{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T05:49:29Z","timestamp":1743140969900,"version":"3.40.3"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031611391"},{"type":"electronic","value":"9783031611407"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-61140-7_5","type":"book-chapter","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T07:10:33Z","timestamp":1717053033000},"page":"45-54","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Explainable Exploration of\u00a0the\u00a0Interplay Between HRV Features and\u00a0EEG Local Connectivity Patterns in\u00a0Dyslexia"],"prefix":"10.1007","author":[{"given":"Marco A.","family":"Formoso","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicol\u00e1s J.","family":"Gallego-Molina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ignacio","family":"Rodr\u00edguez-Rodr\u00edguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Almudena","family":"Gim\u00e9nez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,31]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.neucom.2020.05.078","volume":"410","author":"JM G\u00f3rriz","year":"2020","unstructured":"G\u00f3rriz, J.M., et al.: Artificial intelligence within the interplay between natural and artificial computation: advances in data science, trends and applications. Neurocomputing 410, 237\u2013270 (2020). https:\/\/doi.org\/10.1016\/j.neucom.2020.05.078","journal-title":"Neurocomputing"},{"key":"5_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.101945","volume":"100","author":"J G\u00f3rriz","year":"2023","unstructured":"G\u00f3rriz, J., et al.: Computational approaches to explainable artificial intelligence: advances in theory, applications and trends. Inf. Fusion 100, 101945 (2023). https:\/\/doi.org\/10.1016\/j.inffus.2023.101945","journal-title":"Inf. Fusion"},{"issue":"2","key":"5_CR3","first-page":"1","volume":"2","author":"M Teplan","year":"2002","unstructured":"Teplan, M., et al.: Fundamentals of EEG measurement. Measure. Sci. Rev. 2(2), 1\u201311 (2002)","journal-title":"Measure. Sci. Rev."},{"key":"5_CR4","doi-asserted-by":"publisher","first-page":"573","DOI":"10.3389\/fnins.2019.00573","volume":"13","author":"MJ H\u00fclsemann","year":"2019","unstructured":"H\u00fclsemann, M.J., Naumann, E., Rasch, B.: Quantification of phase-amplitude coupling in neuronal oscillations: comparison of phase-locking value, mean vector length, modulation index, and generalized-linear-modeling-cross-frequency-coupling. Front. Neurosci. 13, 573 (2019)","journal-title":"Front. Neurosci."},{"issue":"3","key":"5_CR5","doi-asserted-by":"publisher","first-page":"1674","DOI":"10.1044\/2020_AJSLP-19-00050","volume":"29","author":"LK Butler","year":"2020","unstructured":"Butler, L.K., Kiran, S., Tager-Flusberg, H.: Functional near-infrared spectroscopy in the study of speech and language impairment across the life span: a systematic review. Am. J. Speech Lang. Pathol. 29(3), 1674\u20131701 (2020)","journal-title":"Am. J. Speech Lang. Pathol."},{"issue":"6","key":"5_CR6","doi-asserted-by":"publisher","first-page":"436","DOI":"10.7326\/0003-4819-118-6-199303150-00008","volume":"118","author":"CM van Ravenswaaij-Arts","year":"1993","unstructured":"van Ravenswaaij-Arts, C.M., Kollee, L.A., Hopman, J.C., Stoelinga, G.B., van Geijn, H.P.: Heart rate variability. Ann. Intern. Med. 118(6), 436\u2013447 (1993)","journal-title":"Ann. Intern. Med."},{"issue":"3","key":"5_CR7","doi-asserted-by":"publisher","first-page":"235","DOI":"10.30773\/pi.2017.08.17","volume":"15","author":"H-G Kim","year":"2018","unstructured":"Kim, H.-G., Cheon, E.-J., Bai, D.-S., Lee, Y.H., Koo, B.-H.: Stress and heart rate variability: a meta-analysis and review of the literature. Psychiatry Investig. 15(3), 235 (2018)","journal-title":"Psychiatry Investig."},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s00420-010-0537-z","volume":"84","author":"E Clays","year":"2011","unstructured":"Clays, E., et al.: The perception of work stressors is related to reduced parasympathetic activity. Int. Arch. Occup. Environ. Health 84, 185\u2013191 (2011)","journal-title":"Int. Arch. Occup. Environ. Health"},{"issue":"21","key":"5_CR9","doi-asserted-by":"publisher","first-page":"7061","DOI":"10.3390\/s21217061","volume":"21","author":"MA Formoso","year":"2021","unstructured":"Formoso, M.A., Ortiz, A., Martinez-Murcia, F.J., Gallego, N., Luque, J.L.: Detecting phase-synchrony connectivity anomalies in EEG signals. Application to dyslexia diagnosis. Sensors 21(21), 7061 (2021)","journal-title":"Sensors"},{"key":"5_CR10","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"655","DOI":"10.1007\/978-3-030-61705-9_54","volume-title":"Hybrid Artificial Intelligent Systems","author":"A Ortiz","year":"2020","unstructured":"Ortiz, A., Mart\u00ednez-Murcia, F.J., Formoso, M.A., Luque, J.L., S\u00e1nchez, A.: Dyslexia detection from EEG signals using SSA component correlation and\u00a0convolutional neural networks. In: de la Cal, E.A., Villar Flecha, J.R., Quinti\u00e1n, H., Corchado, E. (eds.) HAIS 2020. LNCS (LNAI), vol. 12344, pp. 655\u2013664. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-61705-9_54"},{"key":"5_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122934","volume":"243","author":"JE Arco","year":"2024","unstructured":"Arco, J.E., Gallego-Molina, N.J., Ortiz, A., Arroyo-Alvis, K., L\u00f3pez-P\u00e9rez, P.J.: Identifying HRV patterns in ECG signals as early markers of dementia. Expert Syst. Appl. 243, 122934 (2024)","journal-title":"Expert Syst. Appl."},{"key":"5_CR12","doi-asserted-by":"crossref","unstructured":"Shapley, L.S., et\u00a0al.: A value for n-person games (1953)","DOI":"10.1515\/9781400881970-018"},{"key":"5_CR13","doi-asserted-by":"publisher","first-page":"e20515","DOI":"10.7554\/eLife.20515","volume":"5","author":"R Scheffer-Teixeira","year":"2016","unstructured":"Scheffer-Teixeira, R., Tort, A.B.: On cross-frequency phase-phase coupling between theta and gamma oscillations in the hippocampus. eLife 5, e20515 (2016)","journal-title":"eLife"},{"key":"5_CR14","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9609.001.0001","volume-title":"Analyzing Neural Time Series Data: Theory and Practice","author":"MX Cohen","year":"2014","unstructured":"Cohen, M.X.: Analyzing Neural Time Series Data: Theory and Practice. MIT Press, Cambridge (2014)"},{"issue":"1","key":"5_CR15","doi-asserted-by":"publisher","first-page":"12779","DOI":"10.1038\/s41598-018-31211-0","volume":"8","author":"L Kimppa","year":"2018","unstructured":"Kimppa, L., Shtyrov, Y., Partanen, E., Kujala, T.: Impaired neural mechanism for online novel word acquisition in dyslexic children. Sci. Rep. 8(1), 12779 (2018). https:\/\/doi.org\/10.1038\/s41598-018-31211-0","journal-title":"Sci. Rep."},{"key":"5_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.116799","volume":"216","author":"A Thiede","year":"2020","unstructured":"Thiede, A., Glerean, E., Kujala, T., Parkkonen, L.: Atypical meg inter-subject correlation during listening to continuous natural speech in dyslexia. Neuroimage 216, 116799 (2020). https:\/\/doi.org\/10.1016\/j.neuroimage.2020.116799","journal-title":"Neuroimage"},{"key":"5_CR17","doi-asserted-by":"publisher","unstructured":"Attaheri, et\u00a0al.: Infant low-frequency EEG cortical power, cortical tracking and phase-amplitude coupling predicts language a year later (2022). https:\/\/doi.org\/10.1101\/2022.11.02.514963.","DOI":"10.1101\/2022.11.02.514963."},{"key":"5_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/978-3-030-85099-9_4","volume-title":"Advances in Computational Intelligence","author":"NJ Gallego-Molina","year":"2021","unstructured":"Gallego-Molina, N.J., Formoso, M., Ortiz, A., Mart\u00ednez-Murcia, F.J., Luque, J.L.: Temporal EigenPAC for dyslexia diagnosis. In: Rojas, I., Joya, G., Catal\u00e0, A. (eds.) IWANN 2021. LNCS, vol. 12862, pp. 45\u201356. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-85099-9_4"},{"key":"5_CR19","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.neuroimage.2018.09.025","volume":"184","author":"FA Fishburn","year":"2019","unstructured":"Fishburn, F.A., Ludlum, R.S., Vaidya, C.J., Medvedev, A.V.: Temporal derivative distribution repair (TDDR): a motion correction method for fNIRS. Neuroimage 184, 171\u2013179 (2019)","journal-title":"Neuroimage"},{"key":"5_CR20","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2001","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Statist. 29, 1189\u20131232 (2001)","journal-title":"Ann. Statist."},{"key":"5_CR21","doi-asserted-by":"crossref","unstructured":"Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785\u2013794 (2016)","DOI":"10.1145\/2939672.2939785"},{"key":"5_CR22","unstructured":"Lundberg, S.M., Lee, S.-I.: A unified approach to interpreting model predictions. In: Advances in Neural Information Processing Systems, vol. 30, pp. 4765\u20134774. Curran Associates, Inc. (2017)"},{"key":"5_CR23","unstructured":"Brodmann, K.: Vergleichende Lokalisationslehre der Grosshirnrinde in ihren Prinzipien dargestellt auf Grund des Zellenbaues, Barth (1909)"},{"issue":"1","key":"5_CR24","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1093\/arclin\/acv081","volume":"31","author":"A Ardila","year":"2016","unstructured":"Ardila, A., Bernal, B., Rosselli, M.: How localized are language brain areas? A review of Brodmann areas involvement in oral language. Arch. Clin. Neuropsychol. 31(1), 112\u2013122 (2016)","journal-title":"Arch. Clin. Neuropsychol."},{"issue":"2","key":"5_CR25","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1523\/JNEUROSCI.4324-04.2005","volume":"25","author":"S Tanaka","year":"2005","unstructured":"Tanaka, S., Honda, M., Sadato, N.: Modality-specific cognitive function of medial and lateral human Brodmann area 6. J. Neurosci. 25(2), 496\u2013501 (2005)","journal-title":"J. Neurosci."}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence for Neuroscience and Emotional Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-61140-7_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T07:24:29Z","timestamp":1717053869000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-61140-7_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031611391","9783031611407"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-61140-7_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"31 May 2024","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":"Olh\u00e2o","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwinac2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwinac.eu\/iwinac.org\/iwinac2024\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}