstructured":"Xu J, Wang J, Bai T, Zhang X, Li T, Hu Q, Li H, Zhang L, Wei Q, Tian Y, Wang K (2019) Electroconvulsive therapy induces cortical morphological alterations in major depressive disorder revealed with surface-based morphometry analysis. Int J Neural Syst 29(7):1950005. https:\/\/doi.org\/10.1142\/S0129065719500059","journal-title":"Int J Neural Syst"},{"key":"3132_CR37","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.jad.2019.07.075","volume":"258","author":"A Yrondi","year":"2019","unstructured":"Yrondi A, Nemmi F, Billoux S, Giron A, Sporer M, Taib S, Salles J, Pierre D et al (2019) Grey matter changes in treatment-resistant depression during electroconvulsive therapy. J Affect Disord 258:42\u201349. https:\/\/doi.org\/10.1016\/j.jad.2019.07.075","journal-title":"J Affect Disord"},{"issue":"2","key":"3132_CR38","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1007\/s12035-012-8365-7","volume":"47","author":"MS Kassem","year":"2013","unstructured":"Kassem MS, Lagopoulos J, Stait-Gardner T, Price WS, Chohan TW, Arnold JC, Hatton SN, Bennett MR (2013) Stress-induced grey matter loss determined by MRI is primarily due to loss of dendrites and their synapses. Mol Neurobiol 47(2):645\u2013661. https:\/\/doi.org\/10.1007\/s12035-012-8365-7","journal-title":"Mol Neurobiol"},{"key":"3132_CR39","doi-asserted-by":"publisher","first-page":"7582","DOI":"10.1038\/ncomms8582","volume":"6","author":"OP Keifer Jr","year":"2015","unstructured":"Keifer OP Jr, Hurt RC, Gutman DA, Keilholz SD, Gourley SL, Ressler KJ (2015) Voxel-based morphometry predicts shifts in dendritic spine density and morphology with auditory fear conditioning. Nat Commun 6:7582. https:\/\/doi.org\/10.1038\/ncomms8582","journal-title":"Nat Commun"},{"issue":"4","key":"3132_CR40","doi-asserted-by":"publisher","first-page":"856","DOI":"10.1016\/j.brs.2018.04.003","volume":"11","author":"KR Maynard","year":"2018","unstructured":"Maynard KR, Hobbs JW, Rajpurohit SK, Martinowich K (2018) Electroconvulsive seizures influence dendritic spine morphology and BDNF expression in a neuroendocrine model of depression. Brain Stimul 11(4):856\u2013859. https:\/\/doi.org\/10.1016\/j.brs.2018.04.003","journal-title":"Brain Stimul"},{"issue":"5","key":"3132_CR41","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.biopsych.2006.11.014","volume":"62","author":"D Ongur","year":"2007","unstructured":"Ongur D, Pohlman J, Dow AL, Eisch AJ, Edwin F, Heckers S, Cohen BM, Patel TB et al (2007) Electroconvulsive seizures stimulate glial proliferation and reduce expression of Sprouty2 within the prefrontal cortex of rats. Biol Psychiat 62(5):505\u2013512. https:\/\/doi.org\/10.1016\/j.biopsych.2006.11.014","journal-title":"Biol Psychiat"},{"issue":"3","key":"3132_CR42","doi-asserted-by":"publisher","first-page":"1403","DOI":"10.1002\/hbm.23928","volume":"39","author":"J Wang","year":"2018","unstructured":"Wang J, Wei Q, Wang L, Zhang H, Bai T, Cheng L, Tian Y, Wang K (2018) Functional reorganization of intra- and internetwork connectivity in major depressive disorder after electroconvulsive therapy. Hum Brain Mapp 39(3):1403\u20131411. https:\/\/doi.org\/10.1002\/hbm.23928","journal-title":"Hum Brain Mapp"},{"issue":"1","key":"3132_CR43","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1038\/s41398-020-00961-9","volume":"10","author":"J Xu","year":"2020","unstructured":"Xu J, Wei Q, Bai T, Wang L, Li X, He Z, Wu J, Hu Q et al (2020) Electroconvulsive therapy modulates functional interactions between submodules of the emotion regulation network in major depressive disorder. Transl Psychiatry 10(1):271. https:\/\/doi.org\/10.1038\/s41398-020-00961-9","journal-title":"Transl Psychiatry"},{"issue":"10","key":"3132_CR44","doi-asserted-by":"publisher","first-page":"1086","DOI":"10.1177\/0269881120936538","volume":"34","author":"J Giacobbe","year":"2020","unstructured":"Giacobbe J, Pariante CM, Borsini A (2020) The innate immune system and neurogenesis as modulating mechanisms of electroconvulsive therapy in pre-clinical studies. J Psychopharmacol 34(10):1086\u20131097. https:\/\/doi.org\/10.1177\/0269881120936538","journal-title":"J Psychopharmacol"},{"key":"3132_CR45","doi-asserted-by":"publisher","unstructured":"Xiang X, Yu Y, Tang X, Chen M, Zheng Y, Zhu S (2019) Transcriptome profile in hippocampus during acute inflammatory response to surgery: toward early stage of PND. Front Immunol 10:149. https:\/\/doi.org\/10.3389\/fimmu.2019.00149","DOI":"10.3389\/fimmu.2019.00149"},{"issue":"1","key":"3132_CR46","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.1038\/s41467-021-21943-5","volume":"12","author":"J Li","year":"2021","unstructured":"Li J, Seidlitz J, Suckling J, Fan F, Ji GJ, Meng Y, Yang S, Wang K et al (2021) Cortical structural differences in major depressive disorder correlate with cell type-specific transcriptional signatures. Nat Commun 12(1):1647. https:\/\/doi.org\/10.1038\/s41467-021-21943-5","journal-title":"Nat Commun"},{"issue":"1","key":"3132_CR47","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.brs.2017.10.013","volume":"11","author":"A Yrondi","year":"2018","unstructured":"Yrondi A, Sporer M, Peran P, Schmitt L, Arbus C, Sauvaget A (2018) Electroconvulsive therapy, depression, the immune system and inflammation: a systematic review. Brain Stimul 11(1):29\u201351. https:\/\/doi.org\/10.1016\/j.brs.2017.10.013","journal-title":"Brain Stimul"},{"issue":"4","key":"3132_CR48","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1016\/j.conb.2012.01.008","volume":"22","author":"RM Robertson","year":"2012","unstructured":"Robertson RM, Money TG (2012) Temperature and neuronal circuit function: compensation, tuning and tolerance. Curr Opin Neurobiol 22(4):724\u2013734. https:\/\/doi.org\/10.1016\/j.conb.2012.01.008","journal-title":"Curr Opin Neurobiol"},{"key":"3132_CR49","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.conb.2020.10.009","volume":"66","author":"G Faini","year":"2021","unstructured":"Faini G, Del Bene F, Albadri S (2021) Reelin functions beyond neuronal migration: from synaptogenesis to network activity modulation. Curr Opin Neurobiol 66:135\u2013143. https:\/\/doi.org\/10.1016\/j.conb.2020.10.009","journal-title":"Curr Opin Neurobiol"},{"key":"3132_CR50","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1146\/annurev.neuro.31.060407.125631","volume":"31","author":"SW Flavell","year":"2008","unstructured":"Flavell SW, Greenberg ME (2008) Signaling mechanisms linking neuronal activity to gene expression and plasticity of the nervous system. Annu Rev Neurosci 31:563\u2013590. https:\/\/doi.org\/10.1146\/annurev.neuro.31.060407.125631","journal-title":"Annu Rev Neurosci"},{"issue":"2","key":"3132_CR51","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.tcb.2015.10.001","volume":"26","author":"P van Bergeijk","year":"2016","unstructured":"van Bergeijk P, Hoogenraad CC, Kapitein LC (2016) Right time, right place: probing the functions of organelle positioning. Trends Cell Biol 26(2):121\u2013134. https:\/\/doi.org\/10.1016\/j.tcb.2015.10.001","journal-title":"Trends Cell Biol"},{"issue":"7","key":"3132_CR52","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1162\/089976698300017124","volume":"10","author":"G Chechik","year":"1998","unstructured":"Chechik G, Meilijson I, Ruppin E (1998) Synaptic pruning in development: a computational account. Neural Comput 10(7):1759\u20131777. https:\/\/doi.org\/10.1162\/089976698300017124","journal-title":"Neural Comput"},{"issue":"1","key":"3132_CR53","doi-asserted-by":"publisher","first-page":"71","DOI":"10.2174\/1570159x14666160202121111","volume":"15","author":"LR Vose","year":"2017","unstructured":"Vose LR, Stanton PK (2017) Synaptic plasticity, metaplasticity and depression. Curr Neuropharmacol 15(1):71\u201386. https:\/\/doi.org\/10.2174\/1570159x14666160202121111","journal-title":"Curr Neuropharmacol"},{"issue":"Suppl 6","key":"3132_CR54","first-page":"4","volume":"61","author":"RM Hirschfeld","year":"2000","unstructured":"Hirschfeld RM (2000) History and evolution of the monoamine hypothesis of depression. J Clin Psychiatry 61(Suppl 6):4\u20136","journal-title":"J Clin Psychiatry"},{"key":"3132_CR55","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.nbd.2012.06.001","volume":"52","author":"JB Savitz","year":"2013","unstructured":"Savitz JB, Drevets WC (2013) Neuroreceptor imaging in depression. Neurobiol Dis 52:49\u201365. https:\/\/doi.org\/10.1016\/j.nbd.2012.06.001","journal-title":"Neurobiol Dis"},{"key":"3132_CR56","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.conb.2017.08.003","volume":"48","author":"JE Robinson","year":"2018","unstructured":"Robinson JE, Gradinaru V (2018) Dopaminergic dysfunction in neurodevelopmental disorders: recent advances and synergistic technologies to aid basic research. Curr Opin Neurobiol 48:17\u201329. https:\/\/doi.org\/10.1016\/j.conb.2017.08.003","journal-title":"Curr Opin Neurobiol"},{"issue":"9","key":"3132_CR57","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1016\/j.tins.2010.05.005","volume":"33","author":"EA Daubert","year":"2010","unstructured":"Daubert EA, Condron BG (2010) Serotonin: a regulator of neuronal morphology and circuitry. Trends Neurosci 33(9):424\u2013434. https:\/\/doi.org\/10.1016\/j.tins.2010.05.005","journal-title":"Trends Neurosci"},{"issue":"1","key":"3132_CR58","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.neuroimage.2009.01.049","volume":"46","author":"ND Woodward","year":"2009","unstructured":"Woodward ND, Zald DH, Ding Z, Riccardi P, Ansari MS, Baldwin RM, Cowan RL, Li R et al (2009) Cerebral morphology and dopamine D2\/D3 receptor distribution in humans: a combined [18F]fallypride and voxel-based morphometry study. Neuroimage 46(1):31\u201338. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.01.049","journal-title":"Neuroimage"},{"issue":"7","key":"3132_CR59","doi-asserted-by":"publisher","first-page":"1443","DOI":"10.1017\/S1461145711001659","volume":"16","author":"U Dannlowski","year":"2013","unstructured":"Dannlowski U, Domschke K, Birosova E, Lawford B, Young R, Voisey J, Morris CP, Suslow T et al (2013) Dopamine D(3) receptor gene variation: impact on electroconvulsive therapy response and ventral striatum responsiveness in depression. Int J Neuropsychopharmacol 16(7):1443\u20131459. https:\/\/doi.org\/10.1017\/S1461145711001659","journal-title":"Int J Neuropsychopharmacol"}],"container-title":["Molecular Neurobiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12035-022-03132-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12035-022-03132-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12035-022-03132-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,4]],"date-time":"2023-02-04T10:54:54Z","timestamp":1675508094000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12035-022-03132-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,5]]},"references-count":59,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023,3]]}},"alternative-id":["3132"],"URL":"https:\/\/doi.org\/10.1007\/s12035-022-03132-7","relation":{},"ISSN":["0893-7648","1559-1182"],"issn-type":[{"value":"0893-7648","type":"print"},{"value":"1559-1182","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,5]]},"assertion":[{"value":"26 June 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 November 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was approved by the local ethics committee in Anhui Medical University. Informed consent to participate in the study was obtained from all participants included in the study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"Informed consent for publication was obtained from all participants included in the study.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}]}}