{"id":"https://openalex.org/W2737126463","doi":"https://doi.org/10.1109/prni.2017.7981509","title":"Spatial spreading of representational geometry through source estimation of magnetoencephalography signals","display_name":"Spatial spreading of representational geometry through source estimation of magnetoencephalography signals","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2737126463","doi":"https://doi.org/10.1109/prni.2017.7981509","mag":"2737126463"},"language":"en","primary_location":{"id":"doi:10.1109/prni.2017.7981509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2017.7981509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050418918","display_name":"Masashi Sato","orcid":"https://orcid.org/0009-0009-3852-4591"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masashi Sato","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020619481","display_name":"Yoichi Miyawaki","orcid":"https://orcid.org/0000-0001-9581-926X"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoichi Miyawaki","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050418918"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53913787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9983999729156494,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9983999729156494,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9979000091552734,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/magnetoencephalography","display_name":"Magnetoencephalography","score":0.9474460482597351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334487795829773},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5585654377937317},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.538946270942688},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.5384016633033752},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4969463646411896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48423051834106445},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4827525019645691},{"id":"https://openalex.org/keywords/brain-mapping","display_name":"Brain mapping","score":0.47297587990760803},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4210107922554016},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.25883370637893677},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2100142240524292},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18926778435707092},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15097668766975403}],"concepts":[{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.9474460482597351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334487795829773},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5585654377937317},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.538946270942688},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.5384016633033752},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4969463646411896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48423051834106445},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4827525019645691},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.47297587990760803},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4210107922554016},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.25883370637893677},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2100142240524292},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18926778435707092},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15097668766975403},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/prni.2017.7981509","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2017.7981509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1966716734","https://openalex.org/W2000384178","https://openalex.org/W2014502281","https://openalex.org/W2034709607","https://openalex.org/W2091421749","https://openalex.org/W2107418674","https://openalex.org/W2108469855","https://openalex.org/W2114977008","https://openalex.org/W2120078534","https://openalex.org/W2136586322","https://openalex.org/W2144031273","https://openalex.org/W2150469050","https://openalex.org/W2160654481","https://openalex.org/W2568734123"],"related_works":["https://openalex.org/W3142610246","https://openalex.org/W2058642012","https://openalex.org/W2133080863","https://openalex.org/W1511411771","https://openalex.org/W2162915647","https://openalex.org/W2009129964","https://openalex.org/W4237946792","https://openalex.org/W4382244032","https://openalex.org/W2482639233","https://openalex.org/W2317784982"],"abstract_inverted_index":{"To":[0],"clarify":[1],"where":[2,184],"and":[3,55,126],"when":[4,121],"information":[5,41,98,185],"is":[6,21,28,48,79],"represented":[7,99,192],"in":[8,70,195],"the":[9,46,81,101,112,115,152,155,167,187,208,224,234,251,254],"human":[10],"brain,":[11],"close":[12],"investigation":[13],"of":[14,50,66,114,117,139,142,154,166,207,210,226,236,238,248,253],"brain":[15,68,88,94,119,170,182,196,228,240],"activity":[16,171,197],"at":[17],"high":[18,33],"spatiotemporal":[19,34],"resolution":[20],"important.":[22],"However,":[23,74],"no":[24],"current":[25,84,104,157],"neuroimaging":[26],"method":[27],"able":[29],"to":[30,38,92,144,181],"achieve":[31],"such":[32],"resolution.":[35],"One":[36],"attempt":[37],"extract":[39],"necessary":[40],"from":[42,85],"measured":[43],"data":[44],"under":[45],"limitation":[47],"combination":[49,61],"magnetoencephalography":[51],"(MEG)":[52],"source":[53,77,82,102,124,160,215],"estimation":[54,78,125],"multivariate":[56],"pattern":[57],"analysis":[58,135],"(MVPA).":[59],"This":[60],"may":[62,105,218],"allow":[63],"accurate":[64],"localization":[65,116,225],"informative":[67,118,227,239],"areas":[69,120,183,241],"fine":[71],"time":[72],"steps.":[73],"because":[75],"MEG":[76,123,159,214],"underdetermined,":[80],"cortical":[83,103,156],"a":[86],"particular":[87],"area":[89],"can":[90,242],"spread":[91,180],"other":[93],"areas.":[95,229],"In":[96,128],"addition,":[97],"by":[100,151,245],"spread,":[106],"too.":[107],"Therefore,":[108],"we":[109,131,203,231],"should":[110,204],"evaluate":[111],"accuracy":[113],"combining":[122],"MVPA.":[127],"this":[129],"study,":[130],"used":[132],"representational":[133,178,211,255],"similarity":[134],"(RSA)":[136],"as":[137,193],"one":[138],"major":[140],"methods":[141],"MVPA":[143],"investigate":[145],"whether":[146],"its":[147],"result":[148],"was":[149,190],"influenced":[150],"spreading":[153,209],"through":[158,213],"estimation.":[161],"We":[162],"found":[163],"that":[164,202,233],"relationship":[165],"distance":[168],"between":[169],"patterns":[172],"for":[173],"multiple":[174],"experimental":[175,188],"conditions,":[176],"or":[177],"geometry,":[179],"about":[186,223],"conditions":[189],"not":[191],"difference":[194],"patterns.":[198],"These":[199],"results":[200,247],"suggest":[201],"be":[205,243],"aware":[206],"geometry":[212],"estimation,":[216],"which":[217],"yield":[219],"false":[220],"positive":[221],"interpretation":[222],"Finally,":[230],"demonstrated":[232],"possibility":[235],"mislocalization":[237],"reduced":[244],"weighting":[246],"RSA":[249],"with":[250],"reliability":[252],"dissimilarity":[256],"matrices.":[257]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}