{"id":"https://openalex.org/W2152515248","doi":"https://doi.org/10.1109/bmei.2009.5304891","title":"An fMRI Study on the Spectral and Spatial Properties of Steady-State Visual Evoked Response","display_name":"An fMRI Study on the Spectral and Spatial Properties of Steady-State Visual Evoked Response","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2152515248","doi":"https://doi.org/10.1109/bmei.2009.5304891","mag":"2152515248"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2009.5304891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5304891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","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/A5033194023","display_name":"Jie Pan","orcid":"https://orcid.org/0000-0001-9245-0700"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Pan","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000766901","display_name":"Xiaorong Gao","orcid":"https://orcid.org/0000-0003-0499-2740"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaorong Gao","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073517028","display_name":"Shangkai Gao","orcid":"https://orcid.org/0000-0003-3137-6572"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangkai Gao","raw_affiliation_strings":["Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033194023"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19199026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9993000030517578,"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/T10427","display_name":"Visual perception and processing mechanisms","score":0.9972000122070312,"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/spatial-frequency","display_name":"Spatial frequency","score":0.6799115538597107},{"id":"https://openalex.org/keywords/frequency-band","display_name":"Frequency band","score":0.5175384879112244},{"id":"https://openalex.org/keywords/visual-cortex","display_name":"Visual cortex","score":0.5046044588088989},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4835900664329529},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.4798552393913269},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.45364829897880554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44965624809265137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4459479749202728},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.44285768270492554},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.4364522099494934},{"id":"https://openalex.org/keywords/frequency-analysis","display_name":"Frequency analysis","score":0.43044427037239075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.424814373254776},{"id":"https://openalex.org/keywords/visual-perception","display_name":"Visual perception","score":0.4138756990432739},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3283270597457886},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23874825239181519},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.23403137922286987},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2297210991382599},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12869560718536377},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.11991265416145325},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09673964977264404},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08404305577278137}],"concepts":[{"id":"https://openalex.org/C100921725","wikidata":"https://www.wikidata.org/wiki/Q1650811","display_name":"Spatial frequency","level":2,"score":0.6799115538597107},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.5175384879112244},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.5046044588088989},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4835900664329529},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.4798552393913269},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.45364829897880554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44965624809265137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4459479749202728},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.44285768270492554},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.4364522099494934},{"id":"https://openalex.org/C97118885","wikidata":"https://www.wikidata.org/wiki/Q565636","display_name":"Frequency analysis","level":2,"score":0.43044427037239075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.424814373254776},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.4138756990432739},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3283270597457886},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23874825239181519},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.23403137922286987},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2297210991382599},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12869560718536377},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.11991265416145325},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09673964977264404},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08404305577278137},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2009.5304891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2009.5304891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 2nd International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336256","display_name":"Institute of Biophysics, Chinese Academy of Sciences","ror":"https://ror.org/01tyv8576"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1991207685","https://openalex.org/W1995287241","https://openalex.org/W1996090655","https://openalex.org/W2002660165","https://openalex.org/W2010091913","https://openalex.org/W2016444985","https://openalex.org/W2023044836","https://openalex.org/W2041853331","https://openalex.org/W2047463581","https://openalex.org/W2049747737","https://openalex.org/W2069330811","https://openalex.org/W2102454701","https://openalex.org/W2106596127","https://openalex.org/W2111737145","https://openalex.org/W2114083506","https://openalex.org/W2116649573","https://openalex.org/W2139376466","https://openalex.org/W2161419535","https://openalex.org/W2168572392","https://openalex.org/W2540274724","https://openalex.org/W2964918186","https://openalex.org/W6728708976"],"related_works":["https://openalex.org/W262431325","https://openalex.org/W2390651447","https://openalex.org/W2166368937","https://openalex.org/W3013429970","https://openalex.org/W1820289435","https://openalex.org/W2990382479","https://openalex.org/W1999268719","https://openalex.org/W1978881573","https://openalex.org/W2362530701","https://openalex.org/W3185658995"],"abstract_inverted_index":{"Steady-state":[0],"visual":[1,63,123],"evoked":[2],"response":[3],"(SSVER)":[4],"has":[5,51],"been":[6],"widely":[7],"used":[8],"in":[9,29,55,121,130,138],"cognitive":[10],"research":[11],"and":[12,32,61,71,89,133],"engineering":[13],"applications":[14,57],"due":[15],"to":[16],"its":[17,27,59],"high":[18,44],"signal-to-noise":[19],"ratio":[20],"(SNR).":[21],"Previous":[22],"studies":[23],"on":[24],"SSVER":[25,50,75,112],"explored":[26],"properties":[28,73],"the":[30,43,69,98,108,114,122,131,144],"low":[31],"medium":[33],"frequency":[34,45,116,146],"bands":[35,117],"(<":[36],"40":[37],"Hz),":[38],"without":[39],"any":[40],"concern":[41],"of":[42,74,100,113],"band":[46],"(40-60":[47],"Hz).":[48],"High-frequency":[49],"a":[52],"considerable":[53],"potential":[54],"BCI":[56],"for":[58,97],"comfort":[60],"minimal":[62],"fatigue":[64],"caused.":[65],"In":[66],"this":[67],"study,":[68],"spatial":[70,90,139],"spectral":[72],"were":[76,95,118,141],"comprehensively":[77],"investigated":[78],"via":[79],"functional":[80],"MRI":[81],"(fMRI).":[82],"Two":[83],"methods,":[84],"GLM":[85],"(general":[86],"linear":[87],"model)":[88],"ICA":[91],"(independent":[92],"component":[93],"analysis)":[94],"employed":[96],"analysis":[99],"fMRI":[101],"data.":[102],"It":[103],"was":[104],"consistently":[105],"found":[106,142],"by":[107],"two":[109],"methods":[110],"that":[111],"three":[115,145],"located":[119],"primarily":[120],"cortex,":[124],"with":[125],"weaker":[126],"activities":[127],"occasionally":[128],"detected":[129],"parietal":[132],"frontal":[134],"cortices.":[135],"No":[136],"differences":[137],"distribution":[140],"among":[143],"bands.":[147]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
