{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T00:34:20Z","timestamp":1785890060830,"version":"3.56.0"},"reference-count":103,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,5,1]],"date-time":"2023-05-01T00:00:00Z","timestamp":1682899200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T00:00:00Z","timestamp":1678147200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Affective Disorders"],"published-print":{"date-parts":[[2023,5]]},"DOI":"10.1016\/j.jad.2023.02.118","type":"journal-article","created":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T11:21:15Z","timestamp":1677583275000},"page":"257-272","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":17,"special_numbering":"C","title":["Biotypes of major depressive disorder identified by a multiview clustering framework"],"prefix":"10.1016","volume":"329","author":[{"given":"Xitian","family":"Chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengjia","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jad.2023.02.118_bb0005","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s00406-008-0834-7","article-title":"Does psychomotor agitation in major depressive episodes indicate bipolarity?","volume":"259","author":"Angst","year":"2009","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0010","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1176\/appi.ajp.2015.14020181","article-title":"Depression subtypes in predicting antidepressant response: a report from the iSPOT-D trial","volume":"172","author":"Arnow","year":"2015","journal-title":"Am. J. Psychiatr."},{"key":"10.1016\/j.jad.2023.02.118_bb0015","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","article-title":"A fast diffeomorphic image registration algorithm","volume":"38","author":"Ashburner","year":"2007","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0020","doi-asserted-by":"crossref","first-page":"9239","DOI":"10.1523\/JNEUROSCI.1929-08.2008","article-title":"Hierarchical organization of human cortical networks in health and schizophrenia","volume":"28","author":"Bassett","year":"2008","journal-title":"J. Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0025","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1093\/scan\/nsq080","article-title":"Depression, rumination and the default network","volume":"6","author":"Berman","year":"2011","journal-title":"Soc. Cogn. Affect. Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0030","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1111\/j.1440-1819.2009.02030.x","article-title":"Resting state default-mode network connectivity in early depression using a seed region-of-interest analysis: decreased connectivity with caudate nucleus","volume":"63","author":"Bluhm","year":"2009","journal-title":"Psychiatry Clin Neurosci"},{"key":"10.1016\/j.jad.2023.02.118_bb0035","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1038\/s41386-020-00789-3","article-title":"Dissecting diagnostic heterogeneity in depression by integrating neuroimaging and genetics","volume":"46","author":"Buch","year":"2021","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2023.02.118_bb0040","doi-asserted-by":"crossref","first-page":"R10","DOI":"10.1093\/hmg\/ddaa115","article-title":"Reviewing the genetics of heterogeneity in depression: operationalizations, manifestations and etiologies","volume":"29","author":"Cai","year":"2020","journal-title":"Hum. Mol. Genet."},{"key":"10.1016\/j.jad.2023.02.118_bb0045","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.bbr.2009.11.002","article-title":"Sensorimotor modulation of mood and depression: an integrative review","volume":"207","author":"Canbeyli","year":"2010","journal-title":"Behav. Brain Res."},{"key":"10.1016\/j.jad.2023.02.118_bb0050","first-page":"7","article-title":"Sensorimotor modulation of mood and depression: in search of an optimal mode of stimulation","author":"Canbeyli","year":"2013","journal-title":"Front Hum Neurosci"},{"key":"10.1016\/j.jad.2023.02.118_bb0055","doi-asserted-by":"crossref","first-page":"3296","DOI":"10.1093\/brain\/aww255","article-title":"Medial reward and lateral non-reward orbitofrontal cortex circuits change in opposite directions in depression","volume":"139","author":"Cheng","year":"2016","journal-title":"Brain"},{"key":"10.1016\/j.jad.2023.02.118_bb0060","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1176\/appi.ajp.2015.14091200","article-title":"Identification of distinct psychosis biotypes using brain-based biomarkers","volume":"173","author":"Clementz","year":"2016","journal-title":"Am. J. Psychiatr."},{"key":"10.1016\/j.jad.2023.02.118_bb0065","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1038\/nn.3470","article-title":"Multi-task connectivity reveals flexible hubs for adaptive task control","volume":"16","author":"Cole","year":"2013","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0070","doi-asserted-by":"crossref","first-page":"81","DOI":"10.31887\/DCNS.2020.22.1\/bcuthbert","article-title":"The role of RDoC in future classification of mental disorders","volume":"22","author":"Cuthbert","year":"2020","journal-title":"Dialogues Clin. Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0075","doi-asserted-by":"crossref","first-page":"941","DOI":"10.1007\/s00702-009-0243-8","article-title":"Neurotransmitters and prefrontal cortex\u2013limbic system interactions: implications for plasticity and psychiatric disorders","volume":"116","author":"del Arco","year":"2009","journal-title":"J. Neural Transm."},{"key":"10.1016\/j.jad.2023.02.118_bb0080","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.jad.2021.02.030","article-title":"Disrupted hemispheric connectivity specialization in patients with major depressive disorder: evidence from the REST-meta-MDD project","volume":"284","author":"Ding","year":"2021","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.02.118_bb0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2019.101796","article-title":"Evaluating the evidence for biotypes of depression: methodological replication and extension of","volume":"22","author":"Dinga","year":"2019","journal-title":"Neuroimage Clin"},{"key":"10.1016\/j.jad.2023.02.118_bb0090","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1159\/000477775","article-title":"Disturbances of embodiment as Core phenomena of depression in clinical practice","volume":"50","author":"Doerr-Zegers","year":"2017","journal-title":"Psychopathology"},{"key":"10.1016\/j.jad.2023.02.118_bb0095","article-title":"Compressed sensorimotor-to-transmodal hierarchical organization in schizophrenia","volume":"1\u201314","author":"Dong","year":"2021","journal-title":"Psychol. Med."},{"key":"10.1016\/j.jad.2023.02.118_bb0100","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.jad.2023.02.118_bb0105","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1016\/j.tics.2019.03.009","article-title":"The heterogeneity problem: approaches to identify psychiatric subtypes","volume":"23","author":"Feczko","year":"2019","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.jad.2023.02.118_bb0110","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.jad.2017.06.055","article-title":"Sample heterogeneity in unipolar depression as assessed by functional connectivity analyses is dominated by general disease effects","volume":"222","author":"Feder","year":"2017","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.02.118_bb0115","series-title":"From axons to identity: neurological explorations of the nature of the self","author":"Feinberg","year":"2009"},{"key":"10.1016\/j.jad.2023.02.118_bb0120","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pmed.1001547","article-title":"Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010","volume":"10","author":"Ferrari","year":"2013","journal-title":"PLoS Med."},{"key":"10.1016\/j.jad.2023.02.118_bb0125","series-title":"User\u2019s guide for the structured clinical interview for DSM-IV axis I disorders SCID-I: clinician version","author":"First","year":"1997"},{"key":"10.1016\/j.jad.2023.02.118_bb0130","first-page":"262","article-title":"The clinical applicability of functional connectivity in depression: pathways toward more targeted intervention","volume":"1","author":"Fischer","year":"2016","journal-title":"Biol. Psychiatry: Cogn. Neurosci. Neuroimaging"},{"key":"10.1016\/j.jad.2023.02.118_bb0135","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.neuroimage.2017.08.047","article-title":"Harmonization of multi-site diffusion tensor imaging data","volume":"161","author":"Fortin","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0140","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.neuroimage.2017.11.024","article-title":"Harmonization of cortical thickness measurements across scanners and sites","volume":"167","author":"Fortin","year":"2018","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0145","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/hbm.460010207","article-title":"Analysis of functional MRI time-series","volume":"1","author":"Friston","year":"1994","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.02.118_bb0150","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1002\/mrm.1910350312","article-title":"Movement-related effects in fMRI time-series","volume":"35","author":"Friston","year":"1996","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.jad.2023.02.118_bb0155","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/2045-5380-1-11","article-title":"Frontostriatal functional connectivity in major depressive disorder","volume":"1","author":"Furman","year":"2011","journal-title":"Biol. Mood Anxiety Disord."},{"key":"10.1016\/j.jad.2023.02.118_bb0160","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1016\/j.jaac.2013.04.003","article-title":"Striatum-based circuitry of adolescent depression and anhedonia","volume":"52","author":"Gabbay","year":"2013","journal-title":"J. Am. Acad. Child Adolesc. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0165","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1093\/schbul\/sbx095","article-title":"Developing a motor systems domain for the NIMH RDoC program","volume":"43","author":"Garvey","year":"2017","journal-title":"Schizophr. Bull."},{"key":"10.1016\/j.jad.2023.02.118_bb0170","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.pharmthera.2018.09.002","article-title":"Genetic variants in major depressive disorder: from pathophysiology to therapy","volume":"194","author":"Gonda","year":"2019","journal-title":"Pharmacol. Ther."},{"key":"10.1016\/j.jad.2023.02.118_bb0175","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/j.biopsych.2014.08.009","article-title":"Depression, neuroimaging and connectomics: a selective overview","volume":"77","author":"Gong","year":"2015","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0180","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119125","article-title":"The overlapping modular organization of human brain functional networks across the adult lifespan","volume":"253","author":"Gu","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.jad.2023.02.118_bb0185","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1590\/1516-4446-2020-0650","article-title":"Prevalence and correlates of major depressive disorder: a systematic review","volume":"42","author":"Guti\u00e9rrez-Rojas","year":"2020","journal-title":"Braz. J. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0190","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.pnpbp.2018.12.017","article-title":"Dysfunctional connectivity between raphe nucleus and subcortical regions presented opposite differences in bipolar disorder and major depressive disorder","volume":"92","author":"Han","year":"2019","journal-title":"Prog. Neuro-Psychopharmacol. Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0195","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.jad.2011.07.015","article-title":"Meta-review of depressive subtyping models","volume":"139","author":"Harald","year":"2012","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.02.118_bb0200","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1038\/mp.2011.23","article-title":"Discovering imaging endophenotypes for major depression","volume":"16","author":"Hasler","year":"2011","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0205","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.tins.2010.10.004","article-title":"Stuck in a rut: rethinking depression and its treatment","volume":"34","author":"Holtzheimer","year":"2011","journal-title":"Trends Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0210","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.jad.2014.09.001","article-title":"Psychomotor agitation in major depressive disorder is a predictive factor of mood-switching","volume":"170","author":"Iwanami","year":"2015","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.02.118_bb0215","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1038\/s41398-021-01619-w","article-title":"Altered resting-state functional connectome in major depressive disorder: a mega-analysis from the PsyMRI consortium","volume":"11","author":"Javaheripour","year":"2021","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0220","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1006\/nimg.2002.1132","article-title":"Improved optimization for the robust and accurate linear registration and motion correction of brain images","volume":"17","author":"Jenkinson","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0225","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"},{"key":"10.1016\/j.jad.2023.02.118_bb0230","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1001\/jamapsychiatry.2015.0071","article-title":"Large-scale network dysfunction in major depressive disorder","volume":"72","author":"Kaiser","year":"2015","journal-title":"JAMA Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0235","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1186\/s12888-018-1913-6","article-title":"Functional connectivity between the thalamus and the primary somatosensory cortex in major depressive disorder: a resting-state fMRI study","volume":"18","author":"Kang","year":"2018","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0240","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1016\/j.nicl.2014.12.017","article-title":"Specific functional connectivity alterations of the dorsal striatum in young people with depression","volume":"7","author":"Kerestes","year":"2015","journal-title":"Neuroimage Clin"},{"key":"10.1016\/j.jad.2023.02.118_bb0245","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.neulet.2011.04.062","article-title":"Are posterior default-mode networks more robust than anterior default-mode networks? Evidence from resting-state fMRI data analysis","volume":"498","author":"Kim","year":"2011","journal-title":"Neurosci. Lett."},{"key":"10.1016\/j.jad.2023.02.118_bb0250","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1497577.1497578","article-title":"Clustering high-dimensional data","volume":"3","author":"Kriegel","year":"2009","journal-title":"ACM Trans. Knowl. Discov. Data"},{"key":"10.1016\/j.jad.2023.02.118_bb0255","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1093\/schbul\/sbr151","article-title":"Resting-state brain activity in schizophrenia and major depression: a quantitative meta-analysis","volume":"39","author":"Kuhn","year":"2013","journal-title":"Schizophr. Bull."},{"key":"10.1016\/j.jad.2023.02.118_bb0260","doi-asserted-by":"crossref","DOI":"10.1016\/j.pnpbp.2020.110234","article-title":"Fronto-limbic neuroimaging biomarkers for diagnosis and prediction of treatment responses in major depressive disorder","volume":"107","author":"Lai","year":"2021","journal-title":"Prog. Neuro-Psychopharmacol. Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0265","doi-asserted-by":"crossref","first-page":"489","DOI":"10.3109\/15622975.2011.575178","article-title":"Tinnitus and depression","volume":"12","author":"Langguth","year":"2011","journal-title":"World J. Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0270","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.neuroimage.2012.06.061","article-title":"Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse partial least squares","volume":"63","author":"le Floch","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0275","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2020.102514","article-title":"Biotypes of major depressive disorder: neuroimaging evidence from resting-state default mode network patterns","volume":"28","author":"Liang","year":"2020","journal-title":"Neuroimage Clin"},{"key":"10.1016\/j.jad.2023.02.118_bb0280","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.neuroimage.2017.02.036","article-title":"The global signal in fMRI: nuisance or information?","volume":"150","author":"Liu","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0285","doi-asserted-by":"crossref","DOI":"10.1016\/j.pnpbp.2020.109889","article-title":"Anomalous intrinsic connectivity within and between visual and auditory networks in major depressive disorder","volume":"100","author":"Lu","year":"2020","journal-title":"Prog. Neuro-Psychopharmacol. Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0290","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.biopsych.2020.01.012","article-title":"Causes and consequences of diagnostic heterogeneity in depression: paths to discovering novel biological depression subtypes","volume":"88","author":"Lynch","year":"2020","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0295","article-title":"Resting-state functional connectivity bias of middle temporal gyrus and caudate with altered gray matter volume in major depression","volume":"7","author":"Ma","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.jad.2023.02.118_bb0300","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1002\/hbm.24802","article-title":"Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis","volume":"41","author":"Maglanoc","year":"2020","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.02.118_bb0305","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118408","article-title":"Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data","volume":"241","author":"Mahadevan","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0310","doi-asserted-by":"crossref","first-page":"12574","DOI":"10.1073\/pnas.1608282113","article-title":"Situating the default-mode network along a principal gradient of macroscale cortical organization","volume":"113","author":"Margulies","year":"2016","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"10.1016\/j.jad.2023.02.118_bb0315","doi-asserted-by":"crossref","first-page":"4824","DOI":"10.1073\/pnas.1517558113","article-title":"Contrasting variability patterns in the default mode and sensorimotor networks balance in bipolar depression and mania","volume":"113","author":"Martino","year":"2016","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"10.1016\/j.jad.2023.02.118_bb0320","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1016\/j.neuroimage.2011.05.051","article-title":"Antidepressant medications reduce subcortical\u2013cortical resting-state functional connectivity in healthy volunteers","volume":"57","author":"McCabe","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0325","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1017\/S0033291704002806","article-title":"Co-morbidity and stability of melancholic features in DSM-IV major depressive disorder","volume":"34","author":"Melartin","year":"2004","journal-title":"Psychol. Med."},{"key":"10.1016\/j.jad.2023.02.118_bb0330","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1093\/schbul\/sbx087","article-title":"What can different motor circuits tell us about Psychosis? An RDoC perspective","volume":"43","author":"Mittal","year":"2017","journal-title":"Schizophr. Bull."},{"key":"10.1016\/j.jad.2023.02.118_bb0335","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1016\/j.neubiorev.2015.07.014","article-title":"Resting-state functional connectivity in major depressive disorder: a review","volume":"56","author":"Mulders","year":"2015","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.jad.2023.02.118_bb0340","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.jneumeth.2014.08.001","article-title":"Visualization and unsupervised predictive clustering of high-dimensional multimodal neuroimaging data","volume":"236","author":"Mwangi","year":"2014","journal-title":"J. Neurosci. Methods"},{"key":"10.1016\/j.jad.2023.02.118_bb0345","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1016\/j.neubiorev.2010.12.007","article-title":"The \u2018resting-state hypothesis\u2019 of major depressive disorder\u2014a translational subcortical\u2013cortical framework for a system disorder","volume":"35","author":"Northoff","year":"2011","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.jad.2023.02.118_bb0350","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1038\/s41380-020-0814-5","article-title":"All roads lead to the motor cortex: psychomotor mechanisms and their biochemical modulation in psychiatric disorders","volume":"26","author":"Northoff","year":"2021","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0355","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1111\/jcpp.13543","article-title":"Annual research review: the contributions of the RDoC research framework on understanding the neurodevelopmental origins, progression and treatment of mental illnesses","volume":"63","author":"Pacheco","year":"2022","journal-title":"J. Child Psychol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0360","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1145\/1007730.1007731","article-title":"Subspace clustering for high dimensional data","volume":"6","author":"Parsons","year":"2004","journal-title":"ACM SIGKDD Explorations Newsletter"},{"key":"10.1016\/j.jad.2023.02.118_bb0365","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1016\/j.neuron.2011.09.006","article-title":"Functional network organization of the human brain","volume":"72","author":"Power","year":"2011","journal-title":"Neuron"},{"key":"10.1016\/j.jad.2023.02.118_bb0370","doi-asserted-by":"crossref","first-page":"2142","DOI":"10.1016\/j.neuroimage.2011.10.018","article-title":"Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion","volume":"59","author":"Power","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0375","doi-asserted-by":"crossref","first-page":"2623","DOI":"10.1038\/npp.2017.97","article-title":"Data-driven subgroups in depression derived from directed functional connectivity paths at rest","volume":"42","author":"Price","year":"2017","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2023.02.118_bb0380","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2105730118","article-title":"Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression","volume":"118","author":"Ray","year":"2021","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"10.1016\/j.jad.2023.02.118_bb0385","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1097\/00019442-200205000-00010","article-title":"Activity loss and depression in age-related macular degeneration","volume":"10","author":"Rovner","year":"2002","journal-title":"Am. J. Geriatr. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0390","article-title":"An examination of psychomotor disturbance in current and remitted MDD: an RDoC study","volume":"5","author":"Shankman","year":"2020","journal-title":"J. Psychiatr. Brain Sci."},{"key":"10.1016\/j.jad.2023.02.118_bb0395","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"Bell Syst. Tech. J."},{"key":"10.1016\/j.jad.2023.02.118_bb0400","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1073\/pnas.0812686106","article-title":"The default mode network and self-referential processes in depression","volume":"106","author":"Sheline","year":"2009","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jad.2023.02.118_bb0405","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1038\/s41583-021-00474-4","article-title":"The default mode network in cognition: a topographical perspective","volume":"22","author":"Smallwood","year":"2021","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0410","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1146\/annurev-psych-122414-033634","article-title":"Modular brain networks","volume":"67","author":"Sporns","year":"2016","journal-title":"Annu. Rev. Psychol."},{"key":"10.1016\/j.jad.2023.02.118_bb0415","doi-asserted-by":"crossref","first-page":"2820","DOI":"10.1016\/j.neuron.2021.06.016","article-title":"Neurodevelopment of the association cortices: patterns, mechanisms, and implications for psychopathology","volume":"109","author":"Sydnor","year":"2021","journal-title":"Neuron"},{"key":"10.1016\/j.jad.2023.02.118_bb0420","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2021.565136","article-title":"Resting state functional connectivity biomarkers of treatment response in mood disorders: a review","volume":"12","author":"Taylor","year":"2021","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0425","doi-asserted-by":"crossref","first-page":"14082","DOI":"10.1038\/s41598-018-32521-z","article-title":"Identification of depression subtypes and relevant brain regions using a data-driven approach","volume":"8","author":"Tokuda","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jad.2023.02.118_bb0430","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2021.683280","article-title":"Clustering of multiple psychiatric disorders using functional connectivity in the data-driven brain subnetwork","volume":"12","author":"Tokuda","year":"2021","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0435","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1002\/hbm.20531","article-title":"Functional connectivity of default mode network components: correlation, anticorrelation, and causality","volume":"30","author":"Uddin","year":"2009","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.02.118_bb0440","first-page":"11","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"10.1016\/j.jad.2023.02.118_bb0445","doi-asserted-by":"crossref","first-page":"1408","DOI":"10.1016\/j.neuroimage.2009.05.005","article-title":"Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies","volume":"47","author":"Weissenbacher","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0450","doi-asserted-by":"crossref","first-page":"742","DOI":"10.1001\/archpsyc.1988.01800320058007","article-title":"A structured interview guide for the Hamilton depression rating scale","volume":"45","author":"Williams","year":"1988","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0455","doi-asserted-by":"crossref","DOI":"10.1016\/j.brat.2021.103960","article-title":"Resting state functional connectivity subtypes predict discrete patterns of cognitive-affective functioning across levels of analysis among patients with treatment-resistant depression","volume":"146","author":"Woody","year":"2021","journal-title":"Behav. Res. Ther."},{"key":"10.1016\/j.jad.2023.02.118_bb0460","article-title":"BrainNet viewer: a network visualization tool for human brain connectomics","volume":"8","author":"Xia","year":"2013","journal-title":"PLoS One"},{"key":"10.1016\/j.jad.2023.02.118_bb0465","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1016\/j.neuroimage.2019.01.074","article-title":"Reproducibility of functional brain alterations in major depressive disorder: evidence from a multisite resting-state functional MRI study with 1,434 individuals","volume":"189","author":"Xia","year":"2019","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0470","first-page":"4","article-title":"DPARSF: a MATLAB toolbox for \u201cpipeline\u201d data analysis of resting-state fMRI","author":"Yan","year":"2010","journal-title":"Frontiers in System Neuroscience"},{"key":"10.1016\/j.jad.2023.02.118_bb0475","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.neuroimage.2013.03.004","article-title":"A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics","volume":"76","author":"Yan","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.02.118_bb0480","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1007\/s12021-016-9299-4","article-title":"DPABI: data processing & analysis for (resting-state) brain imaging","volume":"14","author":"Yan","year":"2016","journal-title":"Neuroinformatics"},{"key":"10.1016\/j.jad.2023.02.118_bb0485","doi-asserted-by":"crossref","first-page":"9078","DOI":"10.1073\/pnas.1900390116","article-title":"Reduced default mode network functional connectivity in patients with recurrent major depressive disorder","volume":"116","author":"Yan","year":"2019","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"10.1016\/j.jad.2023.02.118_bb0490","doi-asserted-by":"crossref","first-page":"7363","DOI":"10.1038\/s41380-021-01247-2","article-title":"Disrupted intrinsic functional brain topology in patients with major depressive disorder","volume":"26","author":"Yang","year":"2021","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0495","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.jpsychires.2018.09.010","article-title":"Leveraging genome-wide association and clinical data in revealing schizophrenia subgroups","volume":"106","author":"Yin","year":"2018","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.jad.2023.02.118_bb0500","doi-asserted-by":"crossref","DOI":"10.1038\/tp.2017.102","article-title":"A latent genetic subtype of major depression identified by whole-exome genotyping data in a mexican-american cohort","volume":"7","author":"Yu","year":"2017","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.jad.2023.02.118_bb0505","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."},{"key":"10.1016\/j.jad.2023.02.118_bb0510","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2016.00243","article-title":"Influences of head motion regression on high-frequency oscillation amplitudes of resting-state fMRI signals","volume":"10","author":"Yuan","year":"2016","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.jad.2023.02.118_bb0515","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.jad.2015.12.081","article-title":"Abnormal functional connectivity density in first-episode, drug-naive adult patients with major depressive disorder","volume":"194","author":"Zou","year":"2016","journal-title":"J. Affect. Disord."}],"container-title":["Journal of Affective Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032723002860?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032723002860?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T03:56:00Z","timestamp":1759031760000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165032723002860"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5]]},"references-count":103,"alternative-id":["S0165032723002860"],"URL":"https:\/\/doi.org\/10.1016\/j.jad.2023.02.118","relation":{},"ISSN":["0165-0327"],"issn-type":[{"value":"0165-0327","type":"print"}],"subject":[],"published":{"date-parts":[[2023,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Biotypes of major depressive disorder identified by a multiview clustering framework","name":"articletitle","label":"Article Title"},{"value":"Journal of Affective Disorders","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jad.2023.02.118","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}