{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T10:21:57Z","timestamp":1767176517960,"version":"build-2238731810"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1008186","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T00:00:00Z","timestamp":1601337600000}}],"reference-count":33,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T00:00:00Z","timestamp":1600300800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"DOI":"10.1371\/journal.pcbi.1008186","type":"journal-article","created":{"date-parts":[[2020,9,17]],"date-time":"2020-09-17T14:18:58Z","timestamp":1600352338000},"page":"e1008186","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":21,"title":["A new Graph Gaussian embedding method for analyzing the effects of cognitive training"],"prefix":"10.1371","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3627-8261","authenticated-orcid":true,"given":"Mengjia","family":"Xu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4045-419X","authenticated-orcid":true,"given":"Zhijiang","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8967-8173","authenticated-orcid":true,"given":"Haifeng","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Dimitrios","family":"Pantazis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3213-6493","authenticated-orcid":true,"given":"Huali","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9651-5820","authenticated-orcid":true,"given":"Quanzheng","family":"Li","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2020,9,17]]},"reference":[{"issue":"7","key":"pcbi.1008186.ref001","doi-asserted-by":"crossref","first-page":"e1700669","DOI":"10.1126\/sciadv.1700669","article-title":"Computational integration of nanoscale physical biomarkers and cognitive assessments for Alzheimer\u2019s disease diagnosis and prognosis","volume":"3","author":"T Yue","year":"2017","journal-title":"Science advances"},{"issue":"6","key":"pcbi.1008186.ref002","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1001\/jamaneurol.2018.0602","article-title":"Controversies and future directions of ocular biomarkers in Alzheimer disease","volume":"75","author":"SS Ong","year":"2018","journal-title":"JAMA neurology"},{"key":"pcbi.1008186.ref003","first-page":"70","article-title":"Effects of cognitive training on resting-state functional connectivity of default mode, salience, and central executive networks","volume":"8","author":"W Cao","year":"2016","journal-title":"Frontiers in aging neuroscience"},{"issue":"1","key":"pcbi.1008186.ref004","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1038\/s41398-019-0385-x","article-title":"Computerized multi-domain cognitive training reduces brain atrophy in patients with amnestic mild cognitive impairment","volume":"9","author":"H Zhang","year":"2019","journal-title":"Translational psychiatry"},{"key":"pcbi.1008186.ref005","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.brainres.2017.10.008","article-title":"CSF A\u03b21\u201342, but not p-Tau181, differentiates aMCI from SCI","volume":"1678","author":"L Rizzi","year":"2018","journal-title":"Brain research"},{"issue":"9984","key":"pcbi.1008186.ref006","doi-asserted-by":"crossref","first-page":"2255","DOI":"10.1016\/S0140-6736(15)60461-5","article-title":"A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial","volume":"385","author":"T Ngandu","year":"2015","journal-title":"The Lancet"},{"issue":"5","key":"pcbi.1008186.ref007","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/S1474-4422(17)30040-6","article-title":"Effect of long-term omega 3 polyunsaturated fatty acid supplementation with or without multidomain intervention on cognitive function in elderly adults with memory complaints (MAPT): a randomised, placebo-controlled trial","volume":"16","author":"S Andrieu","year":"2017","journal-title":"The Lancet Neurology"},{"issue":"10046","key":"pcbi.1008186.ref008","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1016\/S0140-6736(16)30950-3","article-title":"Effectiveness of a 6-year multidomain vascular care intervention to prevent dementia (preDIVA): a cluster-randomised controlled trial","volume":"388","author":"EPM van Charante","year":"2016","journal-title":"The Lancet"},{"issue":"1","key":"pcbi.1008186.ref009","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1159\/000322942","article-title":"The Danish Alzheimer intervention study: rationale, study design and baseline characteristics of the cohort","volume":"36","author":"G Waldemar","year":"2011","journal-title":"Neuroepidemiology"},{"issue":"10","key":"pcbi.1008186.ref010","doi-asserted-by":"crossref","first-page":"e1700489","DOI":"10.1126\/sciadv.1700489","article-title":"Structural plasticity of the social brain: Differential change after socio-affective and cognitive mental training","volume":"3","author":"SL Valk","year":"2017","journal-title":"Science Advances"},{"key":"pcbi.1008186.ref011","doi-asserted-by":"crossref","unstructured":"Wu Z, Pan S, Chen F, Long G, Zhang C, Yu PS. A comprehensive survey on graph neural networks. arXiv preprint arXiv:190100596. 2019;1\u201322.","DOI":"10.1109\/TNNLS.2020.2978386"},{"issue":"9","key":"pcbi.1008186.ref012","doi-asserted-by":"crossref","first-page":"1616","DOI":"10.1109\/TKDE.2018.2807452","article-title":"A comprehensive survey of graph embedding: Problems, techniques, and applications","volume":"30","author":"H Cai","year":"2018","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"pcbi.1008186.ref013","doi-asserted-by":"crossref","unstructured":"Cao S, Lu W, Xu Q. Grarep: Learning graph representations with global structural information. In: Proceedings of the 24th ACM international on conference on information and knowledge management. ACM; 2015;:891\u2013900.","DOI":"10.1145\/2806416.2806512"},{"key":"pcbi.1008186.ref014","doi-asserted-by":"crossref","unstructured":"Ou M, Cui P, Pei J, Zhang Z, Zhu W. Asymmetric transitivity preserving graph embedding. In: Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. ACM; 2016. p. 1105\u20131114.","DOI":"10.1145\/2939672.2939751"},{"key":"pcbi.1008186.ref015","doi-asserted-by":"crossref","unstructured":"Grover A, Leskovec J. node2vec: Scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining. ACM; 2016. p. 855\u2013864.","DOI":"10.1145\/2939672.2939754"},{"key":"pcbi.1008186.ref016","doi-asserted-by":"crossref","unstructured":"Perozzi B, Al-Rfou R, Skiena S. Deepwalk: Online learning of social representations. In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM; 2014. p. 701\u2013710.","DOI":"10.1145\/2623330.2623732"},{"key":"pcbi.1008186.ref017","unstructured":"Vilnis L, McCallum A. Word representations via gaussian embedding. arXiv preprint arXiv:14126623. 2014."},{"key":"pcbi.1008186.ref018","doi-asserted-by":"crossref","unstructured":"He S, Liu K, Ji G, Zhao J. Learning to represent knowledge graphs with gaussian embedding. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM; 2015. p. 623\u2013632.","DOI":"10.1145\/2806416.2806502"},{"key":"pcbi.1008186.ref019","doi-asserted-by":"crossref","unstructured":"Zhu D, Cui P, Wang D, Zhu W. Deep variational network embedding in wasserstein space. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. ACM; 2018. p. 2827\u20132836.","DOI":"10.1145\/3219819.3220052"},{"key":"pcbi.1008186.ref020","unstructured":"Bojchevski A, G\u00fcnnemann S. Deep gaussian embedding of graphs: Unsupervised inductive learning via ranking. arXiv preprint arXiv:170703815. 2017."},{"issue":"3","key":"pcbi.1008186.ref021","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/0022-3956(75)90026-6","article-title":"\u201cMini-mental state\u201d: a practical method for grading the cognitive state of patients for the clinician","volume":"12","author":"MF Folstein","year":"1975","journal-title":"Journal of psychiatric research"},{"issue":"4","key":"pcbi.1008186.ref022","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1111\/j.1532-5415.2005.53221.x","article-title":"The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment","volume":"53","author":"ZS Nasreddine","year":"2005","journal-title":"Journal of the American Geriatrics Society"},{"issue":"4","key":"pcbi.1008186.ref023","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1016\/j.neuron.2011.09.006","article-title":"Functional network organization of the human brain","volume":"72","author":"JD Power","year":"2011","journal-title":"Neuron"},{"issue":"2 Dementia","key":"pcbi.1008186.ref024","first-page":"404","article-title":"Mild cognitive impairment","volume":"22","author":"RC Petersen","year":"2016","journal-title":"CONTINUUM: Lifelong Learning in Neurology"},{"key":"pcbi.1008186.ref025","unstructured":"Ashburner J, Barnes G, Chen C, Daunizeau J, Flandin G, Friston K, et al. SPM12 manual. URL: https:\/\/www.fil.ion.ucl.ac.uk\/spm\/doc\/spm12_manual.pdf. 2016."},{"key":"pcbi.1008186.ref026","first-page":"13","article-title":"DPARSF: a MATLAB toolbox for \u201cpipeline\u201d data analysis of resting-state fMRI","volume":"4","author":"C Yan","year":"2010","journal-title":"Frontiers in systems neuroscience"},{"key":"pcbi.1008186.ref027","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.neuroimage.2014.07.045","article-title":"Impact of autocorrelation on functional connectivity","volume":"102","author":"MR Arbabshirani","year":"2014","journal-title":"Neuroimage"},{"issue":"1","key":"pcbi.1008186.ref028","doi-asserted-by":"crossref","first-page":"2178","DOI":"10.1038\/s41467-018-04614-w","article-title":"Mapping higher-order relations between brain structure and function with embedded vector representations of connectomes","volume":"9","author":"G Rosenthal","year":"2018","journal-title":"Nature communications"},{"issue":"11","key":"pcbi.1008186.ref029","doi-asserted-by":"crossref","first-page":"4311","DOI":"10.1109\/TSP.2006.881199","article-title":"K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation","volume":"54","author":"M Aharon","year":"2006","journal-title":"IEEE Transactions on signal processing"},{"issue":"10","key":"pcbi.1008186.ref030","doi-asserted-by":"crossref","first-page":"2197","DOI":"10.1162\/0899766041732396","article-title":"Learning eigenfunctions links spectral embedding and kernel PCA","volume":"16","author":"Y Bengio","year":"2004","journal-title":"Neural computation"},{"issue":"12","key":"pcbi.1008186.ref031","doi-asserted-by":"crossref","first-page":"eaau9403","DOI":"10.1126\/sciadv.aau9403","article-title":"Structure and dynamical behavior of non-normal networks","volume":"4","author":"M Asllani","year":"2018","journal-title":"Science advances"},{"issue":"3","key":"pcbi.1008186.ref032","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1177\/1545968310382424","article-title":"Activation and effective connectivity changes following explicit-memory training for face\u2013name pairs in patients with mild cognitive impairment: a pilot study","volume":"25","author":"BM Hampstead","year":"2011","journal-title":"Neurorehabilitation and neural repair"},{"issue":"6295","key":"pcbi.1008186.ref033","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1126\/science.aad9029","article-title":"Higher-order organization of complex networks","volume":"353","author":"AR Benson","year":"2016","journal-title":"Science"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1008186","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T00:00:00Z","timestamp":1601337600000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1008186","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T15:05:01Z","timestamp":1601391901000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1008186"}},"subtitle":[],"editor":[{"given":"Cory","family":"Inman","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,9,17]]},"references-count":33,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2020,9,17]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1008186","relation":{},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,17]]}}}