{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T00:55:30Z","timestamp":1789865730415,"version":"4.0.1"},"reference-count":36,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T00:00:00Z","timestamp":1501459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuropsychopharmacol."],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1038\/npp.2017.165","type":"journal-article","created":{"date-parts":[[2017,7,31]],"date-time":"2017-07-31T07:00:28Z","timestamp":1501484428000},"page":"1078-1087","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets"],"prefix":"10.1038","volume":"43","author":[{"given":"Rongtao","family":"Jiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher C","family":"Abbott","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0607-3775","authenticated-orcid":false,"given":"Tianzi","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhui","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2895-4212","authenticated-orcid":false,"given":"Randall","family":"Espinoza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine L","family":"Narr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Wade","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingbao","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongdong","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Jones","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miklos","family":"Argyelan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Petrides","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6837-5966","authenticated-orcid":false,"given":"Jing","family":"Sui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vince D","family":"Calhoun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,7,31]]},"reference":[{"key":"BFnpp2017165_CR1","unstructured":"American Psychiatric Association (2012). In: Consensus Report of the APA Work Group on Neuroimaging Markers of Psychiatric Disorders. Association AP (ed): Arlington, VA, USA."},{"key":"BFnpp2017165_CR2","doi-asserted-by":"publisher","first-page":"e789","DOI":"10.1038\/tp.2016.54","volume":"6","author":"M Argyelan","year":"2016","unstructured":"Argyelan M, Lencz T, Kaliora S, Sarpal DK, Weissman N, Kingsley PB et al (2016). Subgenual cingulate cortical activity predicts the efficacy of electroconvulsive therapy. Transl Psychiatry 6: e789.","journal-title":"Transl Psychiatry"},{"key":"BFnpp2017165_CR3","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.jad.2011.03.049","volume":"138","author":"E Bora","year":"2012","unstructured":"Bora E, Fornito A, Pantelis C, Yucel M (2012). Gray matter abnormalities in major depressive disorder: a meta-analysis of voxel based morphometry studies. J Affect Disord 138: 9\u201318.","journal-title":"J Affect Disord"},{"key":"BFnpp2017165_CR4","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1016\/j.neuroimage.2010.12.028","volume":"55","author":"F Bunea","year":"2011","unstructured":"Bunea F, She Y, Ombao H, Gongvatana A, Devlin K, Cohen R (2011). Penalized least squares regression methods and applications to neuroimaging. Neuroimage 55: 1519\u20131527.","journal-title":"Neuroimage"},{"key":"BFnpp2017165_CR5","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.bpsc.2015.12.005","volume":"1","author":"VD Calhoun","year":"2016","unstructured":"Calhoun VD, Sui J (2016). Multimodal fusion of brain imaging data: a key to finding the missing link(s) in complex mental illness. Biol Psychiatry Cogn Neurosci Neuroimaging 1: 230\u2013244.","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"BFnpp2017165_CR6","doi-asserted-by":"publisher","first-page":"e6353","DOI":"10.1371\/journal.pone.0006353","volume":"4","author":"SG Costafreda","year":"2009","unstructured":"Costafreda SG, Chu C, Ashburner J, Fu CH (2009). Prognostic and diagnostic potential of the structural neuroanatomy of depression. PLoS ONE 4: e6353.","journal-title":"PLoS ONE"},{"key":"BFnpp2017165_CR7","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.4088\/JCP.v66n0813","volume":"66","author":"AY Dombrovski","year":"2005","unstructured":"Dombrovski AY, Mulsant BH, Haskett RF, Prudic J, Begley AE, Sackeim HA (2005). Predictors of remission after electroconvulsive therapy in unipolar major depression. J Clin Psychiatry 66: 1043\u20131049.","journal-title":"J Clin Psychiatry"},{"key":"BFnpp2017165_CR8","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1038\/nm.4246","volume":"23","author":"AT Drysdale","year":"2017","unstructured":"Drysdale AT, Grosenick L, Downar J, Dunlop K, Mansouri F, Meng Y et al (2017). Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med 23: 28\u201338.","journal-title":"Nat Med"},{"key":"BFnpp2017165_CR9","volume-title":"Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition","author":"MB First","year":"2002","unstructured":"First MB, Spitzer RL, Gibbon M, Williams JBW (2002) Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition. New York State Psychiatric Institute, Biomedical Research: New York."},{"key":"BFnpp2017165_CR10","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neuron.2014.10.047","volume":"85","author":"JD Gabrieli","year":"2015","unstructured":"Gabrieli JD, Ghosh SS, Whitfield-Gabrieli S (2015). Prediction as a humanitarian and pragmatic contribution from human cognitive neuroscience. Neuron 85: 11\u201326.","journal-title":"Neuron"},{"key":"BFnpp2017165_CR11","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1093\/schbul\/sbu177","volume":"41","author":"CN Gupta","year":"2015","unstructured":"Gupta CN, Calhoun VD, Rachakonda S, Chen J, Patel V, Liu J et al (2015). Patterns of gray matter abnormalities in schizophrenia based on an international mega-analysis. Schizophr Bull 41: 1133\u20131142.","journal-title":"Schizophr Bull"},{"key":"BFnpp2017165_CR12","doi-asserted-by":"publisher","first-page":"1374","DOI":"10.4088\/JCP.14r09528","volume":"76","author":"AU Haq","year":"2015","unstructured":"Haq AU, Sitzmann AF, Goldman ML, Maixner DF, Mickey BJ (2015). Response of depression to electroconvulsive therapy: a meta-analysis of clinical predictors. J Clin Psychiatry 76: 1374\u20131384.","journal-title":"J Clin Psychiatry"},{"key":"BFnpp2017165_CR13","doi-asserted-by":"publisher","first-page":"616","DOI":"10.1097\/JCP.0b013e3181ee0f5f","volume":"30","author":"WT Heijnen","year":"2010","unstructured":"Heijnen WT, Birkenhager TK, Wierdsma AI, van den Broek WW (2010). Antidepressant pharmacotherapy failure and response to subsequent electroconvulsive therapy: a meta-analysis. J Clin Psychopharmacol 30: 616\u2013619.","journal-title":"J Clin Psychopharmacol"},{"key":"BFnpp2017165_CR14","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1016\/j.biopsych.2015.02.029","volume":"79","author":"SH Joshi","year":"2016","unstructured":"Joshi SH, Espinoza RT, Pirnia T, Shi J, Wang Y, Ayers B et al (2016). Structural plasticity of the hippocampus and amygdala induced by electroconvulsive therapy in major depression. Biol Psychiatry 79: 282\u2013292.","journal-title":"Biol Psychiatry"},{"key":"BFnpp2017165_CR15","doi-asserted-by":"publisher","first-page":"1337","DOI":"10.1001\/archpsyc.63.12.1337","volume":"63","author":"CH Kellner","year":"2006","unstructured":"Kellner CH, Knapp RG, Petrides G, Rummans TA, Husain MM, Rasmussen K et al (2006). Continuation electroconvulsive therapy vs pharmacotherapy for relapse prevention in major depression: a multisite study from the Consortium for Research in Electroconvulsive Therapy (CORE). Arch Gen Psychiatry 63: 1337\u20131344.","journal-title":"Arch Gen Psychiatry"},{"key":"BFnpp2017165_CR16","doi-asserted-by":"crossref","first-page":"9104","DOI":"10.1523\/JNEUROSCI.20-24-09104.2000","volume":"20","author":"JE Malberg","year":"2000","unstructured":"Malberg JE, Eisch AJ, Nestler EJ, Duman RS (2000). Chronic antidepressant treatment increases neurogenesis in adult rat hippocampus. J Neurosci 20: 9104\u20139110.","journal-title":"J Neurosci"},{"key":"BFnpp2017165_CR17","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1176\/ajp.2006.163.9.1531","volume":"163","author":"PJ McGrath","year":"2006","unstructured":"McGrath PJ, Stewart JW, Fava M, Trivedi MH, Wisniewski SR, Nierenberg AA et al (2006). Tranylcypromine versus venlafaxine plus mirtazapine following three failed antidepressant medication trials for depression: a STAR*D report. Am J Psychiatry 163: 1531\u20131541 quiz 1666.","journal-title":"Am J Psychiatry"},{"issue":"Pt B","key":"BFnpp2017165_CR18","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.neuroimage.2016.05.026","volume":"145","author":"X Meng","year":"2017","unstructured":"Meng X, Jiang R, Lin D, Bustillo J, Jones T, Chen J et al (2017). Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. Neuroimage 145 (Pt B): 218\u2013229.","journal-title":"Neuroimage"},{"key":"BFnpp2017165_CR19","doi-asserted-by":"publisher","first-page":"977","DOI":"10.1176\/appi.ps.201300059","volume":"65","author":"DA Mrazek","year":"2014","unstructured":"Mrazek DA, Hornberger JC, Altar CA, Degtiar I (2014). A review of the clinical, economic, and societal burden of treatment-resistant depression: 1996-2013. Psychiatr Serv 65: 977\u2013987.","journal-title":"Psychiatr Serv"},{"key":"BFnpp2017165_CR20","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1186\/1471-244X-12-115","volume":"12","author":"A Nordenskjold","year":"2012","unstructured":"Nordenskjold A, von Knorring L, Engstrom I (2012). Predictors of the short-term responder rate of electroconvulsive therapy in depressive disorders\u2014a population based study. BMC Psychiatry 12: 115.","journal-title":"BMC Psychiatry"},{"key":"BFnpp2017165_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.pscychresns.2014.03.002","volume":"222","author":"ML Oudega","year":"2014","unstructured":"Oudega ML, van Exel E, Stek ML, Wattjes MP, van der Flier WM, Comijs HC et al (2014). The structure of the geriatric depressed brain and response to electroconvulsive therapy. Psychiatry Res 222: 1\u20139.","journal-title":"Psychiatry Res"},{"key":"BFnpp2017165_CR22","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1076\/jcen.20.3.310.823","volume":"20","author":"C Randolph","year":"1998","unstructured":"Randolph C, Tierney MC, Mohr E, Chase TN (1998). The Repeatable Battery for the Assessment of Neuropsychological Status (RBANS): preliminary clinical validity. J Clin Exp Neuropsychol 20: 310\u2013319.","journal-title":"J Clin Exp Neuropsychol"},{"key":"BFnpp2017165_CR23","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1001\/jamapsychiatry.2016.0316","volume":"73","author":"R Redlich","year":"2016","unstructured":"Redlich R, Opel N, Grotegerd D, Dohm K, Zaremba D, Burger C et al (2016). Prediction of individual response to electroconvulsive therapy via machine learning on structural magnetic resonance imaging data. JAMA Psychiatry 73: 557\u2013564.","journal-title":"JAMA Psychiatry"},{"key":"BFnpp2017165_CR24","doi-asserted-by":"publisher","first-page":"729","DOI":"10.1001\/archgenpsychiatry.2009.75","volume":"66","author":"HA Sackeim","year":"2009","unstructured":"Sackeim HA, Dillingham EM, Prudic J, Cooper T, McCall WV, Rosenquist P et al (2009). Effect of concomitant pharmacotherapy on electroconvulsive therapy outcomes: short-term efficacy and adverse effects. Arch Gen Psychiatry 66: 729\u2013737.","journal-title":"Arch Gen Psychiatry"},{"key":"BFnpp2017165_CR25","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1161\/CIRCULATIONAHA.115.019475","volume":"133","author":"SH Shah","year":"2016","unstructured":"Shah SH, Arnett D, Houser SR, Ginsburg GS, MacRae C, Mital S et al (2016). Opportunities for the cardiovascular community in the precision medicine initiative. Circulation 133: 226\u2013231.","journal-title":"Circulation"},{"key":"BFnpp2017165_CR26","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1186\/1756-0381-5-20","volume":"5","author":"ME Stokes","year":"2012","unstructured":"Stokes ME, Visweswaran S (2012). Application of a spatially-weighted relief algorithm for ranking genetic predictors of disease. BioData Mining 5: 20.","journal-title":"BioData Mining"},{"issue":"Pt 1","key":"BFnpp2017165_CR27","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.neuroimage.2013.09.044","volume":"102","author":"J Sui","year":"2014","unstructured":"Sui J, Huster R, Yu Q, Segall JM, Calhoun VD (2014). Function-structure associations of the brain: evidence from multimodal connectivity and covariance studies. Neuroimage 102 (Pt 1): 11\u201323.","journal-title":"Neuroimage"},{"key":"BFnpp2017165_CR28","doi-asserted-by":"publisher","first-page":"169","DOI":"10.3389\/fpsyt.2014.00169","volume":"5","author":"F Ten Doesschate","year":"2014","unstructured":"Ten Doesschate F, van Eijndhoven P, Tendolkar I, van Wingen GA, van Waarde JA (2014). Pre-treatment amygdala volume predicts electroconvulsive therapy response. Front Psychiatry 5: 169.","journal-title":"Front Psychiatry"},{"key":"BFnpp2017165_CR29","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.jbi.2009.10.004","volume":"43","author":"EE Tripoliti","year":"2010","unstructured":"Tripoliti EE, Fotiadis DI, Argyropoulou M, Manis G (2010). A six stage approach for the diagnosis of the Alzheimer\u2019s disease based on fMRI data. J Biomed Inform 43: 307\u2013320.","journal-title":"J Biomed Inform"},{"key":"BFnpp2017165_CR30","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1038\/mp.2014.78","volume":"20","author":"JA van Waarde","year":"2015","unstructured":"van Waarde JA, Scholte HS, van Oudheusden LJ, Verwey B, Denys D, van Wingen GA (2015). A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression. Mol Psychiatry 20: 609\u2013614.","journal-title":"Mol Psychiatry"},{"key":"BFnpp2017165_CR31","doi-asserted-by":"publisher","first-page":"470","DOI":"10.1016\/j.neuroimage.2016.05.053","volume":"139","author":"C Wachinger","year":"2016","unstructured":"Wachinger C, Reuter M, Alzheimer\u2019s Disease Neuroimaging I Australian Imaging B Lifestyle Flagship Study of Ageing (2016). Domain adaptation for Alzheimer\u2019s disease diagnostics. Neuroimage 139: 470\u2013479.","journal-title":"Neuroimage"},{"key":"BFnpp2017165_CR32","doi-asserted-by":"publisher","first-page":"2481","DOI":"10.1038\/npp.2016.48","volume":"41","author":"BS Wade","year":"2016","unstructured":"Wade BS, Joshi SH, Njau S, Leaver AM, Vasavada M, Woods RP et al (2016). Effect of electroconvulsive therapy on striatal morphometry in major depressive disorder. Neuropsychopharmacology 41: 2481\u20132491.","journal-title":"Neuropsychopharmacology"},{"key":"BFnpp2017165_CR33","volume-title":"The Practice of Electroconvulsive Therapy: Recommendations for Treatment, Training, and Privileging","author":"RD Weiner","year":"2001","unstructured":"Weiner RD, Coffey CE, Fochtmann LJ, Greenberg RM, Isenberg KE, Kellner CH et al (2001) The Practice of Electroconvulsive Therapy: Recommendations for Treatment, Training, and Privileging, Second edn. American Psychiatric Association: Washington, DC."},{"key":"BFnpp2017165_CR34","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1016\/j.biopsych.2013.05.014","volume":"75","author":"R Whelan","year":"2014","unstructured":"Whelan R, Garavan H (2014). When optimism hurts: inflated predictions in psychiatric neuroimaging. Biol Psychiatry 75: 746\u2013748.","journal-title":"Biol Psychiatry"},{"key":"BFnpp2017165_CR35","unstructured":"WHO World Health Organization, Depression (2017). \n                    http:\/\/www.who.int\/mental_health\/management\/depression\/en\/\n                    \n                  ."},{"issue":"4","key":"BFnpp2017165_CR36","first-page":"327","volume":"2","author":"Samuel T. Wilkinson","year":"2017","unstructured":"Wilkinson ST, Sanacora G, Bloch MH (2017). Hippocampal volume changes following electroconvulsive therapy: a systematic review and meta-analysis. Biol Psychiatry Clin Neurosci Neuroimaging 327\u2013335.","journal-title":"Biological Psychiatry: Cognitive Neuroscience and Neuroimaging"}],"container-title":["Neuropsychopharmacology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.nature.com\/articles\/npp2017165.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/npp2017165","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/doifinder\/10.1038\/npp.2017.165","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/www.nature.com\/articles\/npp2017165.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,18]],"date-time":"2023-05-18T19:57:56Z","timestamp":1684439876000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/npp2017165"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,31]]},"references-count":36,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["BFnpp2017165"],"URL":"https:\/\/doi.org\/10.1038\/npp.2017.165","relation":{"is-referenced-by":[{"id-type":"doi","id":"10.1186\/s12888-025-06945-7","asserted-by":"object"}]},"ISSN":["0893-133X","1740-634X"],"issn-type":[{"value":"0893-133X","type":"print"},{"value":"1740-634X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,7,31]]},"assertion":[{"value":"26 April 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 July 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2017","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 July 2017","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}