{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T02:22:18Z","timestamp":1789957338687,"version":"4.0.1"},"reference-count":73,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100013058","name":"Jiangsu Provincial Key Research and Development Program","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013058","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","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":[[2019,10]]},"DOI":"10.1016\/j.jad.2019.06.066","type":"journal-article","created":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T21:36:24Z","timestamp":1562016984000},"page":"74-82","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":21,"special_numbering":"C","title":["Hyperactive frontolimbic and frontocentral resting-state gamma connectivity in major depressive disorder"],"prefix":"10.1016","volume":"257","author":[{"given":"Haiteng","family":"Jiang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shui","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Bi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhijian","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jad.2019.06.066_bib0001","doi-asserted-by":"crossref","first-page":"41","DOI":"10.3389\/fpsyt.2017.00041","article-title":"Alterations of intrinsic brain connectivity patterns in depression and bipolar disorders: A critical assessment of magnetoencephalography-based evidence","volume":"8","author":"Alamian","year":"2017","journal-title":"Front. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0002","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1000408","article-title":"Modeling the impact of lesions in the human brain","volume":"5","author":"Alstott","year":"2009","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.jad.2019.06.066_bib0003","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1016\/j.cub.2015.12.048","article-title":"Hippocampal-prefrontal theta oscillations support memory integration","volume":"26","author":"Backus","year":"2016","journal-title":"Curr. Biol."},{"key":"10.1016\/j.jad.2019.06.066_bib0004","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.89.054101","article-title":"Synchronization in small-world systems","volume":"89","author":"Barahona","year":"2002","journal-title":"Phys. Rev. Lett."},{"key":"10.1016\/j.jad.2019.06.066_bib0005","first-page":"175","article-title":"A tutorial review of functional connectivity analysis methods and their interpretational pitfalls","volume":"9","author":"Bastos","year":"2015","journal-title":"Front. Syst. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0006","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1214\/aos\/1013699998","article-title":"The control of the false discovery rate in multiple testing under dependency","volume":"29","author":"Benjamini","year":"2001","journal-title":"Ann. Stat."},{"key":"10.1016\/j.jad.2019.06.066_bib0007","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.jad.2015.11.041","article-title":"Dynamic functional-structural coupling within acute functional state change phases: evidence from a depression recognition study","volume":"191","author":"Bi","year":"2016","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2019.06.066_bib0008","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/0013-4694(86)90184-7","article-title":"Computerized EEG spectral analysis in elderly normal, demented and depressed subjects","volume":"64","author":"Brenner","year":"1986","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0009","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1038\/nrn3214","article-title":"The economy of brain network organization","volume":"13","author":"Bullmore","year":"2012","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0010","doi-asserted-by":"crossref","first-page":"1926","DOI":"10.1126\/science.1099745","article-title":"Neuronal oscillations in cortical networks","volume":"304","author":"Buzsaki","year":"2004","journal-title":"Science"},{"key":"10.1016\/j.jad.2019.06.066_bib0011","article-title":"Caudothalamic dysfunction in drug-free suicidally depressed patients: an MEG study","author":"Chattun","year":"2018","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci"},{"key":"10.1016\/j.jad.2019.06.066_bib0012","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.neuroimage.2016.05.070","article-title":"How reliable are MEG resting-state connectivity metrics?","volume":"138","author":"Colclough","year":"2016","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2019.06.066_bib0013","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.ijpsycho.2018.03.016","article-title":"Neuromagnetic correlates of audiovisual word processing in the developing brain","volume":"128","author":"Dinga","year":"2018","journal-title":"Int. J. Psychophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0014","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1038\/35094565","article-title":"Dynamic predictions: Oscillations and synchrony in top-down processing","volume":"2","author":"Engel","year":"2001","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0015","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1016\/j.biopsych.2014.12.011","article-title":"Altered structure of dynamic electroencephalogram oscillatory pattern in major depression","volume":"77","author":"Fingelkurts","year":"2015","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0016","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.jad.2019.06.066_bib0017","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1002\/hbm.20275","article-title":"Impaired functional connectivity at EEG alpha and theta frequency bands in major depression","volume":"28","author":"Fingelkurts","year":"2007","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.jad.2019.06.066_bib0018","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1001\/archpsyc.61.9.877","article-title":"Attenuation of the neural response to sad faces in major depression by antidepressant treatment: a prospective, event-related functional magnetic resonance imaging study","volume":"61","author":"Fu","year":"2004","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0019","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1097\/00004691-199905000-00006","article-title":"Linear and nonlinear current density reconstructions","volume":"16","author":"Fuchs","year":"1999","journal-title":"J. Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0020","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1073\/pnas.98.2.694","article-title":"Dynamic imaging of coherent sources: studying neural interactions in the human brain","volume":"98","author":"Gross","year":"2001","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.jad.2019.06.066_bib0021","doi-asserted-by":"crossref","first-page":"2811","DOI":"10.1093\/bioinformatics\/btu393","article-title":"Circlize implements and enhances circular visualization in R","volume":"30","author":"Gu","year":"2014","journal-title":"Bioinformatics"},{"key":"10.1016\/j.jad.2019.06.066_bib0022","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.1016\/j.clinph.2017.12.040","article-title":"An evaluation of kurtosis beamforming in magnetoencephalography to localize the epileptogenic zone in drug resistant epilepsy patients","volume":"129","author":"Hall","year":"2018","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0023","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.biopsych.2011.02.003","article-title":"Default-mode and task-positive network activity in major depressive disorder: implications for adaptive and maladaptive rumination","volume":"70","author":"Hamilton","year":"2011","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0024","doi-asserted-by":"crossref","first-page":"2766","DOI":"10.1016\/j.clinph.2016.05.272","article-title":"Detecting epileptiform activity from deeper brain regions in spatially filtered MEG data","volume":"127","author":"Hillebrand","year":"2016","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0025","doi-asserted-by":"crossref","first-page":"3867","DOI":"10.1073\/pnas.1515657113","article-title":"Direction of information flow in large-scale resting-state networks is frequency-dependent","volume":"113","author":"Hillebrand","year":"2016","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.jad.2019.06.066_bib0026","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.tics.2007.05.003","article-title":"Cross-frequency coupling between neuronal oscillations","volume":"11","author":"Jensen","year":"2007","journal-title":"Trends Cognit. Sci."},{"key":"10.1016\/j.jad.2019.06.066_bib0027","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/j.neuroimage.2015.05.044","article-title":"Measuring directionality between neuronal oscillations of different frequencies","volume":"118","author":"Jiang","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2019.06.066_bib0028","doi-asserted-by":"crossref","first-page":"2108","DOI":"10.1016\/j.clinph.2015.12.018","article-title":"Predictability of depression severity based on posterior alpha oscillations","volume":"127","author":"Jiang","year":"2016","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0029","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1162\/jocn_a_00726","article-title":"Modality-specific alpha modulations facilitate long-term memory encoding in the presence of distracters","volume":"27","author":"Jiang","year":"2015","journal-title":"J. Cognit. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0030","doi-asserted-by":"crossref","first-page":"1745","DOI":"10.1016\/S1388-2457(00)00386-2","article-title":"Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects","volume":"111","author":"Jung","year":"2000","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0031","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/S0924-9338(14)78755-3","article-title":"Changes of resting-state eeg and functional connectivity in the sensor and source space of patients with major depression","volume":"29","author":"Keeser","year":"2014","journal-title":"Eur. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0032","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1016\/j.neuron.2016.07.039","article-title":"Virtual cortical resection reveals push-pull network control preceding seizure evolution","volume":"91","author":"Khambhati","year":"2016","journal-title":"Neuron"},{"key":"10.1016\/j.jad.2019.06.066_bib0033","doi-asserted-by":"crossref","first-page":"E10465","DOI":"10.1073\/pnas.1705414114","article-title":"Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG","volume":"114","author":"Krishnaswamy","year":"2017","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.jad.2019.06.066_bib0034","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1016\/j.biopsych.2016.05.005","article-title":"Glutamate and gamma-aminobutyric acid systems in the pathophysiology of major depression and antidepressant response to ketamine","volume":"81","author":"Lener","year":"2017","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0035","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.jad.2019.06.066_bib0036","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.brainres.2013.08.033","article-title":"Predicting depression based on dynamic regional connectivity: a windowed granger causality analysis of MEG recordings","volume":"1535","author":"Lu","year":"2013","journal-title":"Brain Res"},{"key":"10.1016\/j.jad.2019.06.066_bib0037","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.jad.2014.06.007","article-title":"Discriminative analysis with a limited number of MEG trials in depression","volume":"167","author":"Lu","year":"2014","journal-title":"J. Affect. Disord."},{"key":"10.1016\/j.jad.2019.06.066_bib0038","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1002\/jmri.22161","article-title":"Depression severity evaluation for female patients based on a functional MRI model","volume":"31","author":"Lu","year":"2010","journal-title":"J. Magn. Reson. Imaging"},{"key":"10.1016\/j.jad.2019.06.066_bib0039","doi-asserted-by":"crossref","first-page":"206","DOI":"10.1016\/j.ijpsycho.2013.04.010","article-title":"Multichannel matching pursuit of meg signals for discriminative oscillation pattern detection in depression","volume":"88","author":"Lu","year":"2013","journal-title":"Int. J. Psychophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0040","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.neulet.2013.05.002","article-title":"Dynamic connectivity laterality of the amygdala under negative stimulus in depression: a MEG study","volume":"547","author":"Lu","year":"2013","journal-title":"Neurosci. Lett."},{"key":"10.1016\/j.jad.2019.06.066_bib0041","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1093\/bmb\/65.1.193","article-title":"Modulating dysfunctional limbic-cortical circuits in depression: Towards development of brain-based algorithms for diagnosis and optimised treatment","volume":"65","author":"Mayberg","year":"2003","journal-title":"Br. Med. Bull."},{"key":"10.1016\/j.jad.2019.06.066_bib0042","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1172\/JCI38454","article-title":"Targeted electrode-based modulation of neural circuits for depression","volume":"119","author":"Mayberg","year":"2009","journal-title":"J. Clin. Invest."},{"key":"10.1016\/j.jad.2019.06.066_bib0043","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1016\/j.neuroimage.2011.05.051","article-title":"Antidepressant medications reduce subcortical-cortical resting-state functional connectivity in healthy volunteers","volume":"57","author":"McCabe","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2019.06.066_bib0044","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.tics.2011.08.003","article-title":"Large-scale brain networks and psychopathology: a unifying triple network model","volume":"15","author":"Menon","year":"2011","journal-title":"Trends Cognit. Sci."},{"key":"10.1016\/j.jad.2019.06.066_bib0045","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.2019.06.066_bib0046","doi-asserted-by":"crossref","first-page":"e43","DOI":"10.1016\/j.biopsych.2010.09.041","article-title":"Localization of dysfunction in major depressive disorder: prefrontal cortex and amygdala","volume":"69","author":"Murray","year":"2011","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0047","doi-asserted-by":"crossref","first-page":"1750","DOI":"10.1038\/sj.npp.1301010","article-title":"Effects of a alpha 2c-adrenoreceptor gene polymorphism on neural responses to facial expressions in depression","volume":"31","author":"Neumeister","year":"2006","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2019.06.066_bib0048","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1159\/000118804","article-title":"Relationships between psychomotor retardation and EEG power spectrum in major depression","volume":"25","author":"Nieber","year":"1992","journal-title":"Neuropsychobiology"},{"key":"10.1016\/j.jad.2019.06.066_bib0049","doi-asserted-by":"crossref","first-page":"3637","DOI":"10.1088\/0031-9155\/48\/22\/002","article-title":"The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors","volume":"48","author":"Nolte","year":"2003","journal-title":"Phys. Med. Biol."},{"key":"10.1016\/j.jad.2019.06.066_bib0050","doi-asserted-by":"crossref","first-page":"2292","DOI":"10.1016\/j.clinph.2004.04.029","article-title":"Identifying true brain interaction from EEG data using the imaginary part of coherency","volume":"115","author":"Nolte","year":"2004","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0051","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2015.05.051","article-title":"Group differences in MEG-ICA derived resting state networks: application to major depressive disorder","volume":"118","author":"Nugent","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2019.06.066_bib0052","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.pscychresns.2016.06.006","article-title":"Preliminary differences in resting state MEG functional connectivity pre- and post-ketamine in major depressive disorder","volume":"254","author":"Nugent","year":"2016","journal-title":"Psychiatry Res. Neuroimaging"},{"key":"10.1016\/j.jad.2019.06.066_bib0053","doi-asserted-by":"crossref","DOI":"10.1155\/2011\/156869","article-title":"Fieldtrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data","volume":"2011","author":"Oostenveld","year":"2011","journal-title":"Comput. Intell. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0054","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.neuroimage.2018.02.032","article-title":"Ghost interactions in MEG\/EEG source space: a note of caution on inter-areal coupling measures","volume":"173","author":"Palva","year":"2018","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2019.06.066_bib0055","doi-asserted-by":"crossref","first-page":"28092","DOI":"10.1038\/srep28092","article-title":"Formation of visual memories controlled by gamma power phase-locked to alpha oscillations","volume":"6","author":"Park","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jad.2019.06.066_bib0056","doi-asserted-by":"crossref","first-page":"50","DOI":"10.3389\/fncir.2016.00050","article-title":"Longitudinal changes in depressive circuitry in response to neuromodulation therapy","volume":"10","author":"Pathak","year":"2016","journal-title":"Front. Neural Circuits"},{"key":"10.1016\/j.jad.2019.06.066_bib0057","doi-asserted-by":"crossref","first-page":"5464","DOI":"10.1073\/pnas.1117206109","article-title":"Electroconvulsive therapy reduces frontal cortical connectivity in severe depressive disorder","volume":"109","author":"Perrin","year":"2012","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.jad.2019.06.066_bib0058","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/0006-3223(90)90591-O","article-title":"Quantitative, waking EEG research on depression","volume":"27","author":"Pollock","year":"1990","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0059","doi-asserted-by":"crossref","first-page":"273","DOI":"10.3389\/fnins.2018.00273","article-title":"Non-invasive investigation of human hippocampal rhythms using magnetoencephalography: a review","volume":"12","author":"Pu","year":"2018","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0060","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1038\/npp.2013.330","article-title":"EEG power asymmetry and functional connectivity as a marker of treatment effectiveness in DBS surgery for depression","volume":"39","author":"Quraan","year":"2014","journal-title":"Neuropsychopharmacology"},{"key":"10.1016\/j.jad.2019.06.066_bib0061","doi-asserted-by":"crossref","first-page":"1947","DOI":"10.1152\/jn.01016.2014","article-title":"Connectivity between the superior colliculus and the amygdala in humans and macaque monkeys: virtual dissection with probabilistic DTI tractography","volume":"114","author":"Rafal","year":"2015","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.jad.2019.06.066_bib0062","doi-asserted-by":"crossref","first-page":"14007","DOI":"10.1038\/s41598-018-32385-3","article-title":"Low-frequency oscillatory correlates of auditory predictive processing in cortical-subcortical networks: a MEG-study","volume":"8","author":"Recasens","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jad.2019.06.066_bib0063","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1523\/JNEUROSCI.5587-06.2007","article-title":"Dissociable intrinsic connectivity networks for salience processing and executive control","volume":"27","author":"Seeley","year":"2007","journal-title":"J. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0064","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.neuroimage.2004.01.015","article-title":"Limbic-frontal circuitry in major depression: a path modeling metanalysis","volume":"22","author":"Seminowicz","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2019.06.066_bib0065","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1038\/nrn3137","article-title":"Spectral fingerprints of large-scale neuronal interactions","volume":"13","author":"Siegel","year":"2012","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.jad.2019.06.066_bib0066","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1016\/S0006-3223(02)01314-8","article-title":"Can't shake that feeling: event-related fMRI assessment of sustained amygdala activity in response to emotional information in depressed individuals","volume":"51","author":"Siegle","year":"2002","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0067","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1016\/j.biopsych.2015.01.002","article-title":"Multimodal approaches to define network oscillations in depression","volume":"77","author":"Smart","year":"2015","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0068","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.biopsych.2004.10.028","article-title":"A differential pattern of neural response toward sad versus happy facial expressions in major depressive disorder","volume":"57","author":"Surguladze","year":"2005","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0069","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.jad.2019.06.066_bib0070","doi-asserted-by":"crossref","first-page":"1128","DOI":"10.1001\/archgenpsychiatry.2010.144","article-title":"Relationship between amygdala responses to masked faces and mood state and treatment in major depressive disorder","volume":"67","author":"Victor","year":"2010","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.jad.2019.06.066_bib0071","doi-asserted-by":"crossref","first-page":"e68910","DOI":"10.1371\/journal.pone.0068910","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.2019.06.066_bib0072","doi-asserted-by":"crossref","first-page":"57","DOI":"10.3389\/fninf.2014.00057","article-title":"Accumulated source imaging of brain activity with both low and high-frequency neuromagnetic signals","volume":"8","author":"Xiang","year":"2014","journal-title":"Front. Neuroinform."},{"key":"10.1016\/j.jad.2019.06.066_bib0073","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1016\/j.neuroimage.2010.06.041","article-title":"Network-based statistic: identifying differences in brain networks","volume":"53","author":"Zalesky","year":"2010","journal-title":"NeuroImage"}],"container-title":["Journal of Affective Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032718330118?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165032718330118?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T01:27:21Z","timestamp":1759022841000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165032718330118"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":73,"alternative-id":["S0165032718330118"],"URL":"https:\/\/doi.org\/10.1016\/j.jad.2019.06.066","relation":{},"ISSN":["0165-0327"],"issn-type":[{"value":"0165-0327","type":"print"}],"subject":[],"published":{"date-parts":[[2019,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Hyperactive frontolimbic and frontocentral resting-state gamma connectivity in 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.2019.06.066","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}