{"id":"https://openalex.org/W1682816815","doi":"https://doi.org/10.1360/03yf0530","title":"A novel method for spatio-temporal pattern analysis of brain fMRI data","display_name":"A novel method for spatio-temporal pattern analysis of brain fMRI data","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W1682816815","doi":"https://doi.org/10.1360/03yf0530","mag":"1682816815"},"language":"en","primary_location":{"id":"doi:10.1360/03yf0530","is_oa":false,"landing_page_url":"http://doi.org/10.1360/03yf0530","pdf_url":null,"source":{"id":"https://openalex.org/S4210224633","display_name":"Science in China Series F Information Sciences","issn_l":"1009-2757","issn":["1009-2757","1862-2836"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science in China Series F","raw_type":"journal-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/A5100613442","display_name":"Yadong Liu","orcid":"https://orcid.org/0000-0002-6322-3944"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yadong LIU","raw_affiliation_strings":["College of Mechatronics and Automation; National University of Defense Technology; Changsha China"],"affiliations":[{"raw_affiliation_string":"College of Mechatronics and Automation; National University of Defense Technology; Changsha China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100613442"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":1.297,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79430907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"48","issue":"2","first_page":"151","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9922000169754028,"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/T10320","display_name":"Neural Networks and Applications","score":0.9897000193595886,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.505789041519165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45919927954673767},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4213413894176483},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3441162109375},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.30852827429771423}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.505789041519165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45919927954673767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4213413894176483},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3441162109375},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.30852827429771423}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1360/03yf0530","is_oa":false,"landing_page_url":"http://doi.org/10.1360/03yf0530","pdf_url":null,"source":{"id":"https://openalex.org/S4210224633","display_name":"Science in China Series F Information Sciences","issn_l":"1009-2757","issn":["1009-2757","1862-2836"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Science in China Series F","raw_type":"journal-article"},{"id":"pmh:oai:/ir.psych.ac.cn:311026/5133","is_oa":false,"landing_page_url":"http://ir.psych.ac.cn/handle/311026/5133","pdf_url":null,"source":{"id":"https://openalex.org/S4377196583","display_name":"Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210131870","host_organization_name":"Institute of Psychology, Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210131870"],"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":"\u671f\u520a\u8bba\u6587"},{"id":"pmh:oai:ir.psych.ac.cn:311026/5133","is_oa":false,"landing_page_url":"http://ir.psych.ac.cn/handle/311026/5134","pdf_url":null,"source":{"id":"https://openalex.org/S4377196583","display_name":"Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210131870","host_organization_name":"Institute of Psychology, Chinese Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210131870"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1548802052","https://openalex.org/W1780332285","https://openalex.org/W1964327009","https://openalex.org/W1973990950","https://openalex.org/W1977159424","https://openalex.org/W1996355918","https://openalex.org/W2016444985","https://openalex.org/W2025283285","https://openalex.org/W2043015466","https://openalex.org/W2059503655","https://openalex.org/W2066007662","https://openalex.org/W2066053111","https://openalex.org/W2088774650","https://openalex.org/W2100764393","https://openalex.org/W2103402739","https://openalex.org/W2115562224","https://openalex.org/W2116649573","https://openalex.org/W2125069108","https://openalex.org/W2139447054","https://openalex.org/W2141224535","https://openalex.org/W2143506052","https://openalex.org/W2151635492","https://openalex.org/W2155722796","https://openalex.org/W2162726907","https://openalex.org/W2263224228","https://openalex.org/W3104833475"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"A":[0],"novel":[1],"data":[2],"processing":[3],"procedure":[4,83],"for":[5,89],"fMRI":[6,107],"was":[7,32,52,66],"suggested":[8,122],"in":[9,103],"this":[10,82],"paper,":[11],"by":[12,120],"which":[13,100],"spatial":[14,94],"and":[15,93,116],"temporal":[16,61],"characteristics":[17],"of":[18,38,43,81,96,106,113],"stimuli-induced":[19,75],"signal":[20,76],"dynamic":[21,77],"responses":[22],"can":[23],"be":[24],"investigated":[25],"simultaneously.":[26],"First":[27],"the":[28,36,41,44,49,56,60,70,90,111,121],"multitaper":[29],"spectral":[30],"estimation":[31],"utilized":[33],"to":[34,54,69,73],"estimate":[35],"spectrum":[37],"each":[39],"voxel;":[40],"significance":[42],"line":[45],"frequency":[46,51],"components":[47],"at":[48],"interested":[50],"tested":[53],"detect":[55],"task-related":[57,97],"cortex":[58],"areas;":[59],"independent":[62],"component":[63],"analysis":[64,105],"(tICA)":[65],"then":[67],"applied":[68],"activated":[71],"voxels":[72],"obtain":[74],"responses.":[78],"The":[79],"advantages":[80],"are:":[84],"few":[85],"assumptions":[86],"are":[87,118],"needed":[88],"cerebral":[91],"hemodynamics":[92],"distribution":[95],"areas,":[98],"problems":[99],"often":[101],"appear":[102],"tICA":[104],"data,":[108],"such":[109],"as":[110],"lack":[112],"stability,":[114],"reliability":[115],"robustness,":[117],"overcome":[119],"method.":[123]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}