{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T10:45:07Z","timestamp":1782816307140,"version":"3.54.5"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61401169"],"award-info":[{"award-number":["61401169"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Comput. Biol. and Bioinf."],"published-print":{"date-parts":[[2019,1,1]]},"DOI":"10.1109\/tcbb.2017.2776910","type":"journal-article","created":{"date-parts":[[2017,11,23]],"date-time":"2017-11-23T19:08:52Z","timestamp":1511464132000},"page":"244-257","source":"Crossref","is-referenced-by-count":221,"title":["Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4349-1140","authenticated-orcid":false,"given":"Ronghui","family":"Ju","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenhui","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8629-4622","authenticated-orcid":false,"given":"Pan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9651-5820","authenticated-orcid":false,"given":"Quanzheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/503031a"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.06.029"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.08.035"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.euroneuro.2010.03.008"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1073\/pnas.0135058100","article-title":"Functional connectivity in the resting brain: A network analysis of the default mode hypothesis","volume":"100","author":"greicius","year":"2003","journal-title":"Proc Nat Academy Sci USA"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013699998"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0043-5"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.neulet.2009.08.061"},{"key":"ref35","article-title":"Cross-validation for detecting and preventing overfitting","author":"moore","year":"2001"},{"key":"ref34","first-page":"206","article-title":"Pattern recognition and machine learning","author":"bishop","year":"2006","journal-title":"Springer"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.06.013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.09.065"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0068910"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.10100734"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a006213"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.5698-11.2012"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0708803104"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/35084005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.14132388"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0933"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0037828"},{"key":"ref28","first-page":"334","article-title":"Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs","author":"xiong","year":"2004","journal-title":"Proc 10th ACM SIGKDD Int Conf Knowl Discovery Data Mining"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.10.031"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1177\/00220345860650020701"},{"key":"ref3","year":"2012"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.61.1.59"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.1037"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.58.12.1985"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-014-9320-1"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1034\/j.1600-0447.2002.01417.x","article-title":"Mild congnitive impairment - A review of prevalence, incidence and outcome according to current approaches","volume":"106","author":"bischkopf","year":"2002","journal-title":"Acta Psychiatrica Scandinavica"},{"key":"ref2","first-page":"1","article-title":"Deaths: Final data for 2006","volume":"57","author":"heron","year":"2009","journal-title":"Department of Health and Human Services Centers for Disease Control and Prevention National Center for Health Statistics"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.02.040"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.b158"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/PRNI.2011.12"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-2011-102154"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.05.011"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025563"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Sci"},{"key":"ref24","article-title":"Learning deep convolutional features for MRI based Alzheimer's disease classification","author":"liu","year":"2014"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2014.07.006"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2014.6868045"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20324"},{"key":"ref26","first-page":"2079","article-title":"On over-fitting in model selection and subsequent selection bias in performance evaluation","volume":"11","author":"cawley","year":"2010","journal-title":"J Mach Learning Res"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1038\/nrn3801"},{"key":"ref25","article-title":"DPARSF: A MATLAB toolbox for pipeline data analysis of resting-state fMRI","volume":"4","author":"chao-gan","year":"2010","journal-title":"Frontiers Syst Neurosci"},{"key":"ref43","first-page":"808","article-title":"Learning brain connectivity of Alzheimer's disease from neuroimaging data","author":"huang","year":"2009","journal-title":"Proc Adv Neural Inform Process Syst"}],"container-title":["IEEE\/ACM Transactions on Computational Biology and Bioinformatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8857\/8635319\/08119531.pdf?arnumber=8119531","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:58:51Z","timestamp":1657745931000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8119531\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,1]]},"references-count":46,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tcbb.2017.2776910","relation":{},"ISSN":["1545-5963","1557-9964","2374-0043"],"issn-type":[{"value":"1545-5963","type":"print"},{"value":"1557-9964","type":"electronic"},{"value":"2374-0043","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,1]]}}}