{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T19:31:25Z","timestamp":1786995085518,"version":"build-2736575974"},"reference-count":46,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2019,11,5]],"date-time":"2019-11-05T00:00:00Z","timestamp":1572912000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000009","name":"Foundation for the National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000009","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1016\/j.nicl.2019.102080","type":"journal-article","created":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T11:39:50Z","timestamp":1573040390000},"page":"102080","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":38,"special_numbering":"C","title":["Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data"],"prefix":"10.1016","volume":"26","author":[{"given":"Hailun","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongtao","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shile","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine L.","family":"Narr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2461-6101","authenticated-orcid":false,"given":"Benjamin SC","family":"Wade","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joel","family":"Upston","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Randall","family":"Espinoza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tom","family":"Jones","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vince D.","family":"Calhoun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher C","family":"Abbott","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"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2019.102080_bib0001","doi-asserted-by":"crossref","first-page":"e483","DOI":"10.1038\/tp.2014.124","article-title":"Hippocampal structural and functional changes associated with electroconvulsive therapy response","volume":"4","author":"Abbott","year":"2014","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0002","doi-asserted-by":"crossref","first-page":"10","DOI":"10.3389\/fpsyt.2013.00010","article-title":"Electroconvulsive therapy response in major depressive disorder: a pilot functional network connectivity resting state FMRI investigation","volume":"4","author":"Abbott","year":"2013","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0003","series-title":"Information Retrieval Technology, Airs 2014","first-page":"482","article-title":"Correlation-based feature selection for association rule mining in semantic annotation of mammographic medical images","author":"Abubacker","year":"2014"},{"key":"10.1016\/j.nicl.2019.102080_bib0004","unstructured":"American Psychiatric Association, 2012. Consensus Report of the APA Work Group on Neuroimaging Markers of Psychiatric Disorders. In: Association, A.P. (Ed.), Arlington, VA, USA."},{"key":"10.1016\/j.nicl.2019.102080_bib0005","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1192\/bjp.178.3.200","article-title":"Cognitive deficits in depression - possible implications for functional neuropathology","volume":"178","author":"Austin","year":"2001","journal-title":"Br. J. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0006","doi-asserted-by":"crossref","DOI":"10.3390\/bs8040039","article-title":"What we know about the brain structure-function relationship","volume":"8","author":"Batista-Garcia-Ramo","year":"2018","journal-title":"Behav. Sci."},{"key":"10.1016\/j.nicl.2019.102080_bib0007","article-title":"Grey matter volume increase following electroconvulsive therapy in patients with late life depression: a longitudinal MRI study","volume":"40","author":"Bouckaert","year":"2015","journal-title":"J. Psychiatry Neurosci."},{"key":"10.1016\/j.nicl.2019.102080_bib0008","doi-asserted-by":"crossref","first-page":"5331","DOI":"10.1002\/hbm.23737","article-title":"The impact of T1 versus epi spatial normalization templates for fMRI data analyses","volume":"38","author":"Calhoun","year":"2017","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2019.102080_bib0009","doi-asserted-by":"crossref","first-page":"5434","DOI":"10.1038\/s41598-018-23685-9","article-title":"Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder","volume":"8","author":"Cao","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.nicl.2019.102080_bib0010","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.4088\/JCP.v66n0813","article-title":"Predictors of remission after electroconvulsive therapy in unipolar major depression","volume":"66","author":"Dombrovski","year":"2005","journal-title":"J. Clin. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0011","doi-asserted-by":"crossref","first-page":"1358","DOI":"10.1126\/science.1194144","article-title":"Prediction of individual brain maturity using fMRI","volume":"329","author":"Dosenbach","year":"2010","journal-title":"Science"},{"key":"10.1016\/j.nicl.2019.102080_bib0012","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1038\/nm.4246","article-title":"Resting-state connectivity biomarkers define neurophysiological subtypes of depression","volume":"23","author":"Drysdale","year":"2017","journal-title":"Nat. Med."},{"key":"10.1016\/j.nicl.2019.102080_bib0013","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1002\/hbm.23086","article-title":"Artifact removal in the context of group ICA: a comparison of single-subject and group approaches","volume":"37","author":"Du","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2019.102080_bib0014","doi-asserted-by":"crossref","first-page":"3508","DOI":"10.1093\/cercor\/bhw157","article-title":"The human brainnetome atlas: a new brain atlas based on connectional architecture","volume":"26","author":"Fan","year":"2016","journal-title":"Cerebral Cortex"},{"key":"10.1016\/j.nicl.2019.102080_bib0015","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1176\/ajp.2006.163.7.1161","article-title":"A comparison of mirtazapine and nortriptyline following two consecutive failed medication treatments for depressed outpatients: a STAR*D report","volume":"163","author":"Fava","year":"2006","journal-title":"Am. J. Psychiatry"},{"issue":"Suppl 16","key":"10.1016\/j.nicl.2019.102080_bib0016","first-page":"26","article-title":"The burden of disease for treatment-resistant depression","volume":"62","author":"Greden","year":"2001","journal-title":"J. Clin. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0017","series-title":"Treatment Resistant depression: a Roadmap For Effective Care","author":"Greden","year":"2011"},{"key":"10.1016\/j.nicl.2019.102080_bib0018","doi-asserted-by":"crossref","first-page":"1374","DOI":"10.4088\/JCP.14r09528","article-title":"Response of depression to electroconvulsive therapy: a meta-analysis of clinical predictors","volume":"76","author":"Haq","year":"2015","journal-title":"J. Clin. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0019","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1097\/JCP.0b013e3181ee0f5f","article-title":"Antidepressant pharmacotherapy failure and response to subsequent electroconvulsive therapy a meta-analysis","volume":"30","author":"Heijnen","year":"2010","journal-title":"J. Clin. Psychopharmacol."},{"key":"10.1016\/j.nicl.2019.102080_bib0020","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1093\/scan\/nsy002","article-title":"Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals","volume":"13","author":"Hsu","year":"2018","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"10.1016\/j.nicl.2019.102080_bib0021","doi-asserted-by":"crossref","first-page":"485","DOI":"10.4088\/JCP.v65n0406","article-title":"Speed of response and remission in major depressive disorder with acute electroconvulsive therapy (ECT): a consortium for research in ect (CORE) report","volume":"65","author":"Husain","year":"2004","journal-title":"J. Clin. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0022","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1038\/npp.2017.165","article-title":"SMRI biomarkers predict electroconvulsive treatment outcomes: accuracy with independent data sets","volume":"43","author":"Jiang","year":"2018","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.nicl.2019.102080_bib0046","article-title":"Multimodal data revealed different neurobiological correlates of intelligence between males and females","author":"Jiang","year":"2019","journal-title":"Brain Imaging Behav."},{"key":"10.1016\/j.nicl.2019.102080_bib0047","article-title":"Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores","author":"Jiang","year":"2019","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2019.102080_bib0023","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1016\/j.neuroimage.2018.08.038","article-title":"Connectome-based individualized prediction of temperament trait scores","volume":"183","author":"Jiang","year":"2018","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102080_bib0024","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1097\/00124509-200309000-00005","article-title":"A meta-analysis of electroconvulsive therapy efficacy in depression","volume":"19","author":"Kho","year":"2003","journal-title":"J. ECT"},{"key":"10.1016\/j.nicl.2019.102080_bib0025","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","article-title":"Wrappers for feature subset selection","volume":"97","author":"Kohavi","year":"1997","journal-title":"Artif. Intell."},{"key":"10.1016\/j.nicl.2019.102080_bib0026","first-page":"77","article-title":"Modulation of intrinsic brain activity by electroconvulsive therapy in major depression","volume":"1","author":"Leaver","year":"2016","journal-title":"Biol. Psychiatry. Cogn. Neurosci. Neuroimag."},{"key":"10.1016\/j.nicl.2019.102080_bib0027","doi-asserted-by":"crossref","first-page":"92","DOI":"10.3389\/fpsyt.2018.00092","article-title":"Fronto-Temporal connectivity predicts ect outcome in major depression","volume":"9","author":"Leaver","year":"2018","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0028","doi-asserted-by":"crossref","first-page":"1531","DOI":"10.1176\/ajp.2006.163.9.1531","article-title":"Tranylcypromine versus venlafaxine plus mirtazapine following three failed antidepressant medication trials for depression: a STAR*D report","volume":"163","author":"McGrath","year":"2006","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0044","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.neuroimage.2016.05.026","article-title":"Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data","volume":"145","author":"Meng","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102080_bib0029","doi-asserted-by":"crossref","first-page":"5071","DOI":"10.1038\/s41598-019-41175-4","article-title":"Resting state functional connectivity predictors of treatment response to electroconvulsive therapy in depression","volume":"9","author":"Moreno-Ortega","year":"2019","journal-title":"Sci. Rep."},{"issue":"Suppl 8","key":"10.1016\/j.nicl.2019.102080_bib0030","first-page":"17","article-title":"Prevalence and management of treatment-resistant depression","volume":"68","author":"Nemeroff","year":"2007","journal-title":"J. Clin. Psychiatry"},{"issue":"5","key":"10.1016\/j.nicl.2019.102080_bib0045","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1111\/acps.12945","article-title":"Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients","volume":"138","author":"Osuch","year":"2018","journal-title":"Acta Psychiatrica Scandinavica"},{"key":"10.1016\/j.nicl.2019.102080_bib0031","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1016\/j.neuroimage.2013.08.048","article-title":"Methods to detect, characterize, and remove motion artifact in resting state fMRI","volume":"84","author":"Power","year":"2014","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2019.102080_bib0032","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1001\/jamapsychiatry.2016.0316","article-title":"Prediction of individual response to electroconvulsive therapy via machine learning on structural magnetic resonance imaging data","volume":"73","author":"Redlich","year":"2016","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0033","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1038\/nn.4179","article-title":"A neuromarker of sustained attention from whole-brain functional connectivity","volume":"19","author":"Rosenberg","year":"2016","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.nicl.2019.102080_bib0034","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1038\/nprot.2016.178","article-title":"Using connectome-based predictive modeling to predict individual behavior from brain connectivity","volume":"12","author":"Shen","year":"2017","journal-title":"Nat. Protoc."},{"key":"10.1016\/j.nicl.2019.102080_bib0035","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-018-05432-w","article-title":"Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion","volume":"9","author":"Sui","year":"2018","journal-title":"Nat. Commun."},{"key":"10.1016\/j.nicl.2019.102080_bib0036","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.jbi.2009.10.004","article-title":"A six stage approach for the diagnosis of the alzheimer's disease based on fMRI data","volume":"43","author":"Tripoliti","year":"2010","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/j.nicl.2019.102080_bib0037","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1176\/appi.ajp.163.1.28","article-title":"Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice","volume":"163","author":"Trivedi","year":"2006","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0038","article-title":"A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression","author":"van Waarde","year":"2014","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0039","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1186\/1471-2288-1-6","article-title":"The use of percentage change from baseline as an outcome in a controlled trial is statistically inefficient: a simulation study","volume":"1","author":"Vickers","year":"2001","journal-title":"BMC Med. Res. Methodol."},{"key":"10.1016\/j.nicl.2019.102080_bib0040","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1038\/npp.2016.48","article-title":"Effect of electroconvulsive therapy on striatal morphometry in major depressive disorder","volume":"41","author":"Wade","year":"2016","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.nicl.2019.102080_bib0041","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1038\/s41398-017-0020-7","article-title":"Inter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study","volume":"7","author":"Wade","year":"2017","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.nicl.2019.102080_bib0043","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"}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219304279?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219304279?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:25:09Z","timestamp":1761971109000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158219304279"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":46,"alternative-id":["S2213158219304279"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2019.102080","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2019.102080","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"102080"}}