{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:10:26Z","timestamp":1743095426911,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031065262"},{"type":"electronic","value":"9783031065279"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1007\/978-3-031-06527-9_21","type":"book-chapter","created":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T23:03:26Z","timestamp":1653347006000},"page":"213-222","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of\u00a0Functional Connectome Pipelines for\u00a0the\u00a0Diagnosis of\u00a0Autism Spectrum Disorders"],"prefix":"10.1007","author":[{"given":"Clara","family":"Jim\u00e9nez-Valverde","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4693-0954","authenticated-orcid":false,"given":"Rosa Mar\u00eda","family":"Maza-Quiroga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0172-1585","authenticated-orcid":false,"given":"Domingo","family":"L\u00f3pez-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6519-1213","authenticated-orcid":false,"given":"Karl","family":"Thurnhofer-Hemsi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8231-5687","authenticated-orcid":false,"given":"Ezequiel","family":"L\u00f3pez-Rubio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5536-1805","authenticated-orcid":false,"given":"Rafael Marcos","family":"Luque-Baena","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,24]]},"reference":[{"key":"21_CR1","unstructured":"Bellec, P., et al.: A neuroimaging analyses kit for Matlab and octave. In: Human Brain Mapping HBM 2011 17th Annual Meeting of the Organization on Human Brain Mapping, Quebec City, Canada, 26\u201330 June 2011, pp. 1\u20135. Organization on Human Brain Mapping (2011)"},{"key":"21_CR2","unstructured":"BIAC resting state pipeline software [Brain Imaging & Analysis Center]. https:\/\/wiki.biac.duke.edu\/biac:analysis:resting_pipeline"},{"issue":"5","key":"21_CR3","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1007\/s10803-014-2268-6","volume":"45","author":"D Bone","year":"2015","unstructured":"Bone, D., et al.: Applying machine learning to facilitate autism diagnostics: pitfalls and promises. J. Autism Dev. Disord. 45(5), 1121\u20131136 (2015)","journal-title":"J. Autism Dev. Disord."},{"key":"21_CR4","doi-asserted-by":"crossref","unstructured":"Craddock, C.A., et al.: The neuro bureau preprocessing initiative: open sharing of preprocessed neuroimaging data and derivatives. Front. Neuroinformat. 7 (2013)","DOI":"10.3389\/conf.fninf.2013.09.00041"},{"key":"21_CR5","first-page":"10","volume":"42","author":"C Craddock","year":"2013","unstructured":"Craddock, C., et al.: Towards automated analysis of connectomes: the configurable pipeline for the analysis of connectomes (C-PAC). Front. Neuroinform. 42, 10\u20133389 (2013)","journal-title":"Front. Neuroinform."},{"issue":"6","key":"21_CR6","doi-asserted-by":"publisher","first-page":"659","DOI":"10.1038\/mp.2013.78","volume":"19","author":"D Martino","year":"2014","unstructured":"Martino, D., et al.: The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol. Psychiatry 19(6), 659\u2013667 (2014)","journal-title":"Mol. Psychiatry"},{"key":"21_CR7","doi-asserted-by":"crossref","unstructured":"Heinsfeld, A., et al.: Identification of autism spectrum disorder using deep learning and the abide dataset. NeuroImage: Clinical 17, 16\u201323 (2018)","DOI":"10.1016\/j.nicl.2017.08.017"},{"issue":"1","key":"21_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41467-018-07882-8","volume":"10","author":"SJ Hong","year":"2019","unstructured":"Hong, S.J., et al.: Atypical functional connectome hierarchy in autism. Nat. Commun. 10(1), 1\u201313 (2019)","journal-title":"Nat. Commun."},{"key":"21_CR9","doi-asserted-by":"crossref","unstructured":"Lockwood Estrin, G., et al.: Barriers to autism spectrum disorder diagnosis for young women and girls: a systematic review. Rev. J. Autism Dev. Disorders (2020)","DOI":"10.1007\/s40489-020-00225-8"},{"issue":"4","key":"21_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.15585\/mmwr.ss6904a1","volume":"69","author":"MJ Maenner","year":"2020","unstructured":"Maenner, M.J., et al.: Prevalence of autism spectrum disorder among children aged 8 Years-Autism and developmental disabilities monitoring network, 11 Sites, United States, 2016. MMWR Surveill. Summ. 69(4), 1\u201312 (2020)","journal-title":"MMWR Surveill. Summ."},{"issue":"2","key":"21_CR11","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1006\/nimg.1995.1012","volume":"2","author":"JC Mazziotta","year":"1995","unstructured":"Mazziotta, J.C., et al.: A probabilistic atlas of the human brain: theory and rationale for its development. Neuroimage 2(2), 89\u2013101 (1995)","journal-title":"Neuroimage"},{"key":"21_CR12","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"4","key":"21_CR13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.0010042","volume":"1","author":"O Sporns","year":"2005","unstructured":"Sporns, O., et al.: The human connectome: a structural description of the human brain. PLoS Comput. Biol. 1(4), e42 (2005)","journal-title":"PLoS Comput. Biol."},{"issue":"1","key":"21_CR14","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1006\/nimg.2001.0978","volume":"15","author":"N Tzourio-Mazoyer","year":"2002","unstructured":"Tzourio-Mazoyer, N., et al.: Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15(1), 273\u2013289 (2002)","journal-title":"Neuroimage"},{"issue":"1","key":"21_CR15","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1007\/s11434-014-0698-3","volume":"60","author":"T Xu","year":"2015","unstructured":"Xu, T., et al.: A connectome computation system for discovery science of brain. Sci. Bull. 60(1), 86\u201395 (2015)","journal-title":"Sci. Bull."},{"key":"21_CR16","first-page":"13","volume":"4","author":"C Yan","year":"2010","unstructured":"Yan, C., Zang, Y.: Dparsf: a matlab toolbox for \u201cpipeline\u2019\u2019 data analysis of resting-state fmri. Front. Syst. Neurosci. 4, 13 (2010)","journal-title":"Front. Syst. Neurosci."}],"container-title":["Lecture Notes in Computer Science","Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-06527-9_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,5]],"date-time":"2022-07-05T07:05:11Z","timestamp":1657004711000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-06527-9_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031065262","9783031065279"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-06527-9_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"24 May 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWINAC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on the Interplay Between Natural and Artificial Computation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Puerto de la Cruz, Tenerife","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 May 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwinac2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwinac.org\/iwinac2022\/index.html","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":"ConfMaster","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"203","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":"121","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":"60% - 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":"2.5","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","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)"}}]}}