{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T08:30:00Z","timestamp":1745483400069,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030009304"},{"type":"electronic","value":"9783030009311"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-00931-1_17","type":"book-chapter","created":{"date-parts":[[2018,9,12]],"date-time":"2018-09-12T23:26:09Z","timestamp":1536794769000},"page":"145-153","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["A Riemannian Framework for Longitudinal Analysis of Resting-State Functional Connectivity"],"prefix":"10.1007","author":[{"given":"Qingyu","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Dongjin","family":"Kwon","sequence":"additional","affiliation":[]},{"given":"Kilian M.","family":"Pohl","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,13]]},"reference":[{"issue":"1","key":"17_CR1","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1002\/hbm.22616","volume":"36","author":"O Odish","year":"2015","unstructured":"Odish, O., et al.: Longitudinal resting state fMRI analysis in healthy controls and premanifest Huntington\u2019s disease gene carriers: a three-year follow-up study. Hum. Brain Mapp. 36(1), 110\u2013119 (2015)","journal-title":"Hum. Brain Mapp."},{"issue":"23","key":"17_CR2","doi-asserted-by":"publisher","first-page":"3262","DOI":"10.1089\/neu.2017.5185","volume":"34","author":"H van der Horn","year":"2017","unstructured":"van der Horn, H., et al.: The default mode network as a biomarker of persistent complaints after mild traumatic brain injury: a longitudinal functional magnetic resonance imaging study. J. Neurotrauma 34(23), 3262\u20133269 (2017)","journal-title":"J. Neurotrauma"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Beckmann, C., Mackay, C., Filippini, N., Smith, S.: Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. OHBM (2009)","DOI":"10.1016\/S1053-8119(09)71511-3"},{"key":"17_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1007\/978-3-642-15705-9_25","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2010","author":"G Varoquaux","year":"2010","unstructured":"Varoquaux, G., Baronnet, F., Kleinschmidt, A., Fillard, P., Thirion, B.: Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 200\u2013208. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15705-9_25"},{"issue":"1","key":"17_CR5","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/s11263-005-3222-z","volume":"66","author":"X Pennec","year":"2006","unstructured":"Pennec, X., Fillard, P., Ayache, N.: A Riemannian framework for tensor computing. IJCV 66(1), 41\u201366 (2006)","journal-title":"IJCV"},{"key":"17_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1007\/978-3-319-19992-4_11","volume-title":"Information Processing in Medical Imaging","author":"Y Hong","year":"2015","unstructured":"Hong, Y., Singh, N., Kwitt, R., Niethammer, M.: Group testing for longitudinal data. In: Ourselin, S., Alexander, D.C., Westin, C.-F., Cardoso, M.J. (eds.) IPMI 2015. LNCS, vol. 9123, pp. 139\u2013151. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-19992-4_11"},{"issue":"2","key":"17_CR7","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11263-012-0591-y","volume":"105","author":"PT Fletcher","year":"2013","unstructured":"Fletcher, P.T.: Geodesic regression and the theory of least squares on Riemannian manifolds. IJCV 105(2), 171\u2013185 (2013)","journal-title":"IJCV"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Kim, H.J., Adluru, N., Suri, H., Vemuri, B.C., Johnson, S.C., Singh, V.: Riemannian nonlinear mixed effects models: analyzing longitudinal deformations in neuroimaging. In: CVPR, pp. 172\u2013181 (2017)","DOI":"10.1109\/CVPR.2017.612"},{"key":"17_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1007\/978-3-319-10470-6_51","volume-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2014","author":"B Ng","year":"2014","unstructured":"Ng, B., Dressler, M., Varoquaux, G., Poline, J.B., Greicius, M., Thirion, B.: Transport on Riemannian manifold for functional connectivity-based classification. In: Golland, P., Hata, N., Barillot, C., Hornegger, J., Howe, R. (eds.) MICCAI 2014. LNCS, vol. 8674, pp. 405\u2013412. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10470-6_51"},{"key":"17_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1007\/978-3-319-67675-3_17","volume-title":"Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics","author":"KM Campbell","year":"2017","unstructured":"Campbell, K.M., Fletcher, P.T.: Efficient parallel transport in the group of diffeomorphisms via reduction to the lie algebra. In: Cardoso, M.J. (ed.) GRAIL\/MFCA\/MICGen -2017. LNCS, vol. 10551, pp. 186\u2013198. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-67675-3_17"},{"issue":"1","key":"17_CR11","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1093\/biomet\/asm001","volume":"94","author":"EA Thompson","year":"2007","unstructured":"Thompson, E.A., Geyer, C.J.: Fuzzy p-values in latent variable problems. Biometrika 94(1), 49\u201360 (2007)","journal-title":"Biometrika"},{"issue":"4","key":"17_CR12","doi-asserted-by":"publisher","first-page":"4160","DOI":"10.1016\/j.neuroimage.2011.11.088","volume":"59","author":"E Erhardt","year":"2012","unstructured":"Erhardt, E., Allen, E., Wei, Y., Eichele, T., Calhoun, V.: SimTB, a simulation toolbox for fMRI data under a model of spatiotemporal separability. NeuroImage 59(4), 4160\u20134167 (2012)","journal-title":"NeuroImage"},{"key":"17_CR13","unstructured":"Ferreira, R., Xavier, J., Costeira, J.P., Barroso, V.: Newton method for Riemannian centroid computation in naturally reductive homogeneous spaces. In: ICASSP (2006)"},{"issue":"3","key":"17_CR14","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1093\/cercor\/bhx014","volume":"28","author":"E M\u00fcller-Oehring","year":"2018","unstructured":"M\u00fcller-Oehring, E., et al.: Influences of age, sex, and moderate alcohol drinking on the intrinsic functional architecture of adolescent brains. Cereb. Cortex 28(3), 1049\u20131063 (2018)","journal-title":"Cereb. Cortex"},{"issue":"8","key":"17_CR15","doi-asserted-by":"publisher","first-page":"1914","DOI":"10.1002\/hbm.21333","volume":"33","author":"R Craddock","year":"2012","unstructured":"Craddock, R., James, G., Holtzheimer, P., Hu, X., Mayberg, H.: A whole brain fMRI atlas generated via spatially constrained spectral clustering. Hum. Brain Mapp. 33(8), 1914\u20131928 (2012)","journal-title":"Hum. Brain Mapp."}],"container-title":["Lecture Notes in Computer Science","Medical Image Computing and Computer Assisted Intervention \u2013 MICCAI 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00931-1_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:04:27Z","timestamp":1710360267000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00931-1_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030009304","9783030009311"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00931-1_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"13 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICCAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Medical Image Computing and Computer-Assisted Intervention","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Granada","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"miccai2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.miccai2018.org\/en\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}