{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,27]],"date-time":"2026-10-27T19:47:13Z","timestamp":1793130433045,"version":"4.5.0"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,5,1]],"date-time":"2022-05-01T00:00:00Z","timestamp":1651363200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T00:00:00Z","timestamp":1649721600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005710","name":"Universiti Teknologi PETRONAS","doi-asserted-by":"publisher","award":["RCA-2017-0763"],"award-info":[{"award-number":["RCA-2017-0763"]}],"id":[{"id":"10.13039\/501100005710","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001352","name":"National University of Singapore","doi-asserted-by":"publisher","award":["R-722-000-004-731"],"award-info":[{"award-number":["R-722-000-004-731"]}],"id":[{"id":"10.13039\/501100001352","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001352","name":"National University of Singapore","doi-asserted-by":"publisher","award":["R-177-000-003-001"],"award-info":[{"award-number":["R-177-000-003-001"]}],"id":[{"id":"10.13039\/501100001352","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100015515","name":"Kementerian Pendidikan Malaysia","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100015515","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","thelancet.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["eBioMedicine"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1016\/j.ebiom.2022.104027","type":"journal-article","created":{"date-parts":[[2022,4,28]],"date-time":"2022-04-28T06:20:55Z","timestamp":1651126855000},"page":"104027","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":63,"special_numbering":"C","title":["Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches"],"prefix":"10.1016","volume":"79","author":[{"given":"Zhifei","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roger S.","family":"McIntyre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Syeda F.","family":"Husain","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roger","family":"Ho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bach X.","family":"Tran","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hien Thu","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuenn-Chiang","family":"Soo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cyrus S.","family":"Ho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nanguang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ebiom.2022.104027_bib0001","doi-asserted-by":"crossref","first-page":"727","DOI":"10.3389\/fpsyt.2018.00727","article-title":"Quality of life in patients with a major mental disorder in Singapore","volume":"9","author":"Choo","year":"2018","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.ebiom.2022.104027_bib0002","unstructured":"Institute of Health Metrics and Evaluation. Global Health Data Exchange (GHDx). Available from: http:\/\/ghdx.healthdata.org\/gbd-results-tool?params=gbd-api-2019-permalink\/d780dffbe8a381b25e1416884959e88b. Accessed 9 April 2022."},{"key":"10.1016\/j.ebiom.2022.104027_bib0003","series-title":"Depression and other Common Mental Disorders: Global Health Estimates","year":"2017"},{"issue":"1","key":"10.1016\/j.ebiom.2022.104027_bib0004","first-page":"10","article-title":"Depression increases the risk for uncontrolled hypertension","volume":"18","author":"Rubio-Guerra","year":"2013","journal-title":"Exp Clin Cardiol"},{"issue":"8","key":"10.1016\/j.ebiom.2022.104027_bib0005","doi-asserted-by":"crossref","first-page":"861","DOI":"10.2217\/bmm-2016-0076","article-title":"Seeking an objective diagnosis of depression","volume":"10","author":"Bilello","year":"2016","journal-title":"Biomark Med"},{"issue":"7692","key":"10.1016\/j.ebiom.2022.104027_bib0006","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1038\/nature25752","article-title":"Astroglial Kir4. 1 in the lateral habenula drives neuronal bursts in depression","volume":"554","author":"Cui","year":"2018","journal-title":"Nature"},{"key":"10.1016\/j.ebiom.2022.104027_bib0007","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.ajp.2017.02.009","article-title":"Functional near infra-red spectroscopy (fNIRS) in schizophrenia: a review","volume":"27","author":"Kumar","year":"2017","journal-title":"Asian J Psychiatry"},{"key":"10.1016\/j.ebiom.2022.104027_bib0008","doi-asserted-by":"crossref","first-page":"350","DOI":"10.3389\/fneur.2018.00350","article-title":"Shining a light on awareness: a review of functional near-infrared spectroscopy for prolonged disorders of consciousness","author":"Rupawala","year":"2018","journal-title":"Front Neurol"},{"issue":"12","key":"10.1016\/j.ebiom.2022.104027_bib0009","doi-asserted-by":"crossref","first-page":"466","DOI":"10.3390\/jcm7120466","article-title":"Applications of functional near-infrared spectroscopy (fNIRS) neuroimaging in exercise\u2013cognition science: a systematic, methodology-focused review","volume":"7","author":"Herold","year":"2018","journal-title":"J Clin Med"},{"issue":"5","key":"10.1016\/j.ebiom.2022.104027_bib0010","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1192\/apt.bp.115.015610","article-title":"Functional near-infrared spectroscopy in psychiatry","volume":"23","author":"Lai","year":"2017","journal-title":"BJPsych Adv"},{"issue":"7","key":"10.1016\/j.ebiom.2022.104027_bib0011","first-page":"801","article-title":"Clinical application of near-infrared spectroscopy (NIRS) in psychiatry: the advanced medical technology for differential diagnosis of depressive state","volume":"114","author":"Fukuda","year":"2012","journal-title":"Seishin Shinkeigaku Zasshi Psychiatr Neurol Jpn"},{"issue":"1","key":"10.1016\/j.ebiom.2022.104027_bib0012","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1111\/pcn.12209","article-title":"Near-infrared spectroscopy for examination of prefrontal activation during cognitive tasks in patients with major depressive disorder: a meta-analysis of observational studies","volume":"69","author":"Zhang","year":"2015","journal-title":"Psychiatry Clin Neurosci"},{"key":"10.1016\/j.ebiom.2022.104027_bib0013","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.neuroimage.2013.06.016","article-title":"Statistical analysis of fNIRS data: a comprehensive review","volume":"85","author":"Tak","year":"2014","journal-title":"Neuroimage"},{"issue":"2","key":"10.1016\/j.ebiom.2022.104027_bib0014","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1002\/wps.20882","article-title":"The promise of machine learning in predicting treatment outcomes in psychiatry","volume":"20","author":"Chekroud","year":"2021","journal-title":"World Psychiatry"},{"issue":"8","key":"10.1016\/j.ebiom.2022.104027_bib0015","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1176\/appi.ajp.2020.20030250","article-title":"Evaluating the machine learning literature: a primer and user's guide for psychiatrists","volume":"178","author":"Grzenda","year":"2021","journal-title":"Am J Psychiatry"},{"issue":"2","key":"10.1016\/j.ebiom.2022.104027_bib0016","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1001\/jamapsychiatry.2020.3604","article-title":"Multimodal machine learning workflows for prediction of psychosis in patients with clinical high-risk syndromes and recent-onset depression","volume":"78","author":"Koutsouleris","year":"2021","journal-title":"JAMA Psychiatry"},{"issue":"4","key":"10.1016\/j.ebiom.2022.104027_bib0017","doi-asserted-by":"crossref","first-page":"961","DOI":"10.1109\/TNSRE.2020.2972270","article-title":"Classifying major depressive disorder using fNIRS during motor rehabilitation","volume":"28","author":"Zhu","year":"2020","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"issue":"1","key":"10.1016\/j.ebiom.2022.104027_bib0018","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-66784-2","article-title":"Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder","volume":"10","author":"Husain","year":"2020","journal-title":"Sci Rep"},{"key":"10.1016\/j.ebiom.2022.104027_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.ebiom.2019.11.047","article-title":"Cortical haemodynamic response measured by functional near infrared spectroscopy during a verbal fluency task in patients with major depression and borderline personality disorder","volume":"51","author":"Husain","year":"2020","journal-title":"EBioMedicine"},{"key":"10.1016\/j.ebiom.2022.104027_bib0020","unstructured":"First M., Williams J., Karg R., Spitzer R. Structured clinical interview for DSM-5 disorders. Clinical Trials Vers (SCID-5-CT) 2015."},{"issue":"1","key":"10.1016\/j.ebiom.2022.104027_bib0021","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1136\/jnnp.23.1.56","article-title":"A rating scale for depression","volume":"23","author":"Hamilton","year":"1960","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"10.1016\/j.ebiom.2022.104027_bib0022","first-page":"591","article-title":"Diagnostic and statistical manual of mental disorders","volume":"21","author":"Edition","year":"2013","journal-title":"Am Psychiatr Assoc"},{"issue":"1","key":"10.1016\/j.ebiom.2022.104027_bib0023","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1176\/appi.ajp.2009.09010118","article-title":"Specific and generalized neuropsychological deficits: a comparison of patients with various first-episode psychosis presentations","volume":"167","author":"Zanelli","year":"2010","journal-title":"Am J Psychiatry"},{"issue":"5","key":"10.1016\/j.ebiom.2022.104027_bib0024","doi-asserted-by":"crossref","first-page":"N91","DOI":"10.1088\/0031-9155\/51\/5\/N02","article-title":"The modified Beer-Lambert law revisited","volume":"51","author":"Kocsis","year":"2006","journal-title":"Phys Med Biol"},{"issue":"2","key":"10.1016\/j.ebiom.2022.104027_bib0025","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1006\/nimg.2002.1227","article-title":"A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation","volume":"17","author":"Strangman","year":"2002","journal-title":"Neuroimage"},{"issue":"5","key":"10.1016\/j.ebiom.2022.104027_bib0026","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1152\/jappl.2001.90.5.1657","article-title":"Interpretation of near-infrared spectroscopy signals: a study with a newly developed perfused rat brain model","volume":"90","author":"Hoshi","year":"2001","journal-title":"J Appl Physiol"},{"issue":"4","key":"10.1016\/j.ebiom.2022.104027_bib0027","doi-asserted-by":"crossref","DOI":"10.1117\/1.NPh.4.4.041403","article-title":"Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks","volume":"4","author":"Herold","year":"2017","journal-title":"Neurophotonics"},{"key":"10.1016\/j.ebiom.2022.104027_bib0028","doi-asserted-by":"crossref","DOI":"10.1155\/2011\/879716","article-title":"\u201cBrainstorm: A user-friendly application for MEG\/EEG analysis\u201d","author":"Tadel","year":"2011","journal-title":"Comput Intell Neurosci"},{"key":"10.1016\/j.ebiom.2022.104027_bib0029","unstructured":"Nirstorm - Brainstorm plugin for fNIRS data analysis. Available online: https:\/\/github.com\/Nirstorm\/nirstorm. Accessed 9 April 2022."},{"issue":"4","key":"10.1016\/j.ebiom.2022.104027_bib0030","first-page":"889","article-title":"A genetic algorithm-based feature selection","volume":"5","author":"Oluleye","year":"2014","journal-title":"Int J Electron Commun Comput Eng"},{"key":"10.1016\/j.ebiom.2022.104027_bib0031","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1016\/j.neuroimage.2005.05.019","article-title":"Spatial registration of multichannel multi-subject fNIRS data to MNI space without MRI","volume":"27","author":"Singh","year":"2005","journal-title":"Neuroimage"},{"key":"10.1016\/j.ebiom.2022.104027_bib0032","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuropsychologia.2020.107397","article-title":"The neural correlates of reaching focal points","volume":"140","author":"Chowdhury","year":"2020","journal-title":"Neuropsychologia"},{"issue":"1","key":"10.1016\/j.ebiom.2022.104027_bib0033","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1016\/j.neuroimage.2013.05.126","article-title":"Neuroimaging-aided differential diagnosis of the depressive state","volume":"85","author":"Takizawa","year":"2014","journal-title":"Neuroimage"},{"issue":"11","key":"10.1016\/j.ebiom.2022.104027_bib0034","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1111\/cns.13048","article-title":"Machine learning in major depression: From classification to treatment outcome prediction","volume":"24","author":"Gao","year":"2018","journal-title":"CNS Neurosci Ther"},{"issue":"4","key":"10.1016\/j.ebiom.2022.104027_bib0035","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1007\/s00406-020-01125-y","article-title":"Functional near-infrared spectroscopy (fNIRS) as a tool to assist the diagnosis of major psychiatric disorders in a Chinese population","volume":"271","author":"Wei","year":"2021","journal-title":"Eur Arch Psychiatry Clin Neurosci"},{"issue":"7","key":"10.1016\/j.ebiom.2022.104027_bib0036","doi-asserted-by":"crossref","first-page":"3395","DOI":"10.1038\/s41380-021-01051-y","article-title":"Peripheral inflammatory biomarkers define biotypes of bipolar depression","volume":"26","author":"Lee","year":"2021","journal-title":"Mol Psychiatry"},{"issue":"1","key":"10.1016\/j.ebiom.2022.104027_bib0037","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-30353-5","article-title":"Laplace-domain diffuse optical measurement","volume":"8","author":"Hasnain","year":"2018","journal-title":"Sci Rep"},{"issue":"4","key":"10.1016\/j.ebiom.2022.104027_bib0038","doi-asserted-by":"crossref","DOI":"10.1117\/1.JBO.22.4.045005","article-title":"Spread spectrum time-resolved diffuse optical measurement system for enhanced sensitivity in detecting human brain activity","volume":"22","author":"Mehta","year":"2017","journal-title":"J Biomed Opt"}],"container-title":["eBioMedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352396422002110?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352396422002110?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T19:34:46Z","timestamp":1778873686000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352396422002110"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5]]},"references-count":38,"alternative-id":["S2352396422002110"],"URL":"https:\/\/doi.org\/10.1016\/j.ebiom.2022.104027","relation":{},"ISSN":["2352-3964"],"issn-type":[{"value":"2352-3964","type":"print"}],"subject":[],"published":{"date-parts":[[2022,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches","name":"articletitle","label":"Article Title"},{"value":"eBioMedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ebiom.2022.104027","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"104027"}}