{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T14:41:42Z","timestamp":1771166502607,"version":"3.50.1"},"reference-count":69,"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":[[2020,1,11]],"date-time":"2020-01-11T00:00:00Z","timestamp":1578700800000},"content-version":"vor","delay-in-days":10,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100002491","name":"Bristol-Myers Squibb","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100002491","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003400","name":"Ontario Ministry of Research, Innovation and Science","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003400","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004319","name":"Pfizer","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004319","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011725","name":"Servier","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100011725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008914","name":"Ontario Brain Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008914","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013327","name":"H. Lundbeck A\/S","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013327","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100023238","name":"Victoria General Hospital Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100023238","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100013873","name":"Government of Ontario","doi-asserted-by":"publisher","award":["MOP 125880"],"award-info":[{"award-number":["MOP 125880"]}],"id":[{"id":"10.13039\/100013873","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100009408","name":"Fondation Brain Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009408","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.2020.102178","type":"journal-article","created":{"date-parts":[[2020,1,13]],"date-time":"2020-01-13T17:09:53Z","timestamp":1578935393000},"page":"102178","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":17,"special_numbering":"C","title":["An investigation of cortical thickness and antidepressant response in major depressive disorder: A CAN-BIND study report"],"prefix":"10.1016","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7428-6628","authenticated-orcid":false,"given":"Jee Su","family":"Suh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luciano","family":"Minuzzi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4662-0558","authenticated-orcid":false,"given":"Pradeep Reddy","family":"Raamana","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Davis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3398-6692","authenticated-orcid":false,"given":"Geoffrey B.","family":"Hall","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacqueline","family":"Harris","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7240-1581","authenticated-orcid":false,"given":"Stefanie","family":"Hassel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mojdeh","family":"Zamyadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen R.","family":"Arnott","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00e9sine L.","family":"Alders","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8862-0930","authenticated-orcid":false,"given":"Roberto B.","family":"Sassi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6884-171X","authenticated-orcid":false,"given":"Roumen","family":"Milev","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raymond W.","family":"Lam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Glenda M.","family":"MacQueen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3198-217X","authenticated-orcid":false,"given":"Stephen C.","family":"Strother","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sidney H.","family":"Kennedy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8267-943X","authenticated-orcid":false,"given":"Benicio N.","family":"Frey","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/j.nicl.2020.102178_bib0001","doi-asserted-by":"crossref","first-page":"2221","DOI":"10.1038\/s41386-018-0122-9","article-title":"Pretreatment and early-treatment cortical thickness is associated with SSRI treatment response in major depressive disorder","volume":"43","author":"Bartlett","year":"2018","journal-title":"Neuropsychopharmacology"},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0002","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1590\/1516-3180.2014.00351712","article-title":"The escitalopram versus electric current therapy for treating depression clinical study (ELECT-TDCS): rationale and study design of a non-inferiority, triple-arm, placebo-controlled clinical trial","volume":"133","author":"Brunoni","year":"2015","journal-title":"Sao Paulo Med. J."},{"issue":"5","key":"10.1016\/j.nicl.2020.102178_bib0003","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1038\/nrn3475","article-title":"Power failure: why small sample size undermines the reliability of neuroscience","volume":"14","author":"Button","year":"2013","journal-title":"Nat. Rev. Neurosci."},{"issue":"10128","key":"10.1016\/j.nicl.2020.102178_bib0004","doi-asserted-by":"crossref","first-page":"1357","DOI":"10.1016\/S0140-6736(17)32802-7","article-title":"Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis","volume":"391","author":"Cipriani","year":"2018","journal-title":"Lancet North Am. Ed."},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0005","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1016\/j.neuroimage.2011.05.053","article-title":"A comparison of voxel and surface based cortical thickness estimation methods","volume":"57","author":"Clarkson","year":"2011","journal-title":"Neuroimage"},{"issue":"11","key":"10.1016\/j.nicl.2020.102178_bib0006","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0184923","article-title":"The relation between statistical power and inference in FMRI","volume":"12","author":"Cremers","year":"2017","journal-title":"PLoS ONE"},{"issue":"2","key":"10.1016\/j.nicl.2020.102178_bib0007","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1006\/nimg.1998.0395","article-title":"Cortical surface-based analysis - I. segmentation and surface reconstruction","volume":"9","author":"Dale","year":"1999","journal-title":"Neuroimage"},{"issue":"5","key":"10.1016\/j.nicl.2020.102178_bib0008","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/j.biopsych.2009.09.033","article-title":"A meta-analysis of cytokines in major depression","volume":"67","author":"Dowlati","year":"2010","journal-title":"Biol. Psychiatry"},{"issue":"1","key":"10.1016\/j.nicl.2020.102178_bib0009","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."},{"issue":"August","key":"10.1016\/j.nicl.2020.102178_bib0010","doi-asserted-by":"crossref","first-page":"e874","DOI":"10.1038\/tp.2016.139","article-title":"Bilateral ECT induces bilateral increases in regional cortical thickness","volume":"6","author":"Eijndhoven","year":"2016","journal-title":"Transl. Psychiatry"},{"issue":"12","key":"10.1016\/j.nicl.2020.102178_bib0011","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1176\/appi.ajp.2013.12121504","article-title":"Paralimbic cortical thickness in first-episode depression: evidence for trait-related differences in mood regulation","volume":"170","author":"Eijndhoven","year":"2013","journal-title":"Am. J. Psychiatry"},{"issue":"2","key":"10.1016\/j.nicl.2020.102178_bib0012","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"FreeSurfer","volume":"62","author":"Fischl","year":"2012","journal-title":"Neuroimage"},{"issue":"February","key":"10.1016\/j.nicl.2020.102178_bib0013","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1186\/s12888-016-0750-8","article-title":"Cortical thickness and emotion processing in young adults with mild to moderate depression: a preliminary study","volume":"16","author":"Fonseka","year":"2016","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.nicl.2020.102178_bib0014","doi-asserted-by":"crossref","unstructured":"Fortin, Jean-Philippe, Nicholas Cullen, Yvette I.Sheline, Warren D.Taylor, Irem Aselcioglu, Phil Adams, Crystal Cooper, et\u00a0al. 2017. \u201cHarmonization of cortical thickness measurements across scanners and sites.\u201d BioRxiv, June. 10.1101\/148502.","DOI":"10.1101\/148502"},{"issue":"1","key":"10.1016\/j.nicl.2020.102178_bib0015","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1186\/s12888-015-0457-2","article-title":"Multimodal functional and structural neuroimaging investigation of major depressive disorder following treatment with duloxetine","volume":"15","author":"Fu","year":"2015","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.nicl.2020.102178_bib0016","first-page":"1","article-title":"Structural changes in amygdala nuclei, hippocampal subfields and cortical thickness following electroconvulsive therapy in treatment-resistant depression: longitudinal analysis","author":"Gryglewski","year":"2018","journal-title":"Br. J. Psychiatry"},{"issue":"4","key":"10.1016\/j.nicl.2020.102178_bib0017","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1016\/j.neuroimage.2006.07.036","article-title":"Smoothing and cluster thresholding for cortical surface-based group analysis of FMRI data","volume":"33","author":"Hagler","year":"2006","journal-title":"Neuroimage"},{"issue":"7","key":"10.1016\/j.nicl.2020.102178_bib0018","first-page":"619","article-title":"Stability of cortical thinning in persons at increased familial risk for major depressive disorder across 8 years","volume":"2","author":"Hao","year":"2017","journal-title":"Biologic. Psychiat: Cognit. Neurosci. Neuroimaging"},{"issue":"December","key":"10.1016\/j.nicl.2020.102178_bib0019","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.pscychresns.2018.06.004","article-title":"A longitudinal human phantom reliability study of multi-center T1-Weighted, DTI, and resting state FMRI data","volume":"282","author":"Hawco","year":"2018","journal-title":"Psychiat. Res. Neuroimaging"},{"issue":"11","key":"10.1016\/j.nicl.2020.102178_bib0020","doi-asserted-by":"crossref","first-page":"2521","DOI":"10.1093\/cercor\/bhs231","article-title":"The structure of the cerebral cortex across adult life: age-related patterns of surface area, thickness, and gyrification","volume":"23","author":"Hogstrom","year":"2013","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2020.102178_bib0021","doi-asserted-by":"crossref","unstructured":"Jahanshad, Neda, Joshua I. Faskowitz, Gennady Roshchupkin, Derrek Hibar, Boris A. Gutman, Nicholas J. Tustison, Hieab H.H. Adams, et\u00a0al. 2019. \u201cMulti-site meta-analysis of morphometry.\u201d IEEE\/ACM Trans. Comput. Biol. Bioinf., May. 10.1109\/TCBB.2019.2914905.","DOI":"10.1109\/TCBB.2019.2914905"},{"issue":"1","key":"10.1016\/j.nicl.2020.102178_bib0022","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1093\/biostatistics\/kxj037","article-title":"Adjusting batch effects in microarray expression data using empirical bayes methods","volume":"8","author":"Johnson","year":"2007","journal-title":"Biostatistics"},{"issue":"5","key":"10.1016\/j.nicl.2020.102178_bib0023","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1177\/0706743717748883","article-title":"Unpacking major depressive disorder: from classification to treatment selection","volume":"63","author":"Kennedy","year":"2018","journal-title":"Can. J. Psychiatry"},{"issue":"9","key":"10.1016\/j.nicl.2020.102178_bib0024","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1177\/0706743716659417","article-title":"Canadian network for mood and anxiety treatments (CANMAT) 2016 clinical guidelines for the management of adults with major depressive disorder: section 3. pharmacological treatments","volume":"61","author":"Kennedy","year":"2016","journal-title":"Can. J. Psychiatry"},{"issue":"2","key":"10.1016\/j.nicl.2020.102178_bib0025","doi-asserted-by":"crossref","DOI":"10.4088\/JCP.18m12202","article-title":"Symptomatic and functional outcomes and early prediction of response to escitalopram monotherapy and sequential adjunctive aripiprazole therapy in patients with major depressive disorder: a CAN-BIND-1 report","volume":"80","author":"Kennedy","year":"2019","journal-title":"J. Clin. Psychiatry"},{"issue":"January","key":"10.1016\/j.nicl.2020.102178_bib0026","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.pnpbp.2017.06.024","article-title":"Application of machine learning classification for structural brain MRI in mood disorders: critical review from a clinical perspective","volume":"80","author":"Kim","year":"2018","journal-title":"Prog. Neuropsychopharmacol. Biol. Psychiatry"},{"issue":"November","key":"10.1016\/j.nicl.2020.102178_bib0027","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.pscychresns.2018.08.013","article-title":"Increases in orbitofrontal cortex thickness following antidepressant treatment are associated with changes in resting state autonomic function in adolescents with major depression \u2013 Preliminary Findings from a pilot study","volume":"281","author":"Koenig","year":"2018","journal-title":"Psychiat. Res. Neuroimaging"},{"issue":"April","key":"10.1016\/j.nicl.2020.102178_bib0028","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1186\/s12888-016-0785-x","article-title":"Discovering biomarkers for antidepressant response: protocol from the Canadian biomarker integration network in depression (CAN-BIND) and clinical characteristics of the first patient cohort","volume":"16","author":"Lam","year":"2016","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.nicl.2020.102178_bib0029","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.brainres.2015.04.058","article-title":"Repeated fluvoxamine treatment recovers juvenile stress-induced morphological changes and depressive-like behavior in rats","volume":"1616","author":"Lyttle","year":"2015","journal-title":"Brain Res."},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0030","first-page":"1","article-title":"The Canadian biomarker integration network in depression (CAN-BIND): magnetic resonance imaging protocols","volume":"44","author":"MacQueen","year":"2019","journal-title":"J. Psychiat. Neurosci. JPN"},{"issue":"9","key":"10.1016\/j.nicl.2020.102178_bib0031","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.1093\/cercor\/bhl125","article-title":"Relationships between IQ and regional cortical gray matter thickness in healthy adults","volume":"17","author":"Narr","year":"2007","journal-title":"Cereb. Cortex"},{"issue":"1","key":"10.1016\/j.nicl.2020.102178_bib0032","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.biopsych.2014.10.018","article-title":"Cortical thickness in individuals at high familial risk of mood disorders as they develop major depressive disorder","volume":"78","author":"Papmeyer","year":"2015","journal-title":"Biol. Psychiatry"},{"issue":"11","key":"10.1016\/j.nicl.2020.102178_bib0033","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.22120","article-title":"Sample size estimates for well-powered cross-sectional cortical thickness studies","volume":"34","author":"Pardoe","year":"2013","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0034","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1177\/070674371405900306","article-title":"The mistreatment of major depressive disorder","volume":"59","author":"Paris","year":"2014","journal-title":"Can. J. Psychiatry"},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0035","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0120704","article-title":"Surface vulnerability of cerebral cortex to major depressive disorder","volume":"10","author":"Peng","year":"2015","journal-title":"PLoS ONE"},{"issue":"9","key":"10.1016\/j.nicl.2020.102178_bib0036","doi-asserted-by":"crossref","first-page":"4370","DOI":"10.1002\/hbm.23664","article-title":"Cortical thickness is not associated with current depression in a clinical treatment study","volume":"38","author":"Perlman","year":"2017","journal-title":"Hum. Brain Mapp."},{"issue":"8","key":"10.1016\/j.nicl.2020.102178_bib0037","doi-asserted-by":"crossref","DOI":"10.1093\/ijnp\/pyv037","article-title":"A prospective, longitudinal study of the effect of remission on cortical thickness and hippocampal volume in patients with treatment-resistant depression","volume":"18","author":"Phillips","year":"2015","journal-title":"Int. J. Neuropsychopharmacolog."},{"issue":"2","key":"10.1016\/j.nicl.2020.102178_bib0038","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1176\/appi.ajp.2014.14010076","article-title":"Identifying predictors, moderators, and mediators of antidepressant response in major depressive disorder: neuroimaging approaches","volume":"172","author":"Phillips","year":"2015","journal-title":"Am. J. Psychiatry"},{"issue":"4","key":"10.1016\/j.nicl.2020.102178_bib0039","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.3233\/JAD-170041","article-title":"Cortical thickness and depressive symptoms in cognitively normal individuals: the mayo clinic study of aging","volume":"58","author":"Pink","year":"2017","journal-title":"J. Alzheimer\u2019s Dis. JAD"},{"issue":"June","key":"10.1016\/j.nicl.2020.102178_bib0040","doi-asserted-by":"crossref","first-page":"e832","DOI":"10.1038\/tp.2016.102","article-title":"Electroconvulsive therapy and structural neuroplasticity in neocortical, limbic and paralimbic cortex","volume":"6","author":"Pirnia","year":"2016","journal-title":"Transl. Psychiatry"},{"issue":"6","key":"10.1016\/j.nicl.2020.102178_bib0041","doi-asserted-by":"crossref","first-page":"2223","DOI":"10.1002\/hbm.23168","article-title":"Postmortem validation of MRI cortical volume measurements in MS","volume":"37","author":"Popescu","year":"2016","journal-title":"Hum. Brain Mapp."},{"issue":"April","key":"10.1016\/j.nicl.2020.102178_bib0042","doi-asserted-by":"crossref","first-page":"e378","DOI":"10.1038\/tp.2014.18","article-title":"Regional increases of cortical thickness in untreated, first-episode major depressive disorder","volume":"4","author":"Qiu","year":"2014","journal-title":"Transl. Psychiatry"},{"issue":"30","key":"10.1016\/j.nicl.2020.102178_bib0043","doi-asserted-by":"crossref","first-page":"924","DOI":"10.21105\/joss.00924","article-title":"Graynet: single-Subject morphometric networks for neuroscience connectivity applications","volume":"3","author":"Raamana","year":"2018","journal-title":"J. Open Source Softw."},{"key":"10.1016\/j.nicl.2020.102178_bib0044","doi-asserted-by":"crossref","first-page":"76","DOI":"10.3389\/fneur.2014.00076","article-title":"The sub-classification of amnestic mild cognitive impairment using MRI-based cortical thickness measures","volume":"5","author":"Raamana","year":"2014","journal-title":"Front. Neurol."},{"issue":"4","key":"10.1016\/j.nicl.2020.102178_bib0045","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1016\/j.neuroimage.2010.07.020","article-title":"Highly accurate inverse consistent registration: a robust approach","volume":"53","author":"Reuter","year":"2010","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.nicl.2020.102178_bib0046","doi-asserted-by":"crossref","first-page":"1402","DOI":"10.1016\/j.neuroimage.2012.02.084","article-title":"Within-subject template estimation for unbiased longitudinal image analysis","volume":"61","author":"Reuter","year":"2012","journal-title":"Neuroimage"},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0047","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1111\/acps.13065","article-title":"Cortical thickening in remitters compared to non\u2010remitters with major depressive disorder following 8\u2010week antidepressant treatment","volume":"140","author":"Saricicek Aydogan","year":"2019","journal-title":"Acta Psychiatr. Scand."},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0048","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."},{"issue":"6","key":"10.1016\/j.nicl.2020.102178_bib0049","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1038\/mp.2016.60","article-title":"Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the enigma major depressive disorder working group","volume":"22","author":"Schmaal","year":"2017","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.nicl.2020.102178_bib0050","doi-asserted-by":"crossref","unstructured":"Schmitgen, Mike M., Katharina M. Kubera, Malte S. Depping, Henrike M. Nolte, Dusan Hirjak, Stefan Hofer, Julia H. Hasenkamp, et\u00a0al. 2019. \u201cExploring cortical predictors of clinical response to electroconvulsive therapy in major depression.\u201d Eur. Arch. Psychiatry Clin. Neurosci., July. 10.1007\/s00406-019-01033-w.","DOI":"10.1007\/s00406-019-01033-w"},{"issue":"4","key":"10.1016\/j.nicl.2020.102178_bib0051","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1002\/cne.902860404","article-title":"Density of neurons and synapses in the cerebral cortex of the mouse","volume":"286","author":"Sch\u00fcz","year":"1989","journal-title":"J. Comp. Neurol."},{"issue":"3","key":"10.1016\/j.nicl.2020.102178_bib0052","doi-asserted-by":"crossref","first-page":"1060","DOI":"10.1016\/j.neuroimage.2004.03.032","article-title":"A hybrid approach to the skull stripping problem in MRI","volume":"22","author":"S\u00e9gonne","year":"2004","journal-title":"Neuroimage"},{"issue":"5","key":"10.1016\/j.nicl.2020.102178_bib0053","doi-asserted-by":"crossref","first-page":"1085","DOI":"10.1016\/j.mehy.2007.03.001","article-title":"Extended neocortical maturation time encompasses speciation, fatty acid and lateralization theories of the evolution of schizophrenia and creativity","volume":"69","author":"Seldon","year":"2007","journal-title":"Med. Hypotheses"},{"issue":"14","key":"10.1016\/j.nicl.2020.102178_bib0054","doi-asserted-by":"crossref","first-page":"3586","DOI":"10.1523\/JNEUROSCI.5309-07.2008","article-title":"Neurodevelopmental trajectories of the human cerebral cortex","volume":"28","author":"Shaw","year":"2008","journal-title":"J. Neurosci."},{"issue":"1","key":"10.1016\/j.nicl.2020.102178_bib0055","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/42.668698","article-title":"A nonparametric method for automatic correction of intensity nonuniformity in MRI data","volume":"17","author":"Sled","year":"1998","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"25","key":"10.1016\/j.nicl.2020.102178_bib0056","doi-asserted-by":"crossref","first-page":"8488","DOI":"10.1523\/JNEUROSCI.0391-14.2014","article-title":"Differential longitudinal changes in cortical thickness, surface area and volume across the adult life span: regions of accelerating and decelerating change","volume":"34","author":"Storsve","year":"2014","journal-title":"J. Neurosci."},{"issue":"5","key":"10.1016\/j.nicl.2020.102178_bib0057","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1097\/WNR.0000000000001211","article-title":"Cerebral cortical thickness after treatment with desvenlafaxine succinate in major depressive disorder","volume":"30","author":"Suh","year":"2019","journal-title":"NeuroReport"},{"issue":"January","key":"10.1016\/j.nicl.2020.102178_bib0058","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.pnpbp.2018.08.008","article-title":"Cortical thickness in major depressive disorder: a systematic review and meta-analysis","volume":"88","author":"Suh","year":"2019","journal-title":"Progr. Neuro-psychopharmacol. Biol. Psychiatry"},{"issue":"12","key":"10.1016\/j.nicl.2020.102178_bib0059","doi-asserted-by":"crossref","first-page":"3402","DOI":"10.1523\/JNEUROSCI.3302-16.2017","article-title":"Development of the cerebral cortex across adolescence: a multisample study of inter-related longitudinal changes in cortical volume, surface area, and thickness","volume":"37","author":"Tamnes","year":"2017","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2020.102178_bib0060","unstructured":"Tozzi, Leonardo, Lisa Garczarek, Deborah Janowitz, Dan J. Stein, Katharina Wittfeld, Henrik Dobrowolny, Jim Lagopoulos, et\u00a0al. 2019. undefined\/ed. \u201cInteractive impact of childhood maltreatment, depression, and age on cortical brain structure: mega-analytic findings from a large multi-site cohort.\u201d Psychol. Med., 1\u201312. 10.1017\/S003329171900093X."},{"issue":"July","key":"10.1016\/j.nicl.2020.102178_bib0061","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.jpsychires.2016.03.001","article-title":"Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): rationale and design","volume":"78","author":"Trivedi","year":"2016","journal-title":"J. Psychiatr. Res."},{"issue":"12","key":"10.1016\/j.nicl.2020.102178_bib0062","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.2020.102178_bib0063","unstructured":"\u201cWHO | Depression.\u201d n.d. WHO. Accessed December12, 2018. http:\/\/www.who.int\/mental_health\/management\/depression\/en\/."},{"issue":"1","key":"10.1016\/j.nicl.2020.102178_bib0064","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.pscychresns.2015.09.014","article-title":"Increased prefrontal and parietal cortical thickness does not correlate with anhedonia in patients with untreated first-episode major depressive disorders","volume":"234","author":"Yang","year":"2015","journal-title":"Psychiat. Res.-Neuroimaging"},{"key":"10.1016\/j.nicl.2020.102178_bib0065","doi-asserted-by":"crossref","first-page":"72","DOI":"10.3389\/fpsyt.2016.00072","article-title":"Is there progress? An overview of selecting biomarker candidates for major depressive disorder","volume":"7","author":"Young","year":"2016","journal-title":"Front. Psychiatry"},{"issue":"11","key":"10.1016\/j.nicl.2020.102178_bib0066","doi-asserted-by":"crossref","first-page":"4213","DOI":"10.1002\/hbm.24241","article-title":"Statistical harmonization corrects site effects in functional connectivity measurements from multi-site FMRI data","volume":"39","author":"Yu","year":"2018","journal-title":"Hum. Brain Mapp."},{"issue":"July","key":"10.1016\/j.nicl.2020.102178_bib0067","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.ebiom.2017.06.013","article-title":"Gray matter abnormalities in non-comorbid medication-naive patients with major depressive disorder or social anxiety disorder","volume":"21","author":"Zhao","year":"2017","journal-title":"EBioMedicine"},{"issue":"January","key":"10.1016\/j.nicl.2020.102178_bib0068","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jpsychires.2016.09.009","article-title":"Effects of cigarette smoking on cortical thickness in major depressive disorder","volume":"84","author":"Zorlu","year":"2017","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.nicl.2020.102178_bib0069","article-title":"Asymmetry in cortical thickness and subcortical volume in treatment-na\u00efve major depressive disorder","volume":"21","author":"Zuo","year":"2019","journal-title":"NeuroImage\u00a0: Clinical"}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158220300127?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158220300127?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:27:33Z","timestamp":1761971253000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158220300127"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":69,"alternative-id":["S2213158220300127"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2020.102178","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":"An investigation of cortical thickness and antidepressant response in major depressive disorder: A CAN-BIND study report","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2020.102178","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"102178"}}