{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T22:41:20Z","timestamp":1759358480200,"version":"build-2065373602"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030598600"},{"type":"electronic","value":"9783030598617"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59861-7_26","type":"book-chapter","created":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T03:07:37Z","timestamp":1601608057000},"page":"250-259","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks"],"prefix":"10.1007","author":[{"given":"Mingxin","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Shimin","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Jiadong","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Shu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Huan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Lin","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Haixing","family":"Dai","sequence":"additional","affiliation":[]},{"given":"Jinglei","family":"Lv","sequence":"additional","affiliation":[]},{"given":"Tuo","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Tianming","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Keith M.","family":"Kendrick","sequence":"additional","affiliation":[]},{"given":"Xi","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,29]]},"reference":[{"issue":"4862","key":"26_CR1","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1126\/science.3291116","volume":"241","author":"P Rakic","year":"1988","unstructured":"Rakic, P.: Specification of cerebral cortical areas. Science 241(4862), 170\u2013176 (1988)","journal-title":"Science"},{"issue":"6614","key":"26_CR2","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1038\/385313a0","volume":"385","author":"DC Van Essen","year":"1997","unstructured":"Van Essen, D.C.: A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature 385(6614), 313\u2013318 (1997)","journal-title":"Nature"},{"issue":"5\u20136","key":"26_CR3","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1007\/s00429-005-0041-5","volume":"210","author":"CC Hilgetag","year":"2005","unstructured":"Hilgetag, C.C., Barbas, H.: Developmental mechanics of the primate cerebral cortex. Anat. Embryol. 210(5\u20136), 411\u2013417 (2005)","journal-title":"Anat. Embryol."},{"issue":"3","key":"26_CR4","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1016\/j.cell.2013.03.027","volume":"153","author":"R Stahl","year":"2013","unstructured":"Stahl, R., et al.: Trnp1 regulates expansion and folding of the mammalian cerebral cortex by control of radial glial fate. Cell 153(3), 535\u2013549 (2013)","journal-title":"Cell"},{"issue":"12","key":"26_CR5","doi-asserted-by":"publisher","first-page":"2831","DOI":"10.1093\/cercor\/bhr361","volume":"22","author":"JX Nie","year":"2012","unstructured":"Nie, J.X., et al.: Axonal fiber terminations concentrate on gyri. Cereb. Cortex 22(12), 2831\u20132839 (2012)","journal-title":"Cereb. Cortex"},{"issue":"8","key":"26_CR6","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1038\/nrn893","volume":"3","author":"RE Passingham","year":"2002","unstructured":"Passingham, R.E., Stephan, K.E., Kotter, R.: The anatomical basis of functional localization in the cortex. Nat. Rev. Neurosci. 3(8), 606\u2013616 (2002)","journal-title":"Nat. Rev. Neurosci."},{"issue":"4","key":"26_CR7","doi-asserted-by":"publisher","first-page":"1473","DOI":"10.1007\/s00429-013-0581-z","volume":"219","author":"F Deng","year":"2013","unstructured":"Deng, F., et al.: A functional model of cortical gyri and sulci. Brain Struct. Funct. 219(4), 1473\u20131491 (2013). https:\/\/doi.org\/10.1007\/s00429-013-0581-z","journal-title":"Brain Struct. Funct."},{"issue":"12","key":"26_CR8","doi-asserted-by":"publisher","first-page":"5301","DOI":"10.1002\/hbm.23013","volume":"36","author":"X Jiang","year":"2015","unstructured":"Jiang, X., et al.: Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex. Hum. Brain Mapp. 36(12), 5301\u20135319 (2015)","journal-title":"Hum. Brain Mapp."},{"issue":"6","key":"26_CR9","doi-asserted-by":"publisher","first-page":"1183","DOI":"10.1109\/TBME.2016.2598728","volume":"65","author":"X Jiang","year":"2018","unstructured":"Jiang, X., et al.: Temporal dynamics assessment of spatial overlap pattern of functional brain networks reveals novel functional architecture of cerebral cortex. IEEE Trans. Biomed. Eng. 65(6), 1183\u20131192 (2018)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"26_CR10","doi-asserted-by":"publisher","first-page":"575","DOI":"10.3389\/fnins.2018.00575","volume":"12","author":"X Jiang","year":"2018","unstructured":"Jiang, X., Zhao, L., Liu, H., Guo, L., Kendrick, K.M., Liu, T.M.: A cortical folding pattern-guided model of intrinsic functional brain networks in emotion processing. Front. Neurosci. 12, 575 (2018)","journal-title":"Front. Neurosci."},{"issue":"36","key":"26_CR11","first-page":"1","volume":"13","author":"SM Yang","year":"2019","unstructured":"Yang, S.M., et al.: Temporal variability of cortical gyral-sulcal resting-state functional activity correlates with fluid intelligence. Front. Neural Circ. 13(36), 1\u201312 (2019)","journal-title":"Front. Neural Circ."},{"issue":"10","key":"26_CR12","doi-asserted-by":"publisher","first-page":"4238","DOI":"10.1093\/cercor\/bhy305","volume":"29","author":"H Liu","year":"2018","unstructured":"Liu, H., et al.: The cerebral cortex is bisectionally segregated into two fundamentally different functional units of gyri and sulci. Cereb. Cortex 29(10), 4238\u20134252 (2018)","journal-title":"Cereb. Cortex"},{"issue":"5","key":"26_CR13","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1109\/TBME.2018.2872726","volume":"66","author":"S Zhang","year":"2019","unstructured":"Zhang, S., et al.: Deep learning models unveiled functional difference between cortical gyri and sulci. IEEE Trans. Biomed. Eng. 66(5), 1297\u20131308 (2019)","journal-title":"IEEE Trans. Biomed. Eng."},{"doi-asserted-by":"crossref","unstructured":"Ge, F.F., et al.: Exploring intrinsic functional difference of gyri, sulci and 2-hinge, 3-hinge joints on cerebral cortex. In: IEEE 16th International Symposium on Biomedical Imaging\u00a02019, pp.\u00a01585\u20131589 (2019)","key":"26_CR14","DOI":"10.1109\/ISBI.2019.8759395"},{"issue":"3","key":"26_CR15","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","volume":"31","author":"RS Desikan","year":"2006","unstructured":"Desikan, R.S., et al.: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage 31(3), 968\u2013980 (2006)","journal-title":"NeuroImage"},{"issue":"7","key":"26_CR16","doi-asserted-by":"publisher","first-page":"1551","DOI":"10.1109\/TMI.2017.2715285","volume":"37","author":"H Huang","year":"2018","unstructured":"Huang, H., et al.: Modeling task fMRI data via deep convolutional autoencoder. IEEE Trans. Med. Imaging 37(7), 1551\u20131561 (2018)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1","key":"26_CR17","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1089\/brain.2013.0210","volume":"5","author":"SR Gohel","year":"2015","unstructured":"Gohel, S.R., Biswal, B.B.: Functional integration between brain regions at rest occurs in multiple-frequency bands. Brain Connect 5(1), 23\u201334 (2015)","journal-title":"Brain Connect"},{"key":"26_CR18","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., Behrens, T.E.J., Yacoub, E., Ugurbil, K.: The WU-Minn human connectome project: an overview. Neuroimage 80, 62\u201379 (2013)","journal-title":"Neuroimage"},{"key":"26_CR19","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., et al.: Resting-state fMRI in the human connectome project. Neuroimage 80, 144\u2013168 (2013)","journal-title":"Neuroimage"},{"issue":"43","key":"26_CR20","doi-asserted-by":"publisher","first-page":"E6679","DOI":"10.1073\/pnas.1608117113","volume":"113","author":"LD Lewis","year":"2016","unstructured":"Lewis, L.D., Setsompop, K., Rosen, B.R., Polimeni, J.R.: Fast fMRI can detect oscillatory neural activity in humans. Proc. Natl. Acad. Sci. 113(43), E6679\u2013E6685 (2016)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"3","key":"26_CR21","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1016\/j.neuron.2013.10.002","volume":"80","author":"G Buzs\u00e1ki","year":"2013","unstructured":"Buzs\u00e1ki, G., Logothetis, N., Singer, W.: Scaling brain size, keeping timing: evolutionary preservation of brain rhythms. Neuron 80(3), 751\u2013764 (2013)","journal-title":"Neuron"}],"container-title":["Lecture Notes in Computer Science","Machine Learning in Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-59861-7_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T22:06:29Z","timestamp":1759356389000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59861-7_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030598600","9783030598617"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59861-7_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"29 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MLMI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Machine Learning in Medical Imaging","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lima","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Peru","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 October 2020","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":"mlmi-med2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/mlmi2020.web.unc.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"101","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":"68","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":"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 (provided by the conference organizers)"}},{"value":"2.04","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":"3.43","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)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}