{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,31]],"date-time":"2026-10-31T11:39:01Z","timestamp":1793446741518,"version":"4.5.0"},"reference-count":141,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2019,12,19]],"date-time":"2019-12-19T00:00:00Z","timestamp":1576713600000},"content-version":"am","delay-in-days":365,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#am"},{"start":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T00:00:00Z","timestamp":1545177600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61379080"],"award-info":[{"award-number":["61379080"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61672473"],"award-info":[{"award-number":["61672473"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61602426"],"award-info":[{"award-number":["61602426"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R21AG043760"],"award-info":[{"award-number":["R21AG043760"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["RF1AG051710"],"award-info":[{"award-number":["RF1AG051710"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["R01AG031581"],"award-info":[{"award-number":["R01AG031581"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","award":["P30AG19610"],"award-info":[{"award-number":["P30AG19610"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["R01EB025032"],"award-info":[{"award-number":["R01EB025032"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U54EB020403"],"award-info":[{"award-number":["U54EB020403"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG024904"],"award-info":[{"award-number":["U01AG024904"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000145","name":"Division of Information and Intelligent Systems","doi-asserted-by":"publisher","award":["IIS\u20101421165"],"award-info":[{"award-number":["IIS\u20101421165"]}],"id":[{"id":"10.13039\/100000145","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000121","name":"Division of Mathematical Sciences","doi-asserted-by":"publisher","award":["DMS\u20101413417"],"award-info":[{"award-number":["DMS\u20101413417"]}],"id":[{"id":"10.13039\/100000121","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000121","name":"Division of Mathematical Sciences","doi-asserted-by":"publisher","award":["DOD ADNI"],"award-info":[{"award-number":["DOD ADNI"]}],"id":[{"id":"10.13039\/100000121","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000121","name":"Division of Mathematical Sciences","doi-asserted-by":"publisher","award":["W81XWH\u201012\u20102\u20100012"],"award-info":[{"award-number":["W81XWH\u201012\u20102\u20100012"]}],"id":[{"id":"10.13039\/100000121","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Human Brain Mapping"],"published-print":{"date-parts":[[2019,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Alzheimer's disease (AD) is the most common type of dementia in the elderly with no effective treatment currently. Recent studies of noninvasive neuroimaging, resting\u2010state functional magnetic resonance imaging (rs\u2010fMRI) with graph theoretical analysis have shown that patients with AD and mild cognitive impairment (MCI) exhibit disrupted topological organization in large\u2010scale brain networks. In previous work, it is a common practice to threshold such networks. However, it is not only difficult to make a principled choice of threshold values, but also worse is the discard of potential important information. To address this issue, we propose a threshold\u2010free feature by integrating a prior persistent homology\u2010based topological feature (the zeroth Betti number) and a newly defined connected component aggregation cost feature to model brain networks over all possible scales. We show that the induced topological feature (Integrated Persistent Feature) follows a monotonically decreasing convergence function and further propose to use its slope as a concise and persistent brain network topological measure. We apply this measure to study rs\u2010fMRI data from the Alzheimer's Disease Neuroimaging Initiative and compare our approach with five other widely used graph measures across five parcellation schemes ranging from 90 to 1,024 region\u2010of\u2010interests. The experimental results demonstrate that the proposed network measure shows more statistical power and stronger robustness in group difference studies in that the absolute values of the proposed measure of AD are lower than MCI and much lower than normal controls, providing empirical evidence for decreased functional integration in AD dementia and MCI.<\/jats:p>","DOI":"10.1002\/hbm.24383","type":"journal-article","created":{"date-parts":[[2018,12,20]],"date-time":"2018-12-20T05:39:48Z","timestamp":1545284388000},"page":"1062-1081","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["A concise and persistent feature to study brain resting\u2010state network dynamics: Findings from the Alzheimer's Disease Neuroimaging Initiative"],"prefix":"10.1002","volume":"40","author":[{"given":"Liqun","family":"Kuang","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology North University of China Taiyuan Shanxi China"},{"name":"School of Computing, Informatics, and Decision Systems Engineering Arizona State University Tempe Arizona"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xie","family":"Han","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology North University of China Taiyuan Shanxi China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8497-3069","authenticated-orcid":false,"given":"Kewei","family":"Chen","sequence":"additional","affiliation":[{"name":"Banner Alzheimer's Institute Phoenix Arizona"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard J.","family":"Caselli","sequence":"additional","affiliation":[{"name":"Department of Neurology Mayo Clinic Arizona Scottsdale Arizona"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric M.","family":"Reiman","sequence":"additional","affiliation":[{"name":"Banner Alzheimer's Institute Phoenix Arizona"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6241-735X","authenticated-orcid":false,"given":"Yalin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computing, Informatics, and Decision Systems Engineering Arizona State University Tempe Arizona"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"name":"for the Alzheimer's Disease Neuroimaging Initiative","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,12,19]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3874-05.2006"},{"key":"e_1_2_8_3_1","doi-asserted-by":"crossref","unstructured":"AdamsH TauszA Vejdemo\u2010JohanssonM. (2014). JavaPlex: A research software package for persistent (co) homology. In International Congress on Mathematical Software Berlin Heidelberg pp. 129\u2013136.","DOI":"10.1007\/978-3-662-44199-2_23"},{"key":"e_1_2_8_4_1","article-title":"Reduction of constraint systems","author":"Ait\u2010Aoudia S.","year":"2014","journal-title":"arXiv"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm554"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2008.10.017"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2005.1634"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhq291"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.22335"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2011.07.003"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910340409"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0911855107"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(06)69113-7"},{"issue":"4","key":"e_1_2_8_14_1","first-page":"340","article-title":"On human brain networks in health and disease","volume":"22","author":"Braun U.","year":"2015","journal-title":"eLS"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2013.10.081"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0019584"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2575"},{"key":"e_1_2_8_18_1","article-title":"Persistent clustering and a theorem of J. Kleinberg","author":"Carlsson G.","year":"2008","journal-title":"arXiv"},{"key":"e_1_2_8_19_1","doi-asserted-by":"publisher","DOI":"10.2967\/jnumed.111.094946"},{"key":"e_1_2_8_20_1","article-title":"Optimal rates of convergence for persistence diagrams in topological data analysis","author":"Chazal F.","year":"2013","journal-title":"arXiv"},{"key":"e_1_2_8_21_1","unstructured":"ChenC EdelsbrunnerH. (2011). Diffusion runs low on persistence fast. In IEEE International Conference on Computer Vision Barcelona Spain pp. 423\u2013430."},{"key":"e_1_2_8_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.01.049"},{"key":"e_1_2_8_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.05.039"},{"key":"e_1_2_8_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2015.2416271"},{"key":"e_1_2_8_25_1","doi-asserted-by":"crossref","unstructured":"ChungMK Villalta\u2010GilV LeeH RathouzPJ LaheyBB ZaldDH. (2017). Exact topological inference for paired brain networks via persistent homology. In International Conference on Information Processing in Medical Imaging Boone NC pp. 299\u2013310.","DOI":"10.1007\/978-3-319-59050-9_24"},{"key":"e_1_2_8_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2014.05.001"},{"key":"e_1_2_8_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10208-010-9060-6"},{"issue":"7","key":"e_1_2_8_28_1","first-page":"1326","article-title":"Frequencies contributing to functional connectivity in the cerebral cortex in \u201cresting\u2010state\u201d data","volume":"22","author":"Cordes D.","year":"2001","journal-title":"American Journal of Neuroradiology"},{"key":"e_1_2_8_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"issue":"2","key":"e_1_2_8_30_1","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1111\/j.2517-6161.1972.tb00899.x","article-title":"Regression models and life\u2010tables","volume":"34","author":"Cox D. R.","year":"1972","journal-title":"Journal of the Royal Statistical Society. Series B, Methodological"},{"key":"e_1_2_8_31_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.21333"},{"key":"e_1_2_8_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12264-013-1421-0"},{"key":"e_1_2_8_33_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhu246"},{"key":"e_1_2_8_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-009-0208-6"},{"key":"e_1_2_8_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.11.055"},{"issue":"1","key":"e_1_2_8_36_1","first-page":"10","article-title":"Homological sensor networks","volume":"54","author":"De Silva V.","year":"2007","journal-title":"Notices of the American Mathematical Society"},{"key":"e_1_2_8_37_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.13131044"},{"key":"e_1_2_8_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2010.08.027"},{"key":"e_1_2_8_39_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.09.058"},{"key":"e_1_2_8_40_1","volume-title":"Computational topology: An introduction","author":"Edelsbrunner H.","year":"2010"},{"key":"e_1_2_8_41_1","unstructured":"EdelsbrunnerH LetscherD ZomorodianA. (2000). Topological persistence and simplification. In Proceedings of the 41st annual symposium on foundations of computer science Redondo Beach CA p. 454\u2013463."},{"key":"e_1_2_8_42_1","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awv075"},{"key":"e_1_2_8_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/0022-3956(75)90026-6"},{"key":"e_1_2_8_44_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn2201"},{"key":"e_1_2_8_45_1","doi-asserted-by":"publisher","DOI":"10.1152\/jn.90777.2008"},{"key":"e_1_2_8_46_1","unstructured":"D. Freedman C. Chen 2009 Nova Science Pub. Inc Hauppauge New York"},{"key":"e_1_2_8_47_1","doi-asserted-by":"publisher","DOI":"10.1090\/S0273-0979-07-01191-3"},{"key":"e_1_2_8_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10827-016-0608-6"},{"key":"e_1_2_8_49_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1506407112"},{"key":"e_1_2_8_50_1","doi-asserted-by":"publisher","DOI":"10.2307\/2346439"},{"key":"e_1_2_8_51_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.12.052"},{"key":"e_1_2_8_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(94)00248-9"},{"key":"e_1_2_8_53_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2010.11.059"},{"key":"e_1_2_8_54_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0141-08.2008"},{"key":"e_1_2_8_55_1","doi-asserted-by":"publisher","DOI":"10.1177\/1073858409334423"},{"key":"e_1_2_8_56_1","doi-asserted-by":"publisher","DOI":"10.1097\/WCO.0b013e32833aa567"},{"key":"e_1_2_8_57_1","doi-asserted-by":"publisher","DOI":"10.1214\/009053607000000677"},{"key":"e_1_2_8_58_1","volume-title":"Nonparametric statistical methods","author":"Hollander M.","year":"1973"},{"key":"e_1_2_8_59_1","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-141338"},{"key":"e_1_2_8_60_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.55.4.484"},{"key":"e_1_2_8_61_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.52.7.1397"},{"key":"e_1_2_8_62_1","doi-asserted-by":"publisher","DOI":"10.1177\/1073858415595004"},{"key":"e_1_2_8_63_1","doi-asserted-by":"publisher","DOI":"10.2967\/jnumed.113.120618"},{"key":"e_1_2_8_64_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/8.4.372"},{"key":"e_1_2_8_65_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.07.040"},{"key":"e_1_2_8_66_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-015-9448-7"},{"key":"e_1_2_8_67_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2015.05.050"},{"key":"e_1_2_8_68_1","unstructured":"KusanoG HiraokaY FukumizuK. (2016). Persistence weighted Gaussian kernel for topological data analysis. In International Conference on Machine Learning New York p. 2004\u20132013."},{"key":"e_1_2_8_69_1","doi-asserted-by":"publisher","DOI":"10.1002\/ana.23650"},{"key":"e_1_2_8_70_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2013.107"},{"key":"e_1_2_8_71_1","doi-asserted-by":"crossref","unstructured":"LeeH ChungMK KangH LeeDS. (2014). Hole Detection in Metabolic Connectivity of Alzheimer's Disease Using k\u2212Laplacian. In International Conference on Medical Image Computing and Computer\u2010Assisted Intervention Boston MA USA pp. 297\u2013304.","DOI":"10.1007\/978-3-319-10443-0_38"},{"key":"e_1_2_8_72_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2012.2219590"},{"key":"e_1_2_8_73_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23461"},{"key":"e_1_2_8_74_1","doi-asserted-by":"publisher","DOI":"10.1097\/RMR.0000000000000075"},{"key":"e_1_2_8_75_1","doi-asserted-by":"publisher","DOI":"10.3174\/ajnr.A3263"},{"key":"e_1_2_8_76_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2251011301"},{"key":"e_1_2_8_77_1","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-131322"},{"key":"e_1_2_8_78_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuropsychologia.2008.01.027"},{"key":"e_1_2_8_79_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4136-10.2010"},{"key":"e_1_2_8_80_1","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0333-10.2010"},{"key":"e_1_2_8_81_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neurobiolaging.2015.09.010"},{"key":"e_1_2_8_82_1","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.1998.0384"},{"key":"e_1_2_8_83_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1001504107"},{"key":"e_1_2_8_84_1","doi-asserted-by":"crossref","unstructured":"MariaC BoissonnatJ\u2010D GlisseM YvinecM. (2014). The Gudhi library: Simplicial complexes and persistent homology. In International Congress on Mathematical Software Seoul South Korea p. 167\u2013174.","DOI":"10.1007\/978-3-662-44199-2_28"},{"key":"e_1_2_8_85_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.34.7.939"},{"key":"e_1_2_8_86_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalz.2011.03.005"},{"key":"e_1_2_8_87_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.43.11.2412-a"},{"key":"e_1_2_8_88_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.09.036"},{"key":"e_1_2_8_89_1","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/26.4.354"},{"key":"e_1_2_8_90_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.026113"},{"key":"e_1_2_8_91_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3181b23564"},{"key":"e_1_2_8_92_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.56.9.1133"},{"key":"e_1_2_8_93_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2014.0873"},{"key":"e_1_2_8_94_1","doi-asserted-by":"publisher","DOI":"10.1093\/scan\/nsm006"},{"key":"e_1_2_8_95_1","doi-asserted-by":"publisher","DOI":"10.1145\/98267.98287"},{"key":"e_1_2_8_96_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.10.018"},{"key":"e_1_2_8_97_1","doi-asserted-by":"publisher","DOI":"10.3233\/JAD-160403"},{"key":"e_1_2_8_98_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.10.003"},{"key":"e_1_2_8_99_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.22495"},{"key":"e_1_2_8_100_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0013788"},{"key":"e_1_2_8_101_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.08.052"},{"key":"e_1_2_8_102_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2012.11.028"},{"key":"e_1_2_8_103_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.03.061"},{"key":"e_1_2_8_104_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0025031"},{"key":"e_1_2_8_105_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0708803104"},{"key":"e_1_2_8_106_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1749-6632.2010.05888.x"},{"key":"e_1_2_8_107_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-psych-122414-033634"},{"key":"e_1_2_8_108_1","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhj127"},{"key":"e_1_2_8_109_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2014.04.001"},{"key":"e_1_2_8_110_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.01.005"},{"key":"e_1_2_8_111_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1000100"},{"key":"e_1_2_8_112_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.12.073"},{"key":"e_1_2_8_113_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474-4422(15)00093-9"},{"key":"e_1_2_8_114_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2014.10.015"},{"key":"e_1_2_8_115_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00234-017-1821-3"},{"key":"e_1_2_8_116_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2017.07.019"},{"issue":"7","key":"e_1_2_8_117_1","doi-asserted-by":"crossref","first-page":"e00733","DOI":"10.1002\/brb3.733","article-title":"Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry","volume":"7","author":"Tsao S.","year":"2017","journal-title":"Brain and Behavior: A Cognitive Neuroscience Perspective"},{"key":"e_1_2_8_118_1","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2001.0978"},{"key":"e_1_2_8_119_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.10.010"},{"key":"e_1_2_8_120_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24014"},{"key":"e_1_2_8_121_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.59.6.874"},{"key":"e_1_2_8_122_1","doi-asserted-by":"publisher","DOI":"10.1152\/jn.00783.2009"},{"key":"e_1_2_8_123_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.07.044"},{"key":"e_1_2_8_124_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23617"},{"key":"e_1_2_8_125_1","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e31822cfc2f"},{"key":"e_1_2_8_126_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.20623"},{"key":"e_1_2_8_127_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsych.2012.03.026"},{"key":"e_1_2_8_128_1","first-page":"16","article-title":"Graph\u2010based network analysis of resting\u2010state functional MRI","volume":"4","author":"Wang J.","year":"2010","journal-title":"Frontiers in Systems Neuroscience"},{"key":"e_1_2_8_129_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.03.040"},{"key":"e_1_2_8_130_1","doi-asserted-by":"publisher","DOI":"10.1038\/30918"},{"key":"e_1_2_8_131_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-015-9408-2"},{"key":"e_1_2_8_132_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.05.005"},{"key":"e_1_2_8_133_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.12.058"},{"key":"e_1_2_8_134_1","doi-asserted-by":"crossref","unstructured":"WuJ ZhangJ ShiJ ChenK CaselliR ReimanE WangY. (2018). Hippocampus Morphometry Study on Pathology\u2010Confirmed Alzheimer's Disease Patients with Surface Multivariate Mrophometry Statistics. In IEEE International Symposium on BIOMEDICAL IMAGING: From Nano to Macro (ISBI) Washington D.C.","DOI":"10.1109\/ISBI.2018.8363870"},{"key":"e_1_2_8_135_1","doi-asserted-by":"crossref","unstructured":"WuP ChenC WangY ZhangS YuanC QianZ MetaxasD AxelL. (2017). Optimal topological cycles and their application in cardiac trabeculae restoration. In International Conference on Information Processing in Medical Imaging Boone NC pp. 80\u201392.","DOI":"10.1007\/978-3-319-59050-9_7"},{"issue":"5","key":"e_1_2_8_136_1","first-page":"858","article-title":"Functional MRI study of mild Alzheimer's disease using amplitude of low frequency fluctuation analysis","volume":"125","author":"Xi Q.","year":"2012","journal-title":"Chinese Medical Journal"},{"key":"e_1_2_8_137_1","first-page":"13","article-title":"DPARSF: A MATLAB toolbox for \"pipeline\" data analysis of resting\u2010state fMRI","volume":"4","author":"Yan C.","year":"2010","journal-title":"Frontiers in Systems Neuroscience"},{"key":"e_1_2_8_138_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1001006"},{"key":"e_1_2_8_139_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.23352"},{"key":"e_1_2_8_140_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2012.01.068"},{"key":"e_1_2_8_141_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2009.12.027"},{"key":"e_1_2_8_142_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2003.12.030"}],"container-title":["Human Brain Mapping"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fhbm.24383","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/hbm.24383","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/hbm.24383","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/am-pdf\/10.1002\/hbm.24383","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/hbm.24383","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,13]],"date-time":"2024-07-13T13:55:39Z","timestamp":1720878939000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/hbm.24383"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,19]]},"references-count":141,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["10.1002\/hbm.24383"],"URL":"https:\/\/doi.org\/10.1002\/hbm.24383","archive":["Portico"],"relation":{},"ISSN":["1065-9471","1097-0193"],"issn-type":[{"value":"1065-9471","type":"print"},{"value":"1097-0193","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,19]]},"assertion":[{"value":"2018-05-23","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-08-26","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2018-12-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}