{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T07:11:04Z","timestamp":1766733064871,"version":"3.37.3"},"publisher-location":"Cham","reference-count":28,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030108274"},{"type":"electronic","value":"9783030108281"}],"license":[{"start":{"date-parts":[[2018,12,22]],"date-time":"2018-12-22T00:00:00Z","timestamp":1545436800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-10828-1_9","type":"book-chapter","created":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T06:48:05Z","timestamp":1545374885000},"page":"110-122","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Harmonic Holes as the Submodules of Brain Network and Network Dissimilarity"],"prefix":"10.1007","author":[{"given":"Hyekyoung","family":"Lee","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moo K.","family":"Chung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongyoon","family":"Choi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyejin","family":"Kang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seunggyun","family":"Ha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu Kyeong","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong Soo","family":"Lee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,12,22]]},"reference":[{"key":"9_CR1","series-title":"Mathematics and Visualization","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/978-3-642-18638-7_4","volume-title":"Graph Drawing Software","author":"V Batagelj","year":"2003","unstructured":"Batagelj, V., Mrvar, A.: Pajek - analysis and visualization of large networks. In: J\u00fcnger, M., Mutzel, P. (eds.) Graph Drawing Software. Mathematics and Visualization, pp. 77\u2013103. Springer, Heidelberg (2003). \nhttps:\/\/doi.org\/10.1007\/978-3-642-18638-7_4"},{"key":"9_CR2","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1142\/S0218654305000761","volume":"11","author":"G Carlsson","year":"2005","unstructured":"Carlsson, G., Collins, A., Guibas, L.J.: Persistence barcodes for shapes. Int. J. Shape Model. 11, 149\u2013187 (2005)","journal-title":"Int. J. Shape Model."},{"issue":"1","key":"9_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11263-007-0056-x","volume":"76","author":"G Carlsson","year":"2008","unstructured":"Carlsson, G., Ishkhanov, T., de Silva, V., Zomorodian, A.: On the local behavior of spaces of natural images. Int. J. Comput. Vis. 76(1), 1\u201312 (2008)","journal-title":"Int. J. Comput. Vis."},{"key":"9_CR4","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.bbr.2018.02.017","volume":"344","author":"H Choi","year":"2018","unstructured":"Choi, H., Jin, K.H.: Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging. Behav. Brain Res. 344, 103\u2013109 (2018). \nhttps:\/\/doi.org\/10.1016\/j.bbr.2018.02.017\n\n. \nhttps:\/\/www.sciencedirect.com\/science\/article\/pii\/S0166432818301013","journal-title":"Behav. Brain Res."},{"key":"9_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1007\/978-3-642-02498-6_32","volume-title":"Information Processing in Medical Imaging","author":"MK Chung","year":"2009","unstructured":"Chung, M.K., Bubenik, P., Kim, P.T.: Persistence diagrams of cortical surface data. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 386\u2013397. Springer, Heidelberg (2009). \nhttps:\/\/doi.org\/10.1007\/978-3-642-02498-6_32"},{"key":"9_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/978-3-319-59050-9_24","volume-title":"Information Processing in Medical Imaging","author":"MK Chung","year":"2017","unstructured":"Chung, M.K., Villalta-Gil, V., Lee, H., Rathouz, P.J., Lahey, B.B., Zald, D.H.: Exact topological inference for paired brain networks via persistent homology. In: Niethammer, M., et al. (eds.) IPMI 2017. LNCS, vol. 10265, pp. 299\u2013310. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-59050-9_24"},{"key":"9_CR7","unstructured":"Chung, M.K., et al.: Topological brain network distances. \narXiv:1809.03878\n\n [stat.AP] (2018). \nhttps:\/\/arxiv.org\/abs\/1809.03878"},{"key":"9_CR8","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1007\/s00454-006-1276-5","volume":"37","author":"D Cohen-Steiner","year":"2007","unstructured":"Cohen-Steiner, D., Edelsbrunner, H., Harer, J.: Stability of persistence diagrams. Discrete Comput. Geom. 37, 103\u2013120 (2007)","journal-title":"Discrete Comput. Geom."},{"key":"9_CR9","doi-asserted-by":"crossref","unstructured":"Coifman, R.R., Lafon, S., Lee, A.B., Maggioni, M., Warner, F., Zucker, S.: Geometric diffusions as a tool for harmonic analysis and structure definition of data: diffusion maps. In: Proceedings of the National Academy of Sciences, pp. 7426\u20137431 (2005)","DOI":"10.1073\/pnas.0500334102"},{"key":"9_CR10","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1090\/conm\/453\/08802","volume":"453","author":"H Edelsbrunner","year":"2008","unstructured":"Edelsbrunner, H., Harer, J.: Persistent homology - a survey. Contemp. Math. 453, 257\u2013282 (2008)","journal-title":"Contemp. Math."},{"key":"9_CR11","doi-asserted-by":"publisher","DOI":"10.1090\/mbk\/069","volume-title":"Computational Topology: An Introduction","author":"H Edelsbrunner","year":"2009","unstructured":"Edelsbrunner, H., Harer, J.: Computational Topology: An Introduction. American Mathematical Society Press, New York (2009)"},{"key":"9_CR12","doi-asserted-by":"crossref","unstructured":"Friedman, J.: Computing Betti numbers via combinatorial Laplacians. In: Proceedings of the 28th Annual ACM Symposium on the Theory of Computing, pp. 386\u2013391 (1996)","DOI":"10.1145\/237814.237985"},{"key":"9_CR13","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/j.aim.2013.05.007","volume":"244","author":"D Horak","year":"2013","unstructured":"Horak, D., Jost, J.: Spectra of combinatorial Laplace operators on simplicial complexes. Adv. Math. 244, 303\u2013336 (2013)","journal-title":"Adv. Math."},{"key":"9_CR14","doi-asserted-by":"publisher","unstructured":"Kim, Y.-J., Kook, W.: Harmonic cycles for graphs. Linear Multilinear Algebra, 1\u201311 (2018). \nhttps:\/\/doi.org\/10.1080\/03081087.2018.1440519","DOI":"10.1080\/03081087.2018.1440519"},{"key":"9_CR15","doi-asserted-by":"publisher","unstructured":"Lee, H., Chung, M.K., Kang, H., Choi, H., Kim, Y.K., Lee, D.S.: Abnormal hole detection in brain connectivity by kernel density of persistence diagram and Hodge Laplacian. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 20\u201323, April 2018. \nhttps:\/\/doi.org\/10.1109\/ISBI.2018.8363514","DOI":"10.1109\/ISBI.2018.8363514"},{"key":"9_CR16","doi-asserted-by":"publisher","first-page":"2267","DOI":"10.1109\/TMI.2012.2212450","volume":"31","author":"H Lee","year":"2012","unstructured":"Lee, H., Chung, M.K., Kang, H., Kim, B.N., Lee, D.S.: Persistent brain network homology from the perspective of dendrogram. IEEE Trans. Med. Imaging 31, 2267\u20132277 (2012)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"9_CR17","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1007\/978-3-319-10443-0_38","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"Hyekyoung Lee","year":"2014","unstructured":"Lee, H., Chung, M.K., Kang, H., Lee, D.S.: Hole detection in metabolic connectivity of alzheimer\u2019s disease using k\u2013laplacian. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014, LNCS, vol. 8675, pp. 297\u2013304. Springer, Cham (2014). \nhttps:\/\/doi.org\/10.1007\/978-3-319-10443-0_38"},{"key":"9_CR18","unstructured":"Lim, L.H.: Hodge Laplacians on graphs. Geometry and topology in statistical inference. In: Proceedings of Symposia in Applied Mathematics, vol. 73 (2015)"},{"issue":"101","key":"9_CR19","doi-asserted-by":"publisher","first-page":"20140873","DOI":"10.1098\/rsif.2014.0873","volume":"11","author":"G Petri","year":"2014","unstructured":"Petri, G., et al.: Homological scaffolds of brain functional networks. J. Roy. Soc. Interface 11(101), 20140873 (2014). \nhttps:\/\/doi.org\/10.1098\/rsif.2014.0873","journal-title":"J. Roy. Soc. Interface"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Reininghaus, J., Huber, S., Bauer, U., Kwitt, R.: A stable multi-scale kernel for topological machine learning. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4741\u20134748, June 2015","DOI":"10.1109\/CVPR.2015.7299106"},{"key":"9_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.neuroimage.2015.07.075","volume":"122","author":"ET Rolls","year":"2015","unstructured":"Rolls, E.T., Joliot, M., Tzourio-Mazoyer, N.: Implementation of a new parcellation of the orbitofrontal cortex in the automated anatomical labeling atlas. Neuroimage 122, 1\u20135 (2015)","journal-title":"Neuroimage"},{"issue":"7","key":"9_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0068860","volume":"8","author":"G Sanabria-Diaz","year":"2013","unstructured":"Sanabria-Diaz, G., Mart\u00ecnez-Montes, E., Melie-Garcia, L., Alzheimer\u2019s Disease Neuroimaging Initiative: Glucose metabolism during resting state reveals abnormal brain networks organization in the Alzheimer\u2019s disease and mild cognitive impairment. PLOS ONE 8(7), 1\u201325 (2013). \nhttps:\/\/doi.org\/10.1371\/journal.pone.0068860","journal-title":"PLOS ONE"},{"key":"9_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1167\/8.8.11","volume":"8","author":"G Singh","year":"2008","unstructured":"Singh, G., Memoli, F., Ishkhanov, T., Sapiro, G., Carlsson, G., Ringach, D.L.: Topological analysis of population activity in visual cortex. J. Vis. 8, 1\u201318 (2008)","journal-title":"J. Vis."},{"key":"9_CR24","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1007\/s10827-017-0672-6","volume":"44","author":"A Sizemore","year":"2018","unstructured":"Sizemore, A., Giusti, C., Kahn, A., Vettel, J., Betzel, R., Bassett, D.: Cliques and cavities in the human connectome. J. Comput. Neurosci. 44, 115\u2013145 (2018)","journal-title":"J. Comput. Neurosci."},{"issue":"7","key":"9_CR25","doi-asserted-by":"publisher","first-page":"1537","DOI":"10.1109\/TMI.2018.2831261","volume":"37","author":"V Solo","year":"2018","unstructured":"Solo, V., et al.: Connectivity in fMRI: blind spots and breakthroughs. IEEE Trans. Med. Imaging 37(7), 1537\u20131550 (2018). \nhttps:\/\/doi.org\/10.1109\/TMI.2018.2831261","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"9_CR26","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1093\/cercor\/10.2.127","volume":"10","author":"O Sporns","year":"2000","unstructured":"Sporns, O., Tononi, G., Edelman, G.: Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices. Cereb. Cortex 10(2), 127\u2013141 (2000). \nhttps:\/\/doi.org\/10.1093\/cercor\/10.2.127","journal-title":"Cereb. Cortex"},{"key":"9_CR27","doi-asserted-by":"publisher","first-page":"19.1","DOI":"10.1146\/annurev-psych-122414-033634","volume":"67","author":"O Sporns","year":"2016","unstructured":"Sporns, O., Betzel, R.F.: Modular brain networks. Ann. Rev. Psychol. 67, 19.1\u201319.28 (2016)","journal-title":"Ann. Rev. Psychol."},{"key":"9_CR28","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1007\/s00454-004-1146-y","volume":"33","author":"A Zomorodian","year":"2005","unstructured":"Zomorodian, A., Carlsson, G.: Computing persistent homology. Discrete Comput. Geom. 33, 249\u2013274 (2005)","journal-title":"Discrete Comput. Geom."}],"container-title":["Lecture Notes in Computer Science","Computational Topology in Image Context"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-10828-1_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,12,21]],"date-time":"2018-12-21T06:51:28Z","timestamp":1545375088000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-10828-1_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,22]]},"ISBN":["9783030108274","9783030108281"],"references-count":28,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-10828-1_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018,12,22]]},"assertion":[{"value":"CTIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Computational Topology in Image Context","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"M\u00e1laga","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 January 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 January 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ctic2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ctic2019.uma.es\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"ConfTool","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"21","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"14","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"14","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"67% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"1.2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information"}}]}}