{"id":"https://openalex.org/W2059183046","doi":"https://doi.org/10.1155/2012/251295","title":"A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources","display_name":"A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2059183046","doi":"https://doi.org/10.1155/2012/251295","mag":"2059183046"},"language":"en","primary_location":{"id":"doi:10.1155/2012/251295","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/251295","pdf_url":"https://downloads.hindawi.com/journals/jam/2012/251295.pdf","source":{"id":"https://openalex.org/S190082376","display_name":"Journal of Applied Mathematics","issn_l":"1110-757X","issn":["1110-757X","1687-0042"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Applied Mathematics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/jam/2012/251295.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068777761","display_name":"Jongho Choi","orcid":"https://orcid.org/0000-0003-2086-3869"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jong-Ho Choi","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103062842","display_name":"Min-Hyuk Kim","orcid":"https://orcid.org/0000-0002-1592-9256"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min-Hyuk Kim","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682340","display_name":"Feng Luan","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Luan Feng","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035060535","display_name":"Chany Lee","orcid":"https://orcid.org/0000-0003-3195-1960"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chany Lee","raw_affiliation_strings":["College of Medicine, Korea University, Seoul 136705"],"affiliations":[{"raw_affiliation_string":"College of Medicine, Korea University, Seoul 136705","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108722010","display_name":"Hyun\u2010Kyo Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Kyo Jung","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, College of Engineering, Seoul National University, Seoul 151744","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068777761"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":1025,"currency":"USD","value_usd":1025},"apc_paid":{"value":1025,"currency":"USD","value_usd":1025},"fwci":0.2866,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57544319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2012","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/magnetoencephalography","display_name":"Magnetoencephalography","score":0.7509377002716064},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7430329322814941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6597691774368286},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.6245136260986328},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.5932770371437073},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5526618361473083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5168421864509583},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.4951917231082916},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4887058734893799},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4871461093425751},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4715469181537628},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.4262502193450928},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3865737020969391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26293832063674927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1950398087501526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18076357245445251},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15131857991218567}],"concepts":[{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.7509377002716064},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7430329322814941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597691774368286},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.6245136260986328},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.5932770371437073},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5526618361473083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5168421864509583},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.4951917231082916},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4887058734893799},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4871461093425751},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4715469181537628},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4262502193450928},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3865737020969391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26293832063674927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1950398087501526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18076357245445251},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15131857991218567},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2012/251295","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/251295","pdf_url":"https://downloads.hindawi.com/journals/jam/2012/251295.pdf","source":{"id":"https://openalex.org/S190082376","display_name":"Journal of Applied Mathematics","issn_l":"1110-757X","issn":["1110-757X","1687-0042"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Applied Mathematics","raw_type":"journal-article"},{"id":"pmh:oai:CULeuclid:euclid.jam/1350492735","is_oa":false,"landing_page_url":"http://projecteuclid.org/euclid.jam/1350492735","pdf_url":null,"source":{"id":"https://openalex.org/S4306400787","display_name":"Project Euclid (Cornell University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},{"id":"pmh:oai:RePEc:hin:jnljam:251295","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/JAM/2012/251295.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:8a5101f8c1894c03bdc72de8c52f6d51","is_oa":true,"landing_page_url":"https://doaj.org/article/8a5101f8c1894c03bdc72de8c52f6d51","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Applied Mathematics, Vol 2012 (2012)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2012/251295","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/251295","pdf_url":"https://downloads.hindawi.com/journals/jam/2012/251295.pdf","source":{"id":"https://openalex.org/S190082376","display_name":"Journal of Applied Mathematics","issn_l":"1110-757X","issn":["1110-757X","1687-0042"],"is_oa":true,"is_in_doaj":true,"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":"Journal of Applied Mathematics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2059183046.pdf","grobid_xml":"https://content.openalex.org/works/W2059183046.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1966367933","https://openalex.org/W1973042443","https://openalex.org/W1990381576","https://openalex.org/W2031425398","https://openalex.org/W2037420423","https://openalex.org/W2065919982","https://openalex.org/W2066937230","https://openalex.org/W2091421749","https://openalex.org/W3031967244","https://openalex.org/W4236746718"],"related_works":["https://openalex.org/W357196361","https://openalex.org/W3109425891","https://openalex.org/W1036938216","https://openalex.org/W2113714434","https://openalex.org/W2377792686","https://openalex.org/W2027314909","https://openalex.org/W4200439127","https://openalex.org/W829658220","https://openalex.org/W3096637473","https://openalex.org/W2946560178"],"abstract_inverted_index":{"Various":[0],"inverse":[1,24],"algorithms":[2],"have":[3,28],"been":[4,52],"proposed":[5,79,85,106],"to":[6,54,64],"estimate":[7],"brain":[8],"electrical":[9],"activities":[10],"with":[11],"magnetoencephalography":[12],"(MEG)":[13],"and":[14,19,33,84],"electroencephalography":[15],"(EEG).":[16],"To":[17,73],"validate":[18,74],"compare":[20],"the":[21,37,43,48,66,75,78,105,110,116],"performances":[22],"of":[23,47,77,115,118],"algorithms,":[25],"many":[26],"researchers":[27],"used":[29],"artificially":[30],"constructed":[31],"EEG":[32],"MEG":[34],"datasets.":[35],"When":[36],"artificial":[38,91],"sources":[39,70,93],"are":[40],"reconstructed":[41,67],"on":[42],"cortical":[44,69,92],"surface,":[45],"accuracy":[46],"source":[49,111,119],"estimates":[50],"has":[51],"difficult":[53],"evaluate.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"suggest":[60],"a":[61],"new":[62],"measure":[63],"evaluate":[65],"EEG/MEG":[68],"more":[71],"accurately.":[72],"usefulness":[76],"method,":[80],"comparison":[81],"between":[82],"conventional":[83],"evaluation":[86],"metrics":[87],"was":[88],"conducted":[89],"using":[90],"simulated":[94],"under":[95],"different":[96],"noise":[97],"conditions.":[98],"The":[99],"simulation":[100],"results":[101],"demonstrated":[102],"that":[103],"only":[104],"method":[107],"could":[108],"reflect":[109],"space":[112],"geometry":[113],"regardless":[114],"number":[117],"peaks.":[120]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}