{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T15:23:49Z","timestamp":1775575429065,"version":"3.50.1"},"reference-count":86,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Spanish Ministry of Science"},{"name":"Innovation and Universities"},{"name":"Juan de la Cierva-Formaci&#x00F2;n","award":["FJC2018-037401-I"],"award-info":[{"award-number":["FJC2018-037401-I"]}]},{"name":"Spanish Ministry of Economy and Competitiveness","award":["PSI2009-14415C03-01"],"award-info":[{"award-number":["PSI2009-14415C03-01"]}]},{"name":"Spanish Ministry of Economy and Competitiveness","award":["PSI2012-38375-C03-01"],"award-info":[{"award-number":["PSI2012-38375-C03-01"]}]},{"name":"Madrid Neurocenter","award":["B2017\/BMD-3760"],"award-info":[{"award-number":["B2017\/BMD-3760"]}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01AG052653"],"award-info":[{"award-number":["R01AG052653"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"J-Clinic for Machine Learning in Health"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/tbme.2021.3049199","type":"journal-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T21:56:46Z","timestamp":1609883806000},"page":"1579-1588","source":"Crossref","is-referenced-by-count":40,"title":["A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks"],"prefix":"10.1109","volume":"68","author":[{"given":"Mengjia","family":"Xu","sequence":"first","affiliation":[]},{"given":"David Lopez","family":"Sanz","sequence":"additional","affiliation":[]},{"given":"Pilar","family":"Garces","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"Maestu","sequence":"additional","affiliation":[]},{"given":"Quanzheng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Dimitrios","family":"Pantazis","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-141872"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2018454"},{"key":"ref71","doi-asserted-by":"crossref","first-page":"3936","DOI":"10.1093\/brain\/awz320","article-title":"Hypersynchronization in mild cognitive impairment: The &#x2018;x&#x2019; model","volume":"142","author":"s","year":"2019","journal-title":"Brain"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.02.011"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1111\/j.0953-816X.2004.03333.x"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2017.06.025"},{"key":"ref74","doi-asserted-by":"crossref","first-page":"1426","DOI":"10.1016\/j.clinph.2017.05.012","article-title":"Alzheimer's disease: The state of the art in resting-state magnetoencephalography","volume":"128","author":"engels","year":"2017","journal-title":"Clinical Neurophysiology"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2018454"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1142\/S0129065717500411"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2013.06.019"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2013.09.006"},{"key":"ref79","first-page":"286","article-title":"Left lateralized cerebral glucose metabolism declines in amyloid-$\\beta$ positive persons with mild cognitive impairment","volume":"20","author":"weise","year":"2018","journal-title":"Clin Neuro"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1006864"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-017-0630-1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-018-0572-3"},{"key":"ref30","first-page":"1","article-title":"Deep Gaussian embedding of graphs: Unsupervised inductive learning via ranking","author":"bojchevski","year":"0","journal-title":"Proc 7th Int Conf Learn Representation"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"2347","DOI":"10.1016\/j.clinph.2017.04.018","article-title":"Alzheimer's disease disrupts alpha and beta-band resting-state oscillatory network connectivity","volume":"128","author":"koelewijn","year":"2017","journal-title":"Clinical Neurophysiology"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0964-14.2014"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.01.021"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-04614-w"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2013.06.009"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-018-0206-4"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0639-16.2016"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116113"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2017.03.006"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2018.03.003"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1212\/01.WNL.0000147469.18313.3B"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.62.11.1728"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0096458"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-151010"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.22741"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-019-0040-8"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(15)01124-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0704-15.2015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1111\/joim.12816"},{"key":"ref21","first-page":"2716","article-title":"Altered cortical and hippocampal excitability in TgF344-AD rats modeling alzheimer's disease pathology","volume":"35","author":"stoiljkovic","year":"2018","journal-title":"Cereb Cortex"},{"key":"ref24","article-title":"Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-alzheimer's disease","volume":"24","author":"s","year":"2019","journal-title":"Clin Neuro"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2898871"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2018.06.1809"},{"key":"ref25","first-page":"p. 146743","article-title":"Complex network analysis of MCI-AD EEG signals under cognitive and resting state","author":"surya","year":"2020","journal-title":"Brain Res"},{"key":"ref50","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"Proc 12th (USENIX) Symp Oper Syst Des Implementation"},{"key":"ref51","first-page":"108","article-title":"API design for machine learning software: Experiences from the Scikit-learn project","author":"buitinck","year":"0","journal-title":"Proc ECML PKDD Workshop Lang Data Mining Mach Learn"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2957921"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(12)70200-4"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(11)70156-9"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2017.00109"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.10.003"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.09.040"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2007.03.024"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807452"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0150-15.2015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp-2019-321652"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2015.00031"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/s41588-019-0358-2"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(10)70325-2"},{"key":"ref14","first-page":"103","article-title":"A multicenter study of the early detection of synaptic dysfunction in mild cognitive impairment using magnetoencephalogra-phy-derived functional connectivity","volume":"9","author":"maest\u00f9","year":"2015","journal-title":"Clin Neuro"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.nic.2020.02.002"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awy044"},{"key":"ref16","first-page":"1","article-title":"Classifying post-traumatic stress disorder using the magnetoencephalographic connectome and machine learning","volume":"10","author":"zhang","year":"2020","journal-title":"Sci Rep"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2017.00109"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.65.413"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-66034-5"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24477"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.05.070"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4504"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awx050"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3181c34b47"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2010.05.023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/ana.20009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000002923"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2013.06.019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2009.1064"},{"key":"ref86","doi-asserted-by":"crossref","first-page":"p. 68","DOI":"10.1186\/s13195-020-00632-3","article-title":"Reproducibility of EEG functional connectivity in alzheimer's disease","volume":"12","author":"briels","year":"2020","journal-title":"Research and Therapy"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.64.3.noc60123"},{"key":"ref49","article-title":"Brainstorm: A user-friendly application for MEG\/EEG Analysis","author":"f","year":"2011","journal-title":"Comput Intell Neurosci"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awl269"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/51\/7\/008"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1023\/B:BRAT.0000032864.93890.f9"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/S0896-6273(00)81138-1"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1155\/2011\/156869"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-030718-104938"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1008186"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2011.03.005"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2011.03.008"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/9410303\/09314203.pdf?arnumber=9314203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:11Z","timestamp":1652194451000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9314203\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":86,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2021.3049199","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}