{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T15:59:16Z","timestamp":1762012756873,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030203504"},{"type":"electronic","value":"9783030203511"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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\/978-3-030-20351-1_5","type":"book-chapter","created":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T15:53:24Z","timestamp":1558540404000},"page":"57-69","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Modeling and Inference of Spatio-Temporal Protein Dynamics Across Brain Networks"],"prefix":"10.1007","author":[{"name":"for the\u00a0Alzheimer\u2019s\u00a0Disease\u00a0Neuroimaging\u00a0Initiative","sequence":"first","affiliation":[]},{"given":"Sara","family":"Garbarino","sequence":"first","affiliation":[]},{"given":"Marco","family":"Lorenzi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,5,22]]},"reference":[{"issue":"10","key":"5_CR1","doi-asserted-by":"publisher","first-page":"1332","DOI":"10.1038\/s41593-018-0235-9","volume":"21","author":"C Soto","year":"2018","unstructured":"Soto, C., Pritzkow, S.: Protein misfolding, aggregation, and conformational strains in neurodegenerative diseases. Nat. Neurosci. 21(10), 1332\u20131340 (2018)","journal-title":"Nat. Neurosci."},{"issue":"7465","key":"5_CR2","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1038\/nature12481","volume":"501","author":"M Jucker","year":"2013","unstructured":"Jucker, M., Walker, L.C.: Self-propagation of pathogenic protein aggregates in neurodegenerative diseases. Nature 501(7465), 45 (2013)","journal-title":"Nature"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"37","DOI":"10.3389\/fneur.2018.00037","volume":"9","author":"F Carbonell","year":"2018","unstructured":"Carbonell, F., Iturria-Medina, Y., Evans, A.C.: Mathematical modeling of protein misfolding mechanisms in neurological diseases: a historical overview. Front. Neurol. 9, 37 (2018)","journal-title":"Front. Neurol."},{"issue":"6","key":"5_CR4","doi-asserted-by":"publisher","first-page":"1204","DOI":"10.1016\/j.neuron.2011.12.040","volume":"73","author":"A Raj","year":"2012","unstructured":"Raj, A., Kuceyeski, A., Weiner, M.: A network diffusion model of disease progression in dementia. Neuron 73(6), 1204\u20131215 (2012)","journal-title":"Neuron"},{"key":"5_CR5","doi-asserted-by":"publisher","first-page":"580","DOI":"10.3389\/fneur.2017.00580","volume":"8","author":"NP Oxtoby","year":"2017","unstructured":"Oxtoby, N.P., et al.: Data-driven sequence of changes to anatomical brain connectivity in sporadic Alzheimer\u2019s disease. Front. Neurol. 8, 580 (2017)","journal-title":"Front. Neurol."},{"issue":"6","key":"5_CR6","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.1016\/j.neuron.2012.03.004","volume":"73","author":"J Zhou","year":"2012","unstructured":"Zhou, J., Gennatas, E.D., Kramer, J.H., Miller, B.L., Seeley, W.W.: Predicting regional neurodegeneration from the healthy brain functional connectome. Neuron 73(6), 1216\u20131227 (2012)","journal-title":"Neuron"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.neuroimage.2017.02.058","volume":"152","author":"Y Iturria-Medina","year":"2017","unstructured":"Iturria-Medina, Y., Carbonell, F.M., Sotero, R.C., Chouinard-Decorte, F., Evans, A.C.: Multifactorial causal model of brain (dis)organization and therapeutic intervention: application to Alzheimer\u2019s disease. Neuroimage 152, 60\u201377 (2017)","journal-title":"Neuroimage"},{"issue":"11","key":"5_CR8","doi-asserted-by":"publisher","first-page":"3211","DOI":"10.1093\/brain\/awy252","volume":"141","author":"F Cauda","year":"2018","unstructured":"Cauda, F., et al.: Brain structural alterations are distributed following functional, anatomic and genetic connectivity. Brain 141(11), 3211\u20133232 (2018)","journal-title":"Brain"},{"issue":"9","key":"5_CR9","doi-asserted-by":"publisher","first-page":"2564","DOI":"10.1093\/brain\/awu176","volume":"137","author":"AL Young","year":"2014","unstructured":"Young, A.L., et al.: A data-driven model of biomarker changes in sporadic Alzheimer\u2019s disease. Brain 137(9), 2564\u20132577 (2014)","journal-title":"Brain"},{"key":"5_CR10","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.neuroimage.2017.08.059","volume":"190","author":"Marco Lorenzi","year":"2019","unstructured":"Lorenzi, M., Filippone, M., Frisoni, G.B., Alexander, D.C., Ourselin, S., Alzheimer\u2019s Disease Neuroimaging Initiative: Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer\u2019s disease. Neuroimage 190, 56\u201368 (2019)","journal-title":"NeuroImage"},{"issue":"1","key":"5_CR11","first-page":"4840","volume":"18","author":"JB Schiratti","year":"2017","unstructured":"Schiratti, J.B., Allassonni\u00e0re, S., Colliot, O., Durrleman, S.: A Bayesian mixed-effects model to learn trajectories of changes from repeated manifold-valued observations. J. Mach. Learn. Res. 18(1), 4840\u20134872 (2017)","journal-title":"J. Mach. Learn. Res."},{"issue":"5","key":"5_CR12","doi-asserted-by":"publisher","first-page":"S400","DOI":"10.1016\/j.jalz.2013.10.003","volume":"10","author":"MC Donohue","year":"2014","unstructured":"Donohue, M.C., et al.: Estimating long-term multivariate progression from short-term data. Alzheimer\u2019s Dementia 10(5), S400\u2013S410 (2014)","journal-title":"Alzheimer\u2019s Dementia"},{"key":"5_CR13","unstructured":"Lorenzi, M., Filippone, M.: Constraining the dynamics of deep probabilistic models. In: Proceedings of the 35th International Conference on Machine Learning, vol. 80, pp. 3233\u20133242 (2018)"},{"key":"5_CR14","unstructured":"Cutajar, K., Bonilla, E. V., Michiardi, P., Filippone, M.: Random feature expansions for deep Gaussian processes. In: Proceedings of the 34th International Conference on Machine Learning, vol. 70, pp. 884\u2013893 (2017)"},{"issue":"12","key":"5_CR15","doi-asserted-by":"publisher","first-page":"1791","DOI":"10.1212\/WNL.58.12.1791","volume":"58","author":"DR Thal","year":"2002","unstructured":"Thal, D.R., Rub, U., Orantes, M., Braak, H.: Phases of A\n                      \n                        \n                      \n                      $${\\upbeta }$$\n                    -deposition in the human brain and its relevance for the development of AD. Neurology 58(12), 1791\u20131800 (2002)","journal-title":"Neurology"},{"issue":"7\u20138","key":"5_CR16","doi-asserted-by":"publisher","first-page":"451","DOI":"10.2119\/2007-00100.Irvine","volume":"14","author":"GB Irvine","year":"2008","unstructured":"Irvine, G.B., El-Agnaf, O.M., Shankar, G.M., Walsh, D.M.: Protein aggregation in the brain: the molecular basis for Alzheimer\u2019s and Parkinson\u2019s diseases. Mol. Med. 14(7\u20138), 451\u2013464 (2008)","journal-title":"Mol. Med."}],"container-title":["Lecture Notes in Computer Science","Information Processing in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-20351-1_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T15:53:58Z","timestamp":1558540438000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-20351-1_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030203504","9783030203511"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-20351-1_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"22 May 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hong Kong","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","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":"2 June 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 June 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmi2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ipmi2019.cse.ust.hk\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}