{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T02:27:00Z","timestamp":1789439220158,"version":"build-2803163510"},"reference-count":98,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M713524"],"award-info":[{"award-number":["2022M713524"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["2018SHZDZX01"],"award-info":[{"award-number":["2018SHZDZX01"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31671144"],"award-info":[{"award-number":["31671144"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81471104"],"award-info":[{"award-number":["81471104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"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":[[2023,9]]},"DOI":"10.1016\/j.jad.2023.05.074","type":"journal-article","created":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T02:18:51Z","timestamp":1685067531000},"page":"159-168","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":26,"special_numbering":"C","title":["Trait- and state-like co-activation pattern dynamics in current and remitted major depressive disorder"],"prefix":"10.1016","volume":"337","author":[{"given":"Chengwen","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emily L.","family":"Belleau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daifeng","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqiang","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ge","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diego A.","family":"Pizzagalli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Randy P.","family":"Auerbach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuqiao","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jad.2023.05.074_bb0005","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1186\/s12888-014-0334-4","article-title":"More rumination and less effective emotion regulation in previously depressed women with preserved executive functions","volume":"14","author":"Aker","year":"2014","journal-title":"BMC Psychiat."},{"key":"10.1016\/j.jad.2023.05.074_bb0010","article-title":"The dynamics of functional brain networks associated with depressive symptoms in a nonclinical sample","volume":"14","author":"Alonso Mart\u00ednez","year":"2020","journal-title":"Front. Neur. Circ."},{"key":"10.1016\/j.jad.2023.05.074_bb0015","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1111\/nyas.12360","article-title":"The default network and self-generated thought: component processes, dynamic control, and clinical relevance","volume":"1316","author":"Andrews-Hanna","year":"2014","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"10.1016\/j.jad.2023.05.074_bb0020","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jpsychires.2015.02.025","article-title":"Reduced default mode network suppression during a working memory task in remitted major depression","volume":"64","author":"Bartova","year":"2015","journal-title":"J. Psychiatr. Res."},{"key":"10.1016\/j.jad.2023.05.074_bb0025","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1176\/appi.ajp.2008.08050721","article-title":"The evolution of the cognitive model of depression and its neurobiological correlates","volume":"165","author":"Beck","year":"2008","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0030","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1177\/2167702616628523","article-title":"A unified model of depression: integrating clinical, cognitive, biological, and evolutionary perspectives","volume":"4","author":"Beck","year":"2016","journal-title":"Clin. Psychol. Sci."},{"key":"10.1016\/j.jad.2023.05.074_bb0035","series-title":"Manual for the Beck Depression Inventory-II","author":"Beck","year":"1996"},{"key":"10.1016\/j.jad.2023.05.074_bb0040","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1016\/j.cpr.2005.03.003","article-title":"Cognitive vulnerability to depression: a dual process model","volume":"25","author":"Beevers","year":"2005","journal-title":"Clin. Psychol. Rev."},{"key":"10.1016\/j.jad.2023.05.074_bb0045","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.2023.05.074_bb0050","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1016\/j.tins.2020.06.005","article-title":"Tapping into multi-faceted human behavior and psychopathology using fMRI brain dynamics","volume":"43","author":"Bolton","year":"2020","journal-title":"Trends Neurosci."},{"key":"10.1016\/j.jad.2023.05.074_bb0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.116621","article-title":"TbCAPs: a toolbox for co-activation pattern analysis","volume":"211","author":"Bolton","year":"2020","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.05.074_bb0060","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1002\/hbm.22646","article-title":"Spatial and temporal functional connectivity changes between resting and attentive states: connectivity changes between rest and attention","volume":"36","author":"Bray","year":"2015","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.05.074_bb0065","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1080\/15374410709336568","article-title":"Subtypes of rumination in adolescence: associations between brooding, reflection, depressive symptoms, and coping","volume":"36","author":"Burwell","year":"2007","journal-title":"J. Clin. Child Adolesc. Psychol."},{"key":"10.1016\/j.jad.2023.05.074_bb0070","first-page":"84","article-title":"Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: models and mechanisms","volume":"160","author":"Cabral","year":"2017","journal-title":"NeuroImage Funct. Arch. Brain"},{"key":"10.1016\/j.jad.2023.05.074_bb0075","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","article-title":"The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery","volume":"84","author":"Calhoun","year":"2014","journal-title":"Neuron"},{"key":"10.1016\/j.jad.2023.05.074_bb0080","first-page":"849","article-title":"Altered intrinsic functional brain architecture in children at familial risk of major depression","volume":"80","author":"Chai","year":"2016","journal-title":"Biol. Psychiat. Novel Signal. Mech. Depress."},{"key":"10.1016\/j.jad.2023.05.074_bb0085","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1016\/j.neuroimage.2015.01.057","article-title":"Introducing co-activation pattern metrics to quantify spontaneous brain network dynamics","volume":"111","author":"Chen","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.05.074_bb0090","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1006\/cbmr.1996.0014","article-title":"AFNI: software for analysis and visualization of functional magnetic resonance neuroimages","volume":"29","author":"Cox","year":"1996","journal-title":"Comput. Biomed. Res."},{"key":"10.1016\/j.jad.2023.05.074_bb0095","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1093\/brain\/aww326","article-title":"Multidimensional prediction of treatment response to antidepressants with cognitive control and functional MRI","volume":"140","author":"Crane","year":"2017","journal-title":"Brain"},{"key":"10.1016\/j.jad.2023.05.074_bb0100","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1038\/nrn2961","article-title":"Emerging concepts for the dynamical organization of resting-state activity in the brain","volume":"12","author":"Deco","year":"2011","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.jad.2023.05.074_bb0105","doi-asserted-by":"crossref","first-page":"2918","DOI":"10.1002\/hbm.23215","article-title":"Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder","volume":"37","author":"Demirta\u015f","year":"2016","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.05.074_bb0110","doi-asserted-by":"crossref","first-page":"E1598","DOI":"10.1073\/pnas.1715766115","article-title":"Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks","volume":"115","author":"Dixon","year":"2018","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jad.2023.05.074_bb0115","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.jad.2019.03.030","article-title":"Topologically state-independent and dependent functional connectivity patterns in current and remitted depression","volume":"250","author":"Dong","year":"2019","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.05.074_bb0120","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.pnpbp.2018.08.031","article-title":"State-independent alterations of intrinsic brain network in current and remitted depression","volume":"89","author":"Dong","year":"2019","journal-title":"Prog. Neuro-Psychopharmacol. Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0125","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1007\/s11920-019-1072-6","article-title":"Intrinsic brain network biomarkers of antidepressant response: a review","volume":"21","author":"Dunlop","year":"2019","journal-title":"Curr. Psychiat. Rep."},{"key":"10.1016\/j.jad.2023.05.074_bb0130","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1001\/archpsyc.65.5.513","article-title":"Population-based study of First onset and chronicity in major depressive disorder","volume":"65","author":"Eaton","year":"2008","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0135","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.jad.2015.09.011","article-title":"Altered resting-state functional connectivity in late-life depression: a cross-sectional study","volume":"189","author":"Eyre","year":"2016","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.05.074_bb0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2022.102969","article-title":"Static and treatment-responsive brain biomarkers of depression relapse vulnerability following prophylactic psychotherapy: evidence from a randomized control trial","volume":"34","author":"Farb","year":"2022","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.jad.2023.05.074_bb0145","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1002\/hbm.24559","article-title":"Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder","volume":"40","author":"Figueroa","year":"2019","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.05.074_bb0150","series-title":"Structured Clinical Interview for DSM-IV-TR Axis I Disorders","author":"First","year":"2002"},{"key":"10.1016\/j.jad.2023.05.074_bb0155","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 Brain Connect. Psychopathol."},{"key":"10.1016\/j.jad.2023.05.074_bb0160","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1001\/archpsyc.1991.01810330075011","article-title":"Conceptualization and rationale for consensus definitions of terms in major depressive disorder: remission, recovery, relapse, and recurrence","volume":"48","author":"Frank","year":"1991","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0165","doi-asserted-by":"crossref","first-page":"4867","DOI":"10.1093\/cercor\/bhab047","article-title":"Whole-brain functional dynamics track depressive symptom severity","volume":"31","author":"Goodman","year":"2021","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.jad.2023.05.074_bb0170","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.neubiorev.2019.04.011","article-title":"Motivation and cognitive control in depression","volume":"102","author":"Grahek","year":"2019","journal-title":"Neurosci. Biobehav. Rev."},{"key":"10.1016\/j.jad.2023.05.074_bb0175","first-page":"429","article-title":"Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus","volume":"62","author":"Greicius","year":"2007","journal-title":"Biol. Psychiat. Neurocirc. Neuroplast. Abnorm. Mood Anxiety Disord."},{"key":"10.1016\/j.jad.2023.05.074_bb0180","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.neuroimage.2017.01.003","article-title":"Optimal trajectories of brain state transitions","volume":"148","author":"Gu","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.05.074_bb0185","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.biopsych.2015.02.020","article-title":"Depressive rumination, the default-mode network, and the dark matter of clinical neuroscience","volume":"78","author":"Hamilton","year":"2015","journal-title":"Biol. Psychiat. Depress."},{"key":"10.1016\/j.jad.2023.05.074_bb0190","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.jad.2023.05.074_bb0195","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1162\/netn_a_00041","article-title":"Putting the \u201cdynamic\u201d back into dynamic functional connectivity","volume":"02","author":"Heitmann","year":"2018","journal-title":"Netw. Neurosci."},{"key":"10.1016\/j.jad.2023.05.074_bb0200","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.2023.05.074_bb0205","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.neuroimage.2013.05.079","article-title":"Dynamic functional connectivity: promise, issues, and interpretations","volume":"80","author":"Hutchison","year":"2013","journal-title":"NeuroImage Mapp. Connect."},{"key":"10.1016\/j.jad.2023.05.074_bb0210","series-title":"Cognitive Vulnerability to Depression","author":"Ingram","year":"1998"},{"key":"10.1016\/j.jad.2023.05.074_bb0215","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1017\/S0033291715002615","article-title":"Decoupling of the amygdala to other salience network regions in adolescent-onset recurrent major depressive disorder","volume":"46","author":"Jacobs","year":"2016","journal-title":"Psychol. Med."},{"key":"10.1016\/j.jad.2023.05.074_bb0220","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1002\/hbm.24808","article-title":"Dynamic functioning of transient resting-state coactivation networks in the Human Connectome Project","volume":"41","author":"Janes","year":"2020","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.05.074_bb0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.pscychresns.2021.111356","article-title":"Trait and state alterations in excitatory connectivity between subgenual anterior cingulate cortex and cerebellum in patients with current and remitted depression","volume":"317","author":"Ji","year":"2021","journal-title":"Psychiatry Res. Neuroimaging"},{"key":"10.1016\/j.jad.2023.05.074_bb0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.bbr.2019.112381","article-title":"Connectivity patterns of cognitive control network in first episode medication-naive depression and remitted depression","volume":"379","author":"Jiao","year":"2020","journal-title":"Behav. Brain Res."},{"key":"10.1016\/j.jad.2023.05.074_bb0235","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1001\/jamapsychiatry.2015.0071","article-title":"Large-scale network dysfunction in major depressive disorder: a meta-analysis of resting-state functional connectivity","volume":"72","author":"Kaiser","year":"2015","journal-title":"JAMA Psychiat."},{"key":"10.1016\/j.jad.2023.05.074_bb0240","doi-asserted-by":"crossref","first-page":"1822","DOI":"10.1038\/npp.2015.352","article-title":"Dynamic resting-state functional connectivity in major depression","volume":"41","author":"Kaiser","year":"2016","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2023.05.074_bb0245","doi-asserted-by":"crossref","first-page":"1604","DOI":"10.1038\/s41386-019-0399-3","article-title":"Abnormal frontoinsular-default network dynamics in adolescent depression and rumination: a preliminary resting-state co-activation pattern analysis","volume":"44","author":"Kaiser","year":"2019","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2023.05.074_bb0250","doi-asserted-by":"crossref","DOI":"10.1016\/j.biopsych.2022.03.020","article-title":"Dynamic resting-state network biomarkers of antidepressant treatment response","author":"Kaiser","year":"2022","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0255","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1038\/mp.2016.55","article-title":"Intrinsic functional connectivity in late-life depression: trajectories over the course of pharmacotherapy in remitters and non-remitters","volume":"22","author":"Karim","year":"2017","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0260","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.cpr.2010.08.005","article-title":"Understanding depressive rumination from a cognitive science perspective: the impaired disengagement hypothesis","volume":"31","author":"Koster","year":"2011","journal-title":"Clin. Psychol. Rev."},{"key":"10.1016\/j.jad.2023.05.074_bb0265","series-title":"Handbook of Biobehavioral Approaches to Self-regulation","first-page":"371","article-title":"Self-regulation through rumination: consequences and mechanisms","author":"Koster","year":"2015"},{"key":"10.1016\/j.jad.2023.05.074_bb0270","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1016\/j.nicl.2018.10.004","article-title":"Cognitive control neuroimaging measures differentiate between those with and without future recurrence of depression","volume":"20","author":"Langenecker","year":"2018","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.jad.2023.05.074_bb0275","first-page":"48","article-title":"A treatment-resistant default mode subnetwork in major depression","volume":"74","author":"Li","year":"2013","journal-title":"Biol. Psychiat. Sour. Treat. Resist. Depress. Inflamm. Funct. Connect."},{"key":"10.1016\/j.jad.2023.05.074_bb0280","doi-asserted-by":"crossref","first-page":"1004","DOI":"10.1111\/cns.12998","article-title":"A brain network model for depression: from symptom understanding to disease intervention","volume":"24","author":"Li","year":"2018","journal-title":"CNS Neurosci. Ther."},{"key":"10.1016\/j.jad.2023.05.074_bb0285","first-page":"517","article-title":"Default mode network mechanisms of transcranial magnetic stimulation in depression","volume":"76","author":"Liston","year":"2014","journal-title":"Biol. Psychiat. Mol. Neur. Syst. Depress."},{"key":"10.1016\/j.jad.2023.05.074_bb0290","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.jad.2021.04.080","article-title":"Functional connectivity evidence for state-independent executive function deficits in patients with major depressive disorder","volume":"291","author":"Liu","year":"2021","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.05.074_bb0295","doi-asserted-by":"crossref","first-page":"4392","DOI":"10.1073\/pnas.1216856110","article-title":"Time-varying functional network information extracted from brief instances of spontaneous brain activity","volume":"110","author":"Liu","year":"2013","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jad.2023.05.074_bb0300","first-page":"485","article-title":"Co-activation patterns in resting-state fMRI signals","volume":"180","author":"Liu","year":"2018","journal-title":"NeuroImage Brain Connect. Dynam."},{"key":"10.1016\/j.jad.2023.05.074_bb0305","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1037\/0033-2909.111.1.172","article-title":"Comparing correlated correlation coefficients","volume":"111","author":"Meng","year":"1992","journal-title":"Psychol. Bull."},{"key":"10.1016\/j.jad.2023.05.074_bb0310","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41398-019-0395-8","article-title":"Prefrontal networks dynamically related to recovery from major depressive disorder: a longitudinal pharmacological fMRI study","volume":"9","author":"Meyer","year":"2019","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0315","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1176\/appi.ajp.2017.16080974","article-title":"State-independent and dependent neural responses to psychosocial stress in current and remitted depression","volume":"174","author":"Ming","year":"2017","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0320","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1023\/A:1023949509487","article-title":"Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data","volume":"52","author":"Monti","year":"2003","journal-title":"Mach. Learn."},{"key":"10.1016\/j.jad.2023.05.074_bb0325","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/j.ebiom.2018.09.025","article-title":"Resting state functional connectivity in patients with remitted psychotic depression: a multi-centre STOP-PD study","volume":"36","author":"Neufeld","year":"2018","journal-title":"EBioMedicine"},{"key":"10.1016\/j.jad.2023.05.074_bb0330","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1192\/bjp.bp.113.129965","article-title":"Biological vulnerability to depression: linked structural and functional brain network findings","volume":"204","author":"Nixon","year":"2014","journal-title":"Br. J. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0335","doi-asserted-by":"crossref","first-page":"eabq8566","DOI":"10.1126\/sciadv.abq8566","article-title":"Robust dynamic brain coactivation states estimated in individuals","volume":"9","author":"Peng","year":"2023","journal-title":"Sci. Adv."},{"key":"10.1016\/j.jad.2023.05.074_bb0340","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1038\/s41386-021-01101-7","article-title":"Prefrontal cortex and depression","volume":"47","author":"Pizzagalli","year":"2022","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2023.05.074_bb0345","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.2023.05.074_bb0350","doi-asserted-by":"crossref","first-page":"1751","DOI":"10.1038\/s41593-019-0510-4","article-title":"Advancing functional connectivity research from association to causation","volume":"22","author":"Reid","year":"2019","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.jad.2023.05.074_bb0355","doi-asserted-by":"crossref","first-page":"2058","DOI":"10.1038\/s41386-020-0785-x","article-title":"All roads lead to the default-mode network\u2014global source of DMN abnormalities in major depressive disorder","volume":"45","author":"Scalabrini","year":"2020","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2023.05.074_bb0360","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1016\/S2215-0366(19)30291-3","article-title":"Cognitive function following a major depressive episode: a systematic review and meta-analysis","volume":"6","author":"Semkovska","year":"2019","journal-title":"Lancet Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0365","doi-asserted-by":"crossref","first-page":"6207","DOI":"10.1038\/srep06207","article-title":"Critical limitations of consensus clustering in class discovery","volume":"4","author":"\u0218enbabao\u011flu","year":"2014","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jad.2023.05.074_bb0370","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1089\/brain.2020.0748","article-title":"Abnormal dynamic functional network connectivity estimated from default mode network predicts symptom severity in major depressive disorder","volume":"11","author":"Sendi","year":"2021","journal-title":"Brain Connect."},{"key":"10.1016\/j.jad.2023.05.074_bb0375","doi-asserted-by":"crossref","first-page":"2583","DOI":"10.1038\/npp.2017.65","article-title":"Associations between daily affective instability and connectomics in functional subnetworks in remitted patients with recurrent major depressive disorder","volume":"42","author":"Servaas","year":"2017","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2023.05.074_bb0380","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1037\/a0028727","article-title":"Major depressive disorder is associated with broad impairments on neuropsychological measures of executive function: a meta-analysis and review","volume":"139","author":"Snyder","year":"2013","journal-title":"Psychol. Bull."},{"key":"10.1016\/j.jad.2023.05.074_bb0385","series-title":"State\u2013Trait Anxiety Inventory: A Comprehensive Bibliography","author":"Spielberger","year":"1989"},{"key":"10.1016\/j.jad.2023.05.074_bb0390","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.jad.2018.08.037","article-title":"Repetitive negative thinking as a predictor of depression and anxiety: a longitudinal cohort study","volume":"241","author":"Spinhoven","year":"2018","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.05.074_bb0395","doi-asserted-by":"crossref","first-page":"2939","DOI":"10.1002\/hbm.23564","article-title":"Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: temporal stability and association with negative cognitive styles","volume":"38","author":"Stange","year":"2017","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2023.05.074_bb0400","doi-asserted-by":"crossref","first-page":"18414","DOI":"10.1073\/pnas.1417144111","article-title":"A taxonomy of prospection: introducing an organizational framework for future-oriented cognition","volume":"111","author":"Szpunar","year":"2014","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jad.2023.05.074_bb0405","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Thomas Yeo","year":"2011","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.jad.2023.05.074_bb0410","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2021.102570","article-title":"Reduced functional connectivity of default mode network subsystems in depression: Meta-analytic evidence and relationship with trait rumination","volume":"30","author":"Tozzi","year":"2021","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.jad.2023.05.074_bb0415","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1023\/A:1023910315561","article-title":"Rumination reconsidered: a psychometric analysis","volume":"27","author":"Treynor","year":"2003","journal-title":"Cogn. Ther. Res."},{"key":"10.1016\/j.jad.2023.05.074_bb0420","doi-asserted-by":"crossref","first-page":"1726","DOI":"10.1038\/s41380-021-01029-w","article-title":"Out-of-step: brain-heart desynchronization in anxiety disorders","volume":"26","author":"Tumati","year":"2021","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0425","doi-asserted-by":"crossref","first-page":"12827","DOI":"10.1073\/pnas.1705120114","article-title":"Brain network dynamics are hierarchically organized in time","volume":"114","author":"Vidaurre","year":"2017","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.jad.2023.05.074_bb0430","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1016\/S0140-6736(17)32154-2","article-title":"Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990\u20132016: a systematic analysis for the Global Burden of Disease Study 2016","volume":"390","author":"Vos","year":"2017","journal-title":"Lancet"},{"key":"10.1016\/j.jad.2023.05.074_bb0435","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1017\/S003329171900028X","article-title":"Abnormal dynamic functional network connectivity in unmedicated bipolar and major depressive disorders based on the triple-network model","volume":"50","author":"Wang","year":"2020","journal-title":"Psychol. Med."},{"key":"10.1016\/j.jad.2023.05.074_bb0440","doi-asserted-by":"crossref","first-page":"4031","DOI":"10.1007\/s12035-020-01995-2","article-title":"Transition and dynamic reconfiguration of whole-brain network in major depressive disorder","volume":"57","author":"Wang","year":"2020","journal-title":"Mol. Neurobiol."},{"key":"10.1016\/j.jad.2023.05.074_bb0445","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1097\/HRP.0000000000000081","article-title":"Cognitive vulnerability to major depression: view from the intrinsic network and cross-network interactions","volume":"24","author":"Wang","year":"2016","journal-title":"Harv. Rev. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0450","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.psyneuen.2016.10.007","article-title":"Acute stress impairs frontocingulate activation during error monitoring in remitted depression","volume":"75","author":"Whitton","year":"2017","journal-title":"Psychoneuroendocrinology"},{"key":"10.1016\/j.jad.2023.05.074_bb0455","doi-asserted-by":"crossref","first-page":"e1105","DOI":"10.1038\/tp.2017.40","article-title":"Instability of default mode network connectivity in major depression: a two-sample confirmation study","volume":"7","author":"Wise","year":"2017","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0460","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118193","article-title":"Reproducible coactivation patterns of functional brain networks reveal the aberrant dynamic state transition in schizophrenia","volume":"237","author":"Yang","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.05.074_bb0465","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41398-021-01646-7","article-title":"Understanding complex functional wiring patterns in major depressive disorder through brain functional connectome","volume":"11","author":"Yang","year":"2021","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.jad.2023.05.074_bb0470","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.jad.2022.02.059","article-title":"Increased prefrontal cortex connectivity associated with depression vulnerability and relapse","volume":"304","author":"Zhang","year":"2022","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.05.074_bb0475","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyt.2018.00339","article-title":"Aberrant dynamic functional network connectivity and graph properties in major depressive disorder","volume":"9","author":"Zhi","year":"2018","journal-title":"Front. Psychiat."},{"key":"10.1016\/j.jad.2023.05.074_bb0480","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2019.116287","article-title":"Rumination and the default mode network: meta-analysis of brain imaging studies and implications for depression","volume":"206","author":"Zhou","year":"2020","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2023.05.074_bb0485","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.jad.2013.04.028","article-title":"Severity classification on the Hamilton depression rating scale","volume":"150","author":"Zimmerman","year":"2013","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2023.05.074_bb0490","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/TMI.2018.2863944","article-title":"Robust recovery of temporal overlap between network activity using transient-informed spatio-temporal regression","volume":"38","author":"Z\u00f6ller","year":"2019","journal-title":"IEEE Trans. Med. Imaging"}],"container-title":["Journal of Affective Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032723007152?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032723007152?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:06:08Z","timestamp":1759032368000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165032723007152"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9]]},"references-count":98,"alternative-id":["S0165032723007152"],"URL":"https:\/\/doi.org\/10.1016\/j.jad.2023.05.074","relation":{},"ISSN":["0165-0327"],"issn-type":[{"value":"0165-0327","type":"print"}],"subject":[],"published":{"date-parts":[[2023,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Trait- and state-like co-activation pattern dynamics in current and remitted major depressive disorder","name":"articletitle","label":"Article Title"},{"value":"Journal of Affective Disorders","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jad.2023.05.074","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}