{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T21:49:05Z","timestamp":1743112145468,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031717031"},{"type":"electronic","value":"9783031717048"}],"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\/978-3-031-71704-8_14","type":"book-chapter","created":{"date-parts":[[2024,9,18]],"date-time":"2024-09-18T13:25:02Z","timestamp":1726665902000},"page":"178-196","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Brain Visualizer: A\u00a0Tool for\u00a0EEG Data Processing and\u00a03D Brain Activity Visualization"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9510-5758","authenticated-orcid":false,"given":"Emanuele","family":"Balloni","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9160-834X","authenticated-orcid":false,"given":"Roberto","family":"Pierdicca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5523-7174","authenticated-orcid":false,"given":"Marina","family":"Paolanti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6533-7427","authenticated-orcid":false,"given":"Emiliano","family":"Santarnecchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,18]]},"reference":[{"key":"14_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2011\/158970","volume":"2011","author":"PE Aguera","year":"2011","unstructured":"Aguera, P.E., Jerbi, K., Caclin, A., Bertrand, O.: Elan: a software package for analysis and visualization of MEG, EEG, and LFP signals. Comput. Intell. Neurosci. 2011, 1\u201311 (2011)","journal-title":"Comput. Intell. Neurosci."},{"issue":"5","key":"14_CR2","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1016\/S1388-2457(01)00494-1","volume":"112","author":"F Babiloni","year":"2001","unstructured":"Babiloni, F., Cincotti, F., Carducci, F., Rossini, P.M., Babiloni, C.: Spatial enhancement of EEG data by surface Laplacian estimation: the use of magnetic resonance imaging-based head models. Clin. Neurophysiol. 112(5), 724\u2013727 (2001)","journal-title":"Clin. Neurophysiol."},{"issue":"3","key":"14_CR3","doi-asserted-by":"crossref","first-page":"R80","DOI":"10.1016\/j.cub.2018.11.052","volume":"29","author":"A Biasiucci","year":"2019","unstructured":"Biasiucci, A., Franceschiello, B., Murray, M.M.: Electroencephalography. Curr. Biol. 29(3), R80\u2013R85 (2019)","journal-title":"Curr. Biol."},{"key":"14_CR4","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.compbiomed.2014.05.006","volume":"51","author":"G Blinowski","year":"2014","unstructured":"Blinowski, G., Kami\u0144ski, M., Wawer, D.: Trans3D: a free tool for dynamical visualization of EEG activity transmission in the brain. Comput. Biol. Med. 51, 214\u2013222 (2014)","journal-title":"Comput. Biol. Med."},{"issue":"3","key":"14_CR5","doi-asserted-by":"crossref","first-page":"372","DOI":"10.3390\/bioengineering10030372","volume":"10","author":"G Chiarion","year":"2023","unstructured":"Chiarion, G., Sparacino, L., Antonacci, Y., Faes, L., Mesin, L.: Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends. Bioengineering 10(3), 372 (2023)","journal-title":"Bioengineering"},{"key":"14_CR6","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1007\/978-3-030-00087-5_59","volume-title":"Magnetoencephalography","author":"L Esch","year":"2019","unstructured":"Esch, L., et al.: MNE: software for acquiring, processing, and visualizing MEG\/EEG Data. In: Supek, S., Aine, C.J. (eds.) Magnetoencephalography, pp. 355\u2013371. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-00087-5_59"},{"key":"14_CR7","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.jneumeth.2018.03.020","volume":"303","author":"L Esch","year":"2018","unstructured":"Esch, L., et al.: MNE scan: software for real-time processing of electrophysiological data. J. Neurosci. Methods 303, 55\u201367 (2018)","journal-title":"J. Neurosci. Methods"},{"key":"14_CR8","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/978-3-030-49100-0_8","volume-title":"Digital Surgery","author":"J Fletcher","year":"2021","unstructured":"Fletcher, J., Miskovic, D.: Digital and 3D printed models for surgical planning. In: Atallah, S. (ed.) Digital Surgery, pp. 95\u2013110. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-49100-0_8"},{"key":"14_CR9","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1007\/s12021-020-09479-3","volume":"19","author":"R Guarnieri","year":"2021","unstructured":"Guarnieri, R., Zhao, M., Taberna, G.A., Ganzetti, M., Swinnen, S.P., Mantini, D.: RT-NET: real-time reconstruction of neural activity using high-density electroencephalography. Neuroinformatics 19, 251\u2013266 (2021)","journal-title":"Neuroinformatics"},{"issue":"9","key":"14_CR10","volume":"10","author":"M Hassan","year":"2015","unstructured":"Hassan, M., Shamas, M., Khalil, M., El Falou, W., Wendling, F.: EEGNET: an open source tool for analyzing and visualizing M\/EEG connectome. PLoS ONE 10(9), e0138297 (2015)","journal-title":"PLoS ONE"},{"key":"14_CR11","doi-asserted-by":"crossref","first-page":"710","DOI":"10.3389\/fnins.2020.00710","volume":"14","author":"LB Hinkley","year":"2020","unstructured":"Hinkley, L.B., et al.: Nutmeg: open source software for M\/EEG source reconstruction. Front. Neurosci. 14, 710 (2020)","journal-title":"Front. Neurosci."},{"issue":"17","key":"14_CR12","doi-asserted-by":"crossref","first-page":"2101394","DOI":"10.1002\/advs.202101394","volume":"8","author":"Z Jin","year":"2021","unstructured":"Jin, Z., et al.: 3D printing of physical organ models: recent developments and challenges. Adv. Sci. 8(17), 2101394 (2021)","journal-title":"Adv. Sci."},{"key":"14_CR13","doi-asserted-by":"crossref","unstructured":"JohnsonChris, R., et\u00a0al.: A review of three-dimensional medical image visualization. Health Data Sci. (2022)","DOI":"10.34133\/2022\/9840519"},{"issue":"1","key":"14_CR14","doi-asserted-by":"crossref","first-page":"2936","DOI":"10.1038\/s41598-017-03420-6","volume":"7","author":"A Kabbara","year":"2017","unstructured":"Kabbara, A., El Falou, W., Khalil, M., Wendling, F., Hassan, M.: The dynamic functional core network of the human brain at rest. Sci. Rep. 7(1), 2936 (2017)","journal-title":"Sci. Rep."},{"key":"14_CR15","doi-asserted-by":"crossref","unstructured":"Kraft, V., et al.: Towards realistic organ models for 3D printing and visualization. In: Current Directions in Biomedical Engineering, vol.\u00a07, pp. 166\u2013170. De Gruyter (2021)","DOI":"10.1515\/cdbme-2021-1036"},{"key":"14_CR16","doi-asserted-by":"crossref","unstructured":"Ma, L., Yu, S., Xu, X., Amadi, S.M., Zhang, J., Wang, Z.: Application of artificial intelligence in 3D printing physical organ models. Mater. Today Bio, 100792 (2023)","DOI":"10.1016\/j.mtbio.2023.100792"},{"key":"14_CR17","doi-asserted-by":"crossref","first-page":"4","DOI":"10.3389\/fninf.2011.00004","volume":"5","author":"DS Marcus","year":"2011","unstructured":"Marcus, D.S., et al.: Informatics and data mining tools and strategies for the human connectome project. Front. Neuroinform. 5, 4 (2011)","journal-title":"Front. Neuroinform."},{"key":"14_CR18","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2019.00325","volume":"10","author":"CM Michel","year":"2019","unstructured":"Michel, C.M., Brunet, D.: EEG source imaging: a practical review of the analysis steps. Front. Neurol. 10, 446653 (2019)","journal-title":"Front. Neurol."},{"key":"14_CR19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2011\/156869","volume":"2011","author":"R Oostenveld","year":"2011","unstructured":"Oostenveld, R., Fries, P., Maris, E., Schoffelen, J.M.: Fieldtrip: open source software for advanced analysis of meg, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011, 1\u20139 (2011)","journal-title":"Comput. Intell. Neurosci."},{"issue":"Suppl D","key":"14_CR20","first-page":"5","volume":"24","author":"RD Pascual-Marqui","year":"2002","unstructured":"Pascual-Marqui, R.D., et al.: Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find. Exp. Clin. Pharmacol. 24(Suppl D), 5\u201312 (2002)","journal-title":"Methods Find. Exp. Clin. Pharmacol."},{"issue":"1","key":"14_CR21","first-page":"75","volume":"115","author":"GM Paul","year":"2018","unstructured":"Paul, G.M., et al.: Medical applications for 3D printing: recent developments. Mo. Med. 115(1), 75 (2018)","journal-title":"Mo. Med."},{"issue":"3","key":"14_CR22","doi-asserted-by":"crossref","first-page":"877","DOI":"10.3390\/s24030877","volume":"24","author":"I Rakhmatulin","year":"2024","unstructured":"Rakhmatulin, I., Dao, M.S., Nassibi, A., Mandic, D.: Exploring convolutional neural network architectures for EEG feature extraction. Sensors 24(3), 877 (2024)","journal-title":"Sensors"},{"issue":"1","key":"14_CR23","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1080\/27706710.2022.2122732","volume":"1","author":"P Ranzo","year":"2022","unstructured":"Ranzo, P., Scarpitti, C.: Brain-computer interfaces and 3D design manufacturing in a postdigital scenario. Brain-Apparatus Commun. J. Bacomics 1(1), 89\u2013106 (2022)","journal-title":"Brain-Apparatus Commun. J. Bacomics"},{"key":"14_CR24","doi-asserted-by":"crossref","DOI":"10.3389\/fnsys.2021.578875","volume":"15","author":"S Saha","year":"2021","unstructured":"Saha, S., et al.: Progress in brain computer interface: challenges and opportunities. Front. Syst. Neurosci. 15, 578875 (2021)","journal-title":"Front. Syst. Neurosci."},{"key":"14_CR25","doi-asserted-by":"crossref","unstructured":"Shamas, M., Wendling, F., El\u00a0Falou, W., Hassan, M.: EEGNET: a novel tool for processing and mapping EEG functional networks. In: 2015 7th International IEEE\/EMBS Conference on Neural Engineering (NER), pp. 1064\u20131067. IEEE (2015)","DOI":"10.1109\/NER.2015.7146811"},{"key":"14_CR26","volume-title":"Brain Architecture: Understanding the Basic Plan","author":"LW Swanson","year":"2012","unstructured":"Swanson, L.W.: Brain Architecture: Understanding the Basic Plan. Oxford University Press, USA (2012)"},{"key":"14_CR27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2011\/879716","volume":"2011","author":"F Tadel","year":"2011","unstructured":"Tadel, F., Baillet, S., Mosher, J.C., Pantazis, D., Leahy, R.M.: Brainstorm: a user-friendly application for MEG\/EEG analysis. Comput. Intell. Neurosci. 2011, 1\u201313 (2011)","journal-title":"Comput. Intell. Neurosci."},{"key":"14_CR28","doi-asserted-by":"crossref","unstructured":"Tong, L.: Evaluation of different brain imaging technologies. In: 2021 International Conference on Public Art and Human Development (ICPAHD 2021), pp. 692\u2013696. Atlantis Press (2022)","DOI":"10.2991\/assehr.k.220110.132"},{"issue":"6","key":"14_CR29","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1002\/ase.1958","volume":"13","author":"N Tripodi","year":"2020","unstructured":"Tripodi, N., et al.: The impact of three-dimensional printed anatomical models on first-year student engagement in a block mode delivery. Anat. Sci. Educ. 13(6), 769\u2013777 (2020)","journal-title":"Anat. Sci. Educ."},{"issue":"4","key":"14_CR30","doi-asserted-by":"crossref","first-page":"443","DOI":"10.20892\/j.issn.2095-3941.2016.0075","volume":"13","author":"R Yao","year":"2016","unstructured":"Yao, R., et al.: Three-dimensional printing: review of application in medicine and hepatic surgery. Cancer Biol. Med. 13(4), 443 (2016)","journal-title":"Cancer Biol. Med."},{"key":"14_CR31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12909-019-1842-1","volume":"20","author":"Z Ye","year":"2020","unstructured":"Ye, Z., et al.: The role of 3D printed models in the teaching of human anatomy: a systematic review and meta-analysis. BMC Med. Educ. 20, 1\u20139 (2020)","journal-title":"BMC Med. Educ."},{"issue":"7","key":"14_CR32","doi-asserted-by":"crossref","first-page":"1472","DOI":"10.3390\/life13071472","volume":"13","author":"C Yen","year":"2023","unstructured":"Yen, C., Lin, C.L., Chiang, M.C.: Exploring the frontiers of neuroimaging: a review of recent advances in understanding brain functioning and disorders. Life 13(7), 1472 (2023)","journal-title":"Life"},{"key":"14_CR33","unstructured":"Yeo, B.T., et\u00a0al.: The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. (2011)"},{"key":"14_CR34","volume":"13","author":"H Zeng","year":"2022","unstructured":"Zeng, H., et al.: EEG-FCV: An EEG-based functional connectivity visualization framework for cognitive state evaluation. Front. Psych. 13, 928781 (2022)","journal-title":"Front. Psych."},{"key":"14_CR35","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1200\/CCI.19.00141","volume":"4","author":"F Zhang","year":"2020","unstructured":"Zhang, F., et al.: SlicerDMRI: diffusion MRI and tractography research software for brain cancer surgery planning and visualization. JCO clinical cancer informatics 4, 299\u2013309 (2020)","journal-title":"JCO clinical cancer informatics"}],"container-title":["Lecture Notes in Computer Science","Extended Reality"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71704-8_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T09:00:42Z","timestamp":1732784442000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71704-8_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031717031","9783031717048"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71704-8_14","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":"18 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"XR Salento","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Extended Reality","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lecce","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"4 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"avr2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.xrsalento.it\/index","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}