{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:52:52Z","timestamp":1742964772509,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030026974"},{"type":"electronic","value":"9783030026981"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[[2018]]},"DOI":"10.1007\/978-3-030-02698-1_56","type":"book-chapter","created":{"date-parts":[[2018,11,8]],"date-time":"2018-11-08T16:46:59Z","timestamp":1541695619000},"page":"646-654","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dissociating Group and Individual Profile of Functional Connectivity Using Low Rank Matrix Recovery"],"prefix":"10.1007","author":[{"given":"Jian","family":"Qin","sequence":"first","affiliation":[]},{"given":"Hui","family":"Shen","sequence":"additional","affiliation":[]},{"given":"LingLi","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Kai","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Dewen","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,11,9]]},"reference":[{"issue":"7573","key":"56_CR1","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1038\/nature15692","volume":"526","author":"Russell A. Poldrack","year":"2015","unstructured":"Poldrack, R.A., Farah, M.J.: Progress and challenges in probing the human brain. Nature 526(7573), 371\u2013379 (2015)","journal-title":"Nature"},{"issue":"1","key":"56_CR2","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.neuron.2015.09.027","volume":"88","author":"SE Petersen","year":"2015","unstructured":"Petersen, S.E., Sporns, O.: Brain networks and cognitive architectures. Neuron 88(1), 207\u2013219 (2015)","journal-title":"Neuron"},{"issue":"1","key":"56_CR3","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1152\/jn.00783.2009","volume":"103","author":"KR Van Dijk","year":"2010","unstructured":"Van Dijk, K.R., Hedden, T., Venkataraman, A.: Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J. Neurophysiol. 103(1), 297\u2013321 (2010)","journal-title":"J. Neurophysiol."},{"key":"56_CR4","doi-asserted-by":"publisher","first-page":"918","DOI":"10.1016\/j.neuroimage.2016.08.032","volume":"146","author":"Evan M. Gordon","year":"2017","unstructured":"Gordon, E.M., Laumann, T.O., Adeyemo, B.: Individual-specific features of brain systems identified with resting state functional correlations. Neuroimage 146, 918\u2013939 (2017)","journal-title":"NeuroImage"},{"issue":"6","key":"56_CR5","doi-asserted-by":"publisher","first-page":"425","DOI":"10.1016\/j.tics.2016.03.014","volume":"20","author":"J Dubois","year":"2016","unstructured":"Dubois, J., Adolphs, R.: Building a science of individual differences from fMRI. Trends Cogn. Sci. 20(6), 425\u2013443 (2016)","journal-title":"Trends Cogn. Sci."},{"issue":"3","key":"56_CR6","doi-asserted-by":"publisher","first-page":"586","DOI":"10.1016\/j.neuron.2012.12.028","volume":"77","author":"S Mueller","year":"2013","unstructured":"Mueller, S., Wang, D., Fox, M.D.: Individual variability in functional connectivity architecture of the human brain. Neuron 77(3), 586\u2013595 (2013)","journal-title":"Neuron"},{"issue":"3","key":"56_CR7","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1016\/j.neuron.2015.06.037","volume":"87","author":"TO Laumann","year":"2015","unstructured":"Laumann, T.O., Gordon, E.M., Adeyemo, B.: Functional system and areal organization of a highly sampled individual human brain. Neuron 87(3), 657\u2013670 (2015)","journal-title":"Neuron"},{"key":"56_CR8","unstructured":"Gordon, E.M., Laumann, T.O., Adeyemo, B.: Individual variability of the system-level organization of the human brain. Cereb. Cortex 27(1), 386\u2013399 (2017)"},{"issue":"11","key":"56_CR9","doi-asserted-by":"publisher","first-page":"1664","DOI":"10.1038\/nn.4135","volume":"18","author":"ES Finn","year":"2015","unstructured":"Finn, E.S., Shen, X., Scheinost, D.: Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat. Neurosci. 18(11), 1664\u20131671 (2015)","journal-title":"Nat. Neurosci."},{"issue":"6282","key":"56_CR10","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1126\/science.aad8127","volume":"352","author":"I Tavor","year":"2016","unstructured":"Tavor, I., Jones, O.P., Mars, R.B.: Task-free MRI predicts individual differences in brain activity during task performance. Science 352(6282), 216\u2013220 (2016)","journal-title":"Science"},{"key":"56_CR11","doi-asserted-by":"crossref","unstructured":"Glasser, M.F., Sotiropoulos, S.N., Wilson, J.A.: The minimal preprocessing pipelines for the human connectome project. NeuroImage 80, 105\u2013124 (2013)","DOI":"10.1016\/j.neuroimage.2013.04.127"},{"issue":"20","key":"56_CR12","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neuroimage.2013.05.039","volume":"80","author":"SM Smith","year":"2013","unstructured":"Smith, S.M., Andersson, J., Auerbach, E.J.: Resting-state fMRI in the human connectome project. Neuroimage 80(20), 144\u2013168 (2013)","journal-title":"Neuroimage"},{"issue":"8","key":"56_CR13","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","volume":"80","author":"DC Van Essen","year":"2013","unstructured":"Van Essen, D.C., Smith, S.M., Barch, D.M.: The WU-Minn human connectome project: an overview. Neuroimage 80(8), 62\u201379 (2013)","journal-title":"Neuroimage"},{"issue":"8","key":"56_CR14","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/j.neuroimage.2013.05.033","volume":"80","author":"DM Barch","year":"2013","unstructured":"Barch, D.M., Burgess, G.C., Harms, M.P.: Function in the human connectome: task-fMRI and individual differences in behavior. Neuroimage 80(8), 169\u2013189 (2013)","journal-title":"Neuroimage"},{"issue":"4","key":"56_CR15","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.cviu.2013.11.009","volume":"122","author":"T Bouwmans","year":"2014","unstructured":"Bouwmans, T., Zahzah, E.H.: Robust PCA via principal component pursuit: a review for a comparative evaluation in video surveillance. Comput. Vis. Image Underst. 122(4), 22\u201334 (2014)","journal-title":"Comput. Vis. Image Underst."},{"issue":"3","key":"56_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1970392.1970395","volume":"58","author":"S Cand","year":"2009","unstructured":"Cand, S., Emmanuel, J., Li, X.: Robust principal component analysis? J. ACM 58(3), 1\u201373 (2009)","journal-title":"J. ACM"},{"issue":"1","key":"56_CR17","first-page":"19","volume":"11","author":"J Mairal","year":"2010","unstructured":"Mairal, J., Bach, F., Ponce, J.: Online learning for matrix factorization and sparse coding. J. Mach. Learn. Res. 11(1), 19\u201360 (2010)","journal-title":"J. Mach. Learn. Res."},{"key":"56_CR18","unstructured":"Gunn, S.R.: Support vector machines for classification and regression. ISIS Technical Report. 14 p. (1998)"},{"issue":"6","key":"56_CR19","doi-asserted-by":"publisher","first-page":"1031","DOI":"10.1109\/JPROC.2010.2044470","volume":"98","author":"J Wright","year":"2010","unstructured":"Wright, J., Ma, Y., Mairal, J.: Sparse representation for computer vision and pattern recognition. Proc. IEEE 98(6), 1031\u20131044 (2010)","journal-title":"Proc. IEEE"},{"issue":"1","key":"56_CR20","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/s11760-013-0429-2","volume":"9","author":"V Abolghasemi","year":"2015","unstructured":"Abolghasemi, V., Ferdowsi, S., Sanei, S.: Fast and incoherent dictionary learning algorithms with application to fMRI. Sig., Image Video Process. 9(1), 147\u2013158 (2015)","journal-title":"Sig., Image Video Process."},{"issue":"5997","key":"56_CR21","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1126\/science.1194144","volume":"329","author":"Nico U. F. Dosenbach","year":"2010","unstructured":"Dosenbach, N.U., Nardos, B., Cohen, A.L.: Prediction of individual brain maturity using fMRI. Science 329(5997), 1358\u20131361 (2010)","journal-title":"Science"}],"container-title":["Lecture Notes in Computer Science","Intelligence Science and Big Data Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-02698-1_56","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T11:04:44Z","timestamp":1710241484000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-02698-1_56"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030026974","9783030026981"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-02698-1_56","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":"9 November 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IScIDE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Science and Big Data Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lanzhou","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iscide2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iscide.lzu.edu.cn\/","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 (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"121","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"59","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"49% - 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 (provided by the conference organizers)"}},{"value":"2.7","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4.9","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}