{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T15:43:39Z","timestamp":1787067819488,"version":"build-2736575974"},"reference-count":84,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC2002601"],"award-info":[{"award-number":["2018YFC2002601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273271"],"award-info":[{"award-number":["62273271"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2019JM-293"],"award-info":[{"award-number":["2019JM-293"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ibroneuroscience.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neuroscience"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1016\/j.neuroscience.2022.10.010","type":"journal-article","created":{"date-parts":[[2022,10,20]],"date-time":"2022-10-20T00:25:15Z","timestamp":1666225515000},"page":"80-90","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":20,"special_numbering":"C","title":["Abnormal Properties of Cortical Functional Brain Network in Major Depressive Disorder: Graph Theory Analysis Based on Electroencephalography-Source Estimates"],"prefix":"10.1016","volume":"506","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0995-5693","authenticated-orcid":false,"given":"Chaolin","family":"Teng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengwei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Jia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiyang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jin","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neuroscience.2022.10.010_b0005","doi-asserted-by":"crossref","first-page":"e17","DOI":"10.1371\/journal.pcbi.0030017","article-title":"Efficiency and cost of economical brain functional networks","volume":"3","author":"Achard","year":"2007","journal-title":"PLos Comput Biol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0010","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1177\/1073858406293182","article-title":"Small-world brain networks","volume":"12","author":"Bassett","year":"2006","journal-title":"Neuroscientist"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0015","doi-asserted-by":"crossref","first-page":"19518","DOI":"10.1073\/pnas.0606005103","article-title":"Bullmore E (2006) Adaptive reconfiguration of fractal small-world human brain functional networks","volume":"103","author":"Bassett","year":"2006","journal-title":"Proc Natl Acad Sci U S A."},{"key":"10.1016\/j.neuroscience.2022.10.010_b0020","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J R Stat Soc Series B Stat Methodol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0025","first-page":"116","article-title":"Resting-state functional connectivity in late-life depression: higher global connectivity and more long distance connections","volume":"3","author":"Bohr","year":"2012","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0030","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1186\/1741-7015-9-90","article-title":"Cross-national epidemiology of DSM-IV major depressive episode","volume":"9","author":"Bromet","year":"2011","journal-title":"BMC Med"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0035","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1146\/annurev-clinpsy-040510-143934","article-title":"Brain graphs: graphical models of the human brain connectome","volume":"7","author":"Bullmore","year":"2011","journal-title":"Annu Rev Clin Psycho"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0040","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nrn2575","article-title":"Complex brain networks: graph theoretical analysis of structural and functional systems","volume":"10","author":"Bullmore","year":"2009","journal-title":"Nat Rev Neurosci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0045","doi-asserted-by":"crossref","first-page":"245","DOI":"10.3389\/fpsyg.2019.00245","article-title":"State-related alterations of spontaneous neural activity in current and remitted depression revealed by resting-state fMRI","volume":"10","author":"Cheng","year":"2019","journal-title":"Front Psychol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0050","first-page":"1040","article-title":"Functional connectivity of the precuneus in unmedicated patients with depression","volume":"3","author":"Cheng","year":"2018","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0055","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis","volume":"34","author":"Delorme","year":"2004","journal-title":"J Neurosci Methods"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0060","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.neures.2006.06.006","article-title":"Composition of brain oscillations in ongoing EEG during major depression disorder","volume":"56","author":"Fingelkurts","year":"2006","journal-title":"Neurosci Res"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.brainres.2019.146543","article-title":"Functional connectivity abnormalities during processing of predictive stimuli in patients with major depressive disorder","volume":"1727","author":"Fogelson","year":"2020","journal-title":"Brain Res"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0070","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1016\/S1388-2457(02)00030-5","article-title":"A standardized boundary element method volume conductor model","volume":"113","author":"Fuchs","year":"2002","journal-title":"Clin Neurophysiol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0075","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1016\/j.jad.2018.12.066","article-title":"Altered regional homogeneity in patients with somatic depression: A resting-state fMRI study","volume":"246","author":"Geng","year":"2019","journal-title":"J Affect Disord"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0080","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1038\/s41398-020-01036-5","article-title":"Common and distinct patterns of intrinsic brain activity alterations in major depression and bipolar disorder: voxel-based meta-analysis","volume":"10","author":"Gong","year":"2020","journal-title":"Transl Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0085","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1016\/j.clinph.2019.01.025","article-title":"Deficits of visuospatial working memory and executive function in single- versus multiple-domain amnestic mild cognitive impairment: A combined ERP and sLORETA study","volume":"130","author":"Gu","year":"2019","journal-title":"Clin Neurophysiol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0090","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.pnpbp.2012.01.011","article-title":"Alterations of the amplitude of low-frequency fluctuations in treatment-resistant and treatment-response depression: a resting-state fMRI study","volume":"37","author":"Guo","year":"2012","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.pnpbp.2019.109665","article-title":"Decreased static and increased dynamic global signal topography in major depressive disorder","volume":"94","author":"Han","year":"2019","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0100","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/ab7613","article-title":"Graph theory analysis of directed functional brain networks in major depressive disorder based on EEG signal","volume":"17","author":"Hasanzadeh","year":"2020","journal-title":"J Neural Eng"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0105","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1109\/MSP.2017.2777518","article-title":"Electroencephalography source connectivity: aiming for high resolution of brain networks in time and space","volume":"35","author":"Hassan","year":"2018","journal-title":"IEEE Signal Process Mag"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0110","doi-asserted-by":"crossref","first-page":"13530","DOI":"10.1038\/s41598-017-13626-3","article-title":"Emotion regulating attentional control abnormalities in major depressive disorder: an event-related potential study","volume":"7","author":"Hu","year":"2017","journal-title":"Sci Rep"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0115","doi-asserted-by":"crossref","first-page":"4248","DOI":"10.1002\/hbm.23306","article-title":"The impact of parkinson's disease on the cortical mechanisms that support auditory\u2013motor integration for voice control","volume":"37","author":"Huang","year":"2016","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0120","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1098\/rspb.2005.3354","article-title":"The brainstem reticular formation is a small-world, not scale-free, network","volume":"273","author":"Humphries","year":"2006","journal-title":"Proc R Soc B"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0125","article-title":"Neural correlates of rumination in major depressive disorder: A brain network analysis","volume":"2020;25:102142","author":"Jacob","year":"2020","journal-title":"NeuroImage: Clin."},{"key":"10.1016\/j.neuroscience.2022.10.010_b0130","doi-asserted-by":"crossref","first-page":"29780","DOI":"10.1038\/srep29780","article-title":"Functional brain networks: Does the choice of dependency estimator and binarization method matter?","volume":"6","author":"Jalili","year":"2016","journal-title":"Sci Rep"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0135","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1007\/s13246-014-0308-3","article-title":"EEG based brain source localization comparison of sLORETA and eLORETA","volume":"37","author":"Jatoi","year":"2014","journal-title":"Australas Phys Eng Sci Med"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0140","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1002\/hbm.21253","article-title":"Reorganization of brain functional small-world networks during finger movements","volume":"33","author":"Jin","year":"2012","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0145","doi-asserted-by":"crossref","first-page":"917","DOI":"10.1080\/00207454.2019.1709843","article-title":"A spatial profile difference in electrical distribution of resting-state EEG in ADHD children using sLORETA","volume":"130","author":"Jouzizadeh","year":"2020","journal-title":"Int J Neurosci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0150","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1016\/j.neuroimage.2006.09.024","article-title":"10\/20, 10\/10, and 10\/5 systems revisited: their validity as relative head-surface-based positioning systems","volume":"34","author":"Jurcak","year":"2007","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0155","first-page":"251","article-title":"Functional connectivity density mapping of depressive symptoms loneliness in non-demented elderly male","volume":"7","author":"Lan","year":"2015","journal-title":"Front Aging Neurosci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0160","doi-asserted-by":"crossref","first-page":"2424","DOI":"10.1016\/j.cortex.2013.01.008","article-title":"The effects of working memory training on functional brain network efficiency","volume":"49","author":"Langer","year":"2013","journal-title":"Cortex"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0165","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.87.198701","article-title":"Efficient behavior of small-world networks","volume":"87","author":"Latora","year":"2001","journal-title":"Phys Rev Lett"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0170","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1002\/hbm.20662","article-title":"Altered sleep brain functional connectivity in acutely depressed patients","volume":"30","author":"Leistedt","year":"2009","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0175","doi-asserted-by":"crossref","first-page":"e32508","DOI":"10.1371\/journal.pone.0032508","article-title":"Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression","volume":"7","author":"Leuchter","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0180","doi-asserted-by":"crossref","first-page":"2078","DOI":"10.1016\/j.clinph.2014.12.026","article-title":"Abnormal functional connectivity of EEG gamma band in patients with depression during emotional face processing","volume":"126","author":"Li","year":"2015","journal-title":"Clin Neurophysiol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0185","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.jocn.2017.06.037","article-title":"More randomized and resilient in the topological properties of functional brain networks in patients with major depressive disorder","volume":"44","author":"Li","year":"2017","journal-title":"J Clin Neurosci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0190","doi-asserted-by":"crossref","first-page":"e79999","DOI":"10.1371\/journal.pone.0079999","article-title":"Identify changes of brain regional homogeneity in bipolar disorder and unipolar depression using resting-state fMRI","volume":"8","author":"Liang","year":"2013","journal-title":"PLoS One"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0195","first-page":"22:101680","article-title":"Multiparametric graph theoretical analysis reveals altered structural and functional network topology in Alzheimer's disease","author":"Lin","year":"2019","journal-title":"NeuroImage: Clin"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0200","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1007\/s11571-022-09782-6","article-title":"Hypofunction of directed brain network within alpha frequency band in depressive patients: a graph-theoretic analysis","volume":"16","author":"Liu","year":"2022","journal-title":"Cogn Neurodyn"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0205","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1016\/j.jad.2021.08.143","article-title":"Brain functional alterations in MDD patients with somatic symptoms: A resting-state fMRI study","volume":"295","author":"Liu","year":"2021","journal-title":"J Affect Disord"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0210","doi-asserted-by":"crossref","first-page":"2299","DOI":"10.1016\/S0140-6736(18)31948-2","volume":"392","author":"Malhi","year":"2018","journal-title":"Depression. Lancet"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0215","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1126\/science.1065103","article-title":"Specificity and stability in topology of protein networks","volume":"296","author":"Maslov","year":"2002","journal-title":"Science"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0220","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1098\/rstb.2001.0915","article-title":"A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)","volume":"356","author":"Mazziotta","year":"2001","journal-title":"Philos Trans R Soc B"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0225","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroscience.2015.09.028","article-title":"Small-worldness characteristics and its gender relation in specific hemispheric networks","volume":"310","author":"Miraglia","year":"2015","journal-title":"Neuroscience"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0230","doi-asserted-by":"crossref","first-page":"854","DOI":"10.1016\/j.jad.2015.05.007","article-title":"Patiotemporal psychopathology I: no rest for the brain\u2019s resting state activity in depression? Spatiotemporal psychopathology","volume":"190","author":"Northoff","year":"2016","journal-title":"J Affect Disord"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0235","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.neuroimage.2008.11.014","article-title":"EEG-vigilance and BOLD effect during simultaneous EEG\/fMRI measurement","volume":"45","author":"Olbrich","year":"2009","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0240","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.pscychresns.2014.02.010","article-title":"Functional connectivity in major depression: Increased phase synchronization between frontal cortical EEG-source estimates","volume":"222","author":"Olbrich","year":"2014","journal-title":"Psychiat Res: Neuroim"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0245","doi-asserted-by":"crossref","first-page":"16065","DOI":"10.1038\/nrdp.2016.65","article-title":"Major depressive disorder","volume":"2","author":"Otte","year":"2016","journal-title":"Nat Rev Dis Primers"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0250","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1093\/scan\/nst126","article-title":"Affective state-dependent changes in the brain functional network in major depressive disorder","volume":"9","author":"Park","year":"2014","journal-title":"Soc Cogn Affect Neurosci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0255","article-title":"Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details","volume":"24 Suppl D:5\u201312","author":"Pascual-Marqui","year":"2002","journal-title":"Method Find Exp Clin Pharmacol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0260","first-page":"0710.3341","volume":"arXiv","author":"Pascual-Marqui","year":"2007","journal-title":"Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization."},{"key":"10.1016\/j.neuroscience.2022.10.010_b0265","first-page":"S86","article-title":"Exact low resolution brain electromagnetic tomography (eLORETA)","volume":"31","author":"Pascual-Marqui","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0270","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.jad.2014.05.061","article-title":"Altered brain network modules induce helplessness in major depressive disorder","volume":"168","author":"Peng","year":"2014","journal-title":"J Affect Disord"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0275","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0278-5846(03)00163-5","article-title":"The peculiarity of the right-hemisphere function in depression: solving the paradoxes","volume":"28","author":"Rotenberg","year":"2004","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0280","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0285","doi-asserted-by":"crossref","DOI":"10.1088\/1741-2552\/abcc48","article-title":"Efficient high resolution sLORETA in brain source localization","volume":"18","author":"Sadat-Nejad","year":"2021","journal-title":"J Neural Eng"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0290","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2020.117430","article-title":"Spatial fidelity of MEG\/EEG source estimates: a general evaluation approach","volume":"224","author":"Samuelsson","year":"2021","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0295","doi-asserted-by":"crossref","first-page":"2058","DOI":"10.1038\/s41386-020-0785-x","article-title":"All roads lead to the default-mode network-global source of DMN abnormalities in major depressive disorder","volume":"45","author":"Scalabrini","year":"2020","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0300","doi-asserted-by":"crossref","first-page":"1546","DOI":"10.1109\/TNSRE.2021.3092140","article-title":"Analysis of functional brain network in MDD based on improved empirical mode decomposition with resting state EEG data","volume":"29","author":"Shao","year":"2021","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0305","doi-asserted-by":"crossref","first-page":"11020","DOI":"10.1073\/pnas.1000446107","article-title":"Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus","volume":"107","author":"Sheline","year":"2010","journal-title":"Proc Natl Acad Sci U S A"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0310","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.schres.2014.04.012","article-title":"Disruptions in small-world cortical functional connectivity network during an auditory oddball paradigm task in patients with schizophrenia","volume":"156","author":"Shim","year":"2014","journal-title":"Schizophr Res"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0315","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1016\/j.nicl.2018.06.012","article-title":"Altered cortical functional network in major depressive disorder: A resting-state electroencephalogram study","volume":"19","author":"Shim","year":"2018","journal-title":"NeuroImage: Clin"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0320","series-title":"Density Estimation for Statistics and Data Analysis","author":"Silverman","year":"1986"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0325","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1016\/j.biopsych.2013.03.005","article-title":"Anomalous gray matter structural networks in major depressive disorder","volume":"74","author":"Singh","year":"2013","journal-title":"Biol Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0330","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2015.08.015","article-title":"EEG source localization: sensor density and head surface coverage","volume":"256","author":"Song","year":"2015","journal-title":"J Neurosci Methods"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0335","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.tics.2004.07.008","article-title":"Organization, development and function of complex brain networks","volume":"8","author":"Sporns","year":"2004","journal-title":"Trends Cogn Sci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0340","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.neulet.2003.10.063","article-title":"Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?","volume":"355","author":"Stam","year":"2004","journal-title":"Neurosci Lett"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0345","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1109\/TNSRE.2019.2894423","article-title":"Graph theory analysis of functional connectivity in major depression disorder with high-density resting state EEG data","volume":"27","author":"Sun","year":"2019","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0350","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.neuroimage.2010.07.066","article-title":"Hemisphere- and gender-related differences in small-world brain networks: a resting-state functional MRI study","volume":"54","author":"Tian","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0355","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.clinph.2015.04.063","article-title":"Graph theoretical analysis of EEG effective connectivity in vascular dementia patients during a visual oddball task","volume":"127","author":"Wang","year":"2016","journal-title":"Clin Neurophysiol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0360","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.neuroscience.2020.12.038","article-title":"A study on resting EEG effective connectivity difference before and after neurofeedback for children with ADHD","volume":"457","author":"Wang","year":"2021","journal-title":"Neuroscience"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0365","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1038\/30918","article-title":"Collective dynamics of 'small-world' networks","volume":"393","author":"Watts","year":"1998","journal-title":"Nature"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0370","doi-asserted-by":"crossref","first-page":"719","DOI":"10.3389\/fpsyt.2019.00719","article-title":"Atypical temporal dynamics of resting state shapes stimulus-evoked activity in depression - an EEG study on rest-stimulus interaction","volume":"10","author":"Wolff","year":"2019","journal-title":"Front Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0375","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1016\/j.neunet.2007.12.039","article-title":"A new nonlinear similarity measure for multichannel signals","volume":"21","author":"Xu","year":"2008","journal-title":"Neural Networks"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0380","doi-asserted-by":"crossref","first-page":"e0133775","DOI":"10.1371\/journal.pone.0133775","article-title":"Changes of functional brain networks in major depressive disorder: A graph theoretical analysis of resting-state fMRI","volume":"10","author":"Ye","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0385","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1186\/s12888-016-1053-9","article-title":"Altered network efficiency in major depressive disorder","volume":"16","author":"Ye","year":"2016","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0390","doi-asserted-by":"crossref","first-page":"2034","DOI":"10.1093\/scan\/nsu006","article-title":"Increased involvement of the parahippocampal gyri in a sad mood predicts future depressive symptoms","volume":"9","author":"Zamoscik","year":"2014","journal-title":"Soc Cogn Affect Neurosci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0395","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.biopsych.2011.05.018","article-title":"Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder","volume":"70","author":"Zhang","year":"2011","journal-title":"Biol Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0400","doi-asserted-by":"crossref","first-page":"692","DOI":"10.3389\/fnins.2018.00692","article-title":"Abnormal global functional connectivity patterns in medication-free major depressive disorder","volume":"12","author":"Zhang","year":"2018","journal-title":"Front Neurosci"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0405","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1109\/TNSRE.2020.3043426","article-title":"Brain functional networks based on resting-state EEG data for major depressive disorder analysis and classification","volume":"29","author":"Zhang","year":"2021","journal-title":"IEEE Trans Neural Syst Rehabil Eng"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0410","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1016\/j.clinph.2018.01.017","article-title":"Randomized EEG functional brain networks in major depressive disorders with greater resilience and lower rich-club coefficient","volume":"129","author":"Zhang","year":"2018","journal-title":"Clin Neurophysiol"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0415","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/08039488.2018.1478991","article-title":"Abnormalities in P300 components in depression: an ERP-sLORETA study","volume":"73","author":"Zhou","year":"2019","journal-title":"Nord J Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.10.010_b0420","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.jad.2009.05.029","article-title":"Increased neural resources recruitment in the intrinsic organization in major depression","volume":"121","author":"Zhou","year":"2010","journal-title":"J Affect Disord"}],"container-title":["Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306452222005188?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306452222005188?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T16:15:22Z","timestamp":1759680922000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306452222005188"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":84,"alternative-id":["S0306452222005188"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroscience.2022.10.010","relation":{},"ISSN":["0306-4522"],"issn-type":[{"value":"0306-4522","type":"print"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Abnormal Properties of Cortical Functional Brain Network in Major Depressive Disorder: Graph Theory Analysis Based on Electroencephalography-Source Estimates","name":"articletitle","label":"Article Title"},{"value":"Neuroscience","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroscience.2022.10.010","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Published by Elsevier Ltd on behalf of IBRO.","name":"copyright","label":"Copyright"}]}}