{"id":"https://openalex.org/W1944320288","doi":"https://doi.org/10.1155/2015/801037","title":"Electrical Neuroimaging with Irrotational Sources","display_name":"Electrical Neuroimaging with Irrotational Sources","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1944320288","doi":"https://doi.org/10.1155/2015/801037","mag":"1944320288","pmid":"https://pubmed.ncbi.nlm.nih.gov/26113873"},"language":"en","primary_location":{"id":"doi:10.1155/2015/801037","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/801037","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/801037.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2015/801037.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103436300","display_name":"Rolando Grave de Peralta Men\u00e9ndez","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rolando Grave de Peralta Menendez","raw_affiliation_strings":["Electrical Neuroimaging Group, 18 rue Albert Gos, 1206 Geneva, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Neuroimaging Group, 18 rue Albert Gos, 1206 Geneva, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010480736","display_name":"Sara Gonz\u00e1lez Andino","orcid":null},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Sara Gonzalez Andino","raw_affiliation_strings":["Electrical Neuroimaging Group, 18 rue Albert Gos, 1206 Geneva, Switzerland","Neural Microcircuitry Lab, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 Lausanne, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Neuroimaging Group, 18 rue Albert Gos, 1206 Geneva, Switzerland","institution_ids":[]},{"raw_affiliation_string":"Neural Microcircuitry Lab, \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), 1015 Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103436300"],"corresponding_institution_ids":[],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.0,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.04063793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"2015","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.7645755410194397},{"id":"https://openalex.org/keywords/conservative-vector-field","display_name":"Conservative vector field","score":0.5900290012359619},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3828922510147095},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.37296366691589355},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3660798966884613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35556161403656006},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20352599024772644},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.10829216241836548}],"concepts":[{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.7645755410194397},{"id":"https://openalex.org/C147457402","wikidata":"https://www.wikidata.org/wiki/Q1588205","display_name":"Conservative vector field","level":3,"score":0.5900290012359619},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3828922510147095},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.37296366691589355},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3660798966884613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35556161403656006},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20352599024772644},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.10829216241836548},{"id":"https://openalex.org/C84655787","wikidata":"https://www.wikidata.org/wiki/Q8067817","display_name":"Compressibility","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004594","descriptor_name":"Electrophysiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004594","descriptor_name":"Electrophysiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004594","descriptor_name":"Electrophysiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016880","descriptor_name":"Anisotropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016880","descriptor_name":"Anisotropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016880","descriptor_name":"Anisotropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D059906","descriptor_name":"Neuroimaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1155/2015/801037","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/801037","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/801037.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:26113873","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26113873","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:a4fb0c948c7f411daecb4c16f2ae17a0","is_oa":false,"landing_page_url":"https://doaj.org/article/a4fb0c948c7f411daecb4c16f2ae17a0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2015 (2015)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3439498","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4465711","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:infoscience.epfl.ch:212381","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/212381","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2015/801037","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2015/801037","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2015/801037.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4971730148","display_name":null,"funder_award_id":"119-10","funder_id":"https://openalex.org/F4320323882","funder_display_name":"Stiftung Forschung 3R"}],"funders":[{"id":"https://openalex.org/F4320323882","display_name":"Stiftung Forschung 3R","ror":"https://ror.org/04e94n214"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1944320288.pdf","grobid_xml":"https://content.openalex.org/works/W1944320288.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1967421663","https://openalex.org/W1968218572","https://openalex.org/W2007318276","https://openalex.org/W2024785698","https://openalex.org/W2050236517","https://openalex.org/W2100028360","https://openalex.org/W4210809295"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1987593498","https://openalex.org/W171739255","https://openalex.org/W2027745255","https://openalex.org/W1972633281","https://openalex.org/W2073233359","https://openalex.org/W2119567551","https://openalex.org/W2171351987","https://openalex.org/W3046690900"],"abstract_inverted_index":{"This":[0],"paper":[1],"discusses":[2],"theoretical":[3],"aspects":[4],"of":[5,8,11,28,34,70,74,85,94,119,138,181],"the":[6,9,12,15,24,29,35,51,57,65,68,91,96,102,107,116,120,126,130,135,139,158,163,169,176,182,193],"modeling":[7],"sources":[10],"EEG":[13,58,183],"(i.e.,":[14],"bioelectromagnetic":[16],"inverse":[17],"problem":[18],"or":[19,104],"source":[20,97,148,171],"localization":[21],"problem).":[22],"Using":[23],"Helmholtz":[25],"decomposition":[26],"(HD)":[27],"current":[30,37],"density":[31],"vector":[32],"(CDV)":[33],"primary":[36],"into":[38],"an":[39,146],"irrotational":[40,52,77,147,170],"(I)":[41],"and":[42,73,189],"a":[43,71,75,112],"solenoidal":[44],"(S)":[45],"part":[46,53],"we":[47,62,166],"show":[48,80,167],"that":[49,123,132,145,168],"only":[50],"can":[54],"contribute":[55],"to":[56,111,162],"measurements.":[59],"In":[60],"particular":[61],"present":[63],"for":[64,82,175],"first":[66],"time":[67],"HD":[69],"dipole":[72],"pure":[76],"source.":[78],"We":[79],"that,":[81],"both":[83],"kinds":[84],"sources,":[86,121],"I":[87],"extends":[88],"all":[89],"over":[90],"space":[92],"independently":[93],"whether":[95],"is":[98,125,151],"spatially":[99],"concentrated":[100],"(as":[101],"dipole)":[103],"not.":[105],"However,":[106],"divergence":[108,127,159],"remains":[109,160,173],"confined":[110,161],"region":[113],"coinciding":[114],"with":[115],"expected":[117],"location":[118],"confirming":[122],"it":[124,143],"rather":[128],"than":[129],"CDV":[131],"really":[133],"defines":[134],"spatial":[136],"extension":[137],"generators,":[140],"from":[141],"where":[142],"follows":[144],"model":[149,172,180],"(ELECTRA)":[150],"always":[152],"physiologically":[153],"meaningful":[154],"as":[155,157],"long":[156],"brain.":[164],"Finally":[165],"valid":[174],"most":[177],"general":[178],"electrodynamics":[179],"in":[184],"inhomogeneous":[185],"anisotropic":[186],"dispersive":[187],"media":[188],"thus":[190],"far":[191],"beyond":[192],"(quasi)":[194],"static":[195],"approximation.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}