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The reconstructed dipoles are clustered in time and space to associate them with sources. We applied this new method to synthetic data sets and show here that it is able to automatically estimate the source structure in most cases more accurately than either traditional multi\u2010dipole modeling or minimum current estimation performed by uninformed human operators. We also show that from real somatosensory evoked fields the method reconstructs a source constellation comparable to that obtained by multi\u2010dipole modeling. Hum Brain Mapp, 2009. \u00a9 2009 Wiley\u2010Liss, Inc.<\/jats:p>","DOI":"10.1002\/hbm.20786","type":"journal-article","created":{"date-parts":[[2009,4,19]],"date-time":"2009-04-19T15:07:19Z","timestamp":1240153639000},"page":"1911-1921","source":"Crossref","is-referenced-by-count":53,"title":["Dynamical MEG source modeling with multi\u2010target Bayesian filtering"],"prefix":"10.1002","volume":"30","author":[{"given":"Alberto","family":"Sorrentino","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lauri","family":"Parkkonen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annalisa","family":"Pascarella","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristina","family":"Campi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michele","family":"Piana","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2009,4,17]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2000.0616"},{"key":"e_1_2_6_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.978374"},{"key":"e_1_2_6_4_1","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/24\/2\/025023"},{"key":"e_1_2_6_5_1","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/83.1.81"},{"key":"e_1_2_6_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008935410038"},{"key":"e_1_2_6_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2004.02.022"},{"key":"e_1_2_6_8_1","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.1999.0470"},{"key":"e_1_2_6_9_1","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.65.413"},{"key":"e_1_2_6_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02512476"},{"key":"e_1_2_6_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2005.06.003"},{"key":"e_1_2_6_12_1","series-title":"Proceedings of the 28th IEEE EMBS Annual International Conference","first-page":"4532","author":"Long C","year":"2006"},{"key":"e_1_2_6_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2003.1261119"},{"key":"e_1_2_6_14_1","volume-title":"Random Sets and Integral Geometry","author":"Matheron G","year":"1975"},{"key":"e_1_2_6_15_1","volume-title":"Theory of Random Sets","author":"Molchanov I","year":"2005"},{"key":"e_1_2_6_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/78.740118"},{"key":"e_1_2_6_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.05.063"},{"key":"e_1_2_6_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.10019"},{"key":"e_1_2_6_19_1","volume-title":"Statistical and Computational Inverse Problems","author":"Somersalo E","year":"2004"},{"key":"e_1_2_6_20_1","doi-asserted-by":"publisher","DOI":"10.1088\/0266-5611\/19\/5\/304"},{"key":"e_1_2_6_21_1","series-title":"Proceedings of the International Conference on Biomagnetism (BIOMAG 2006)","first-page":"173","author":"Sorrentino A","year":"2007"},{"key":"e_1_2_6_22_1","volume-title":"Cluster Analysis Algorithms for Data Reduction and Classification of Objects","author":"Spath H","year":"1980"},{"key":"e_1_2_6_23_1","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2002.1151"},{"key":"e_1_2_6_24_1","first-page":"269","article-title":"Suppression of interference and artifacts by the signal space separation method","volume":"4","author":"Taulu S","year":"2004","journal-title":"Brain Topogr"},{"key":"e_1_2_6_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/10.678606"},{"key":"e_1_2_6_26_1","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.1999.0454"},{"key":"e_1_2_6_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/10.623056"},{"key":"e_1_2_6_28_1","unstructured":"ViholaM(2004):Random sets for multitarget tracking and data fusion. 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