{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T20:54:44Z","timestamp":1743108884153,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030370770"},{"type":"electronic","value":"9783030370787"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-37078-7_10","type":"book-chapter","created":{"date-parts":[[2019,12,5]],"date-time":"2019-12-05T00:15:28Z","timestamp":1575504928000},"page":"95-104","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Imaging EEG Extended Sources Based on Variation Sparsity with $$L_1$$-norm Residual"],"prefix":"10.1007","author":[{"given":"Furong","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8151-4326","authenticated-orcid":false,"given":"Ke","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Deng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guoyin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,5]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"1927","DOI":"10.1109\/TBME.2018.2881092","volume":"66","author":"JC Bore","year":"2018","unstructured":"Bore, J.C., et al.: Sparse EEG source localization using LAPPS: least absolute l-P ($$0<p<1$$) penalized solution. IEEE Trans. Biomed. Eng. 66, 1927\u20131939 (2018)","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10_CR2","unstructured":"Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J., et al.: Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends\u00ae Mach. Learn. 3(1), 1\u2013122 (2011)"},{"issue":"1","key":"10_CR3","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.neuroimage.2010.05.013","volume":"53","author":"WT Chang","year":"2010","unstructured":"Chang, W.T., Nummenmaa, A., Hsieh, J.C., Lin, F.H.: Spatially sparse source cluster modeling by compressive neuromagnetic tomography. Neuroimage 53(1), 146\u2013160 (2010)","journal-title":"Neuroimage"},{"issue":"2","key":"10_CR4","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1162\/jocn.1993.5.2.162","volume":"5","author":"AM Dale","year":"1993","unstructured":"Dale, A.M., Sereno, M.I.: Improved localizadon of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach. J. Cognit. Neurosci. 5(2), 162\u2013176 (1993)","journal-title":"J. Cognit. Neurosci."},{"issue":"9","key":"10_CR5","doi-asserted-by":"publisher","first-page":"2683","DOI":"10.1088\/0031-9155\/54\/9\/006","volume":"54","author":"L Ding","year":"2009","unstructured":"Ding, L.: Reconstructing cortical current density by exploring sparseness in the transform domain. Phys. Med. Biol. 54(9), 2683\u20132697 (2009)","journal-title":"Phys. Med. Biol."},{"issue":"5","key":"10_CR6","doi-asserted-by":"publisher","first-page":"1172","DOI":"10.1002\/hbm.21276","volume":"33","author":"M D\u00fcmpelmann","year":"2012","unstructured":"D\u00fcmpelmann, M., Ball, T., Schulze-Bonhage, A.: sLORETA allows reliable distributed source reconstruction based on subdural strip and grid recordings. Hum. Brain Mapp. 33(5), 1172\u20131188 (2012)","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10_CR7","doi-asserted-by":"publisher","first-page":"734","DOI":"10.1016\/j.neuroimage.2005.08.053","volume":"29","author":"C Grova","year":"2006","unstructured":"Grova, C., Daunizeau, J., Lina, J.M., B\u00e9nar, C.G., Benali, H., Gotman, J.: Evaluation of EEG localization methods using realistic simulations of interictal spikes. Neuroimage 29(3), 734\u2013753 (2006)","journal-title":"Neuroimage"},{"key":"10_CR8","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1146\/annurev-bioeng-062117-120853","volume":"20","author":"B He","year":"2018","unstructured":"He, B., Sohrabpour, A., Brown, E., Liu, Z.: Electrophysiological source imaging: a noninvasive window to brain dynamics. Annu. Rev. Biomed. Eng. 20, 171\u2013196 (2018)","journal-title":"Annu. Rev. Biomed. Eng."},{"key":"10_CR9","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1016\/j.neuroimage.2016.06.027","volume":"139","author":"K Liu","year":"2016","unstructured":"Liu, K., Yu, Z.L., Wu, W., Gu, Z., Li, Y., Nagarajan, S.: Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov random field and temporal basis expansion. Neuroimage 139, 385\u2013404 (2016)","journal-title":"Neuroimage"},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.neucom.2018.06.004","volume":"313","author":"K Liu","year":"2018","unstructured":"Liu, K., Yu, Z.L., Wu, W., Gu, Z., Li, Y., Nagarajan, S.: Variation sparse source imaging based on conditional mean for electromagnetic extended sources. Neurocomputing 313, 96\u2013110 (2018)","journal-title":"Neurocomputing"},{"issue":"1","key":"10_CR11","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/0167-8760(84)90014-X","volume":"18","author":"RD Pascual-Marqui","year":"1994","unstructured":"Pascual-Marqui, R.D., Michel, C.M., Lehmann, D.: Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. Int. J. Psychophysiol. 18(1), 49\u201365 (1994)","journal-title":"Int. J. Psychophysiol."},{"key":"10_CR12","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.neuroimage.2016.05.064","volume":"142","author":"A Sohrabpour","year":"2016","unstructured":"Sohrabpour, A., Lu, Y., Worrell, G., He, B.: Imaging brain source extent from EEG\/MEG by means of an iteratively reweighted edge sparsity minimization (IRES) strategy. Neuroimage 142, 27\u201342 (2016)","journal-title":"Neuroimage"},{"key":"10_CR13","doi-asserted-by":"publisher","first-page":"8:1","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, 8:1\u20138:13 (2011)","journal-title":"Comput. Intell. Neurosci."},{"issue":"4","key":"10_CR14","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1109\/TCI.2017.2744626","volume":"3","author":"F Wen","year":"2017","unstructured":"Wen, F., Pei, L., Yang, Y., Yu, W., Liu, P.: Efficient and robust recovery of sparse signal and image using generalized nonconvex regularization. IEEE Trans. Comput. Imaging 3(4), 566\u2013579 (2017)","journal-title":"IEEE Trans. Comput. Imaging"},{"issue":"3","key":"10_CR15","doi-asserted-by":"publisher","first-page":"947","DOI":"10.1016\/j.neuroimage.2008.02.059","volume":"44","author":"D Wipf","year":"2009","unstructured":"Wipf, D., Nagarajan, S.: A unified Bayesian framework for MEG\/EEG source imaging. Neuroimage 44(3), 947\u2013966 (2009)","journal-title":"Neuroimage"},{"key":"10_CR16","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1016\/j.neuroimage.2013.09.070","volume":"86","author":"M Zhu","year":"2014","unstructured":"Zhu, M., Zhang, W., Dickens, D.L., Ding, L.: Reconstructing spatially extended brain sources via enforcing multiple transform sparseness. Neuroimage 86, 280\u2013293 (2014)","journal-title":"Neuroimage"}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-37078-7_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:58:23Z","timestamp":1710356303000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-37078-7_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030370770","9783030370787"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-37078-7_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"5 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Haikou","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 December 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 December 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2019a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wi-consortium.org\/conferences\/bi2019\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}