{"id":"https://openalex.org/W2293943580","doi":"https://doi.org/10.1109/embc.2015.7318930","title":"Functional Mesh Model with Temporal Measurements for brain decoding","display_name":"Functional Mesh Model with Temporal Measurements for brain decoding","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2293943580","doi":"https://doi.org/10.1109/embc.2015.7318930","mag":"2293943580","pmid":"https://pubmed.ncbi.nlm.nih.gov/26736830"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2015.7318930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7318930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5109195244","display_name":"It\u0131r \u00d6nal","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Itir Onal","raw_affiliation_strings":["Department of Computer Engineering, Middle East Technical University, Ankara, TURKEY"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Middle East Technical University, Ankara, TURKEY","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054882290","display_name":"Mete \u00d6zay","orcid":"https://orcid.org/0000-0002-7189-7260"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mete Ozay","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Sendai, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110664463","display_name":"Fato\u015f T. Yarman Vural","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Fatos T. Yarman Vural","raw_affiliation_strings":["Dept. of Comput. Eng., Orta Dogu Teknik Universitesi, Ankara, Ankara, TR"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Eng., Orta Dogu Teknik Universitesi, Ankara, Ankara, TR","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109195244"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":1.3228,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80201626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"abs 1205 2382","issue":null,"first_page":"2624","last_page":"2628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","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"}},"topics":[{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9934999942779541,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.989799976348877,"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/voxel","display_name":"Voxel","score":0.8338583707809448},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.702635645866394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6385222673416138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.616817057132721},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5769349336624146},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5505733489990234},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5439751744270325},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5059351325035095},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.45450857281684875},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.4356998801231384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39872145652770996},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20557361841201782},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15401294827461243}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.8338583707809448},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.702635645866394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6385222673416138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616817057132721},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5769349336624146},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5505733489990234},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5439751744270325},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5059351325035095},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45450857281684875},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.4356998801231384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39872145652770996},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20557361841201782},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15401294827461243},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010100","descriptor_name":"Oxygen","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D010100","descriptor_name":"Oxygen","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D010100","descriptor_name":"Oxygen","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010775","descriptor_name":"Photic Stimulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011859","descriptor_name":"Radiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2015.7318930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2015.7318930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:26736830","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26736830","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:open.metu.edu.tr:11511/53372","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/53372","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W195739245","https://openalex.org/W1498593709","https://openalex.org/W1660656898","https://openalex.org/W1969959732","https://openalex.org/W2025306773","https://openalex.org/W2028739995","https://openalex.org/W2058046532","https://openalex.org/W2075325329","https://openalex.org/W2089632738","https://openalex.org/W2112532472","https://openalex.org/W2118693417","https://openalex.org/W2118813278","https://openalex.org/W2124654072","https://openalex.org/W2128641239","https://openalex.org/W2316898203","https://openalex.org/W2325428263","https://openalex.org/W6608024511","https://openalex.org/W6637155797"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2236358107","https://openalex.org/W4294567033","https://openalex.org/W2612969269","https://openalex.org/W2909244363","https://openalex.org/W3095261004"],"abstract_inverted_index":{"We":[0,115,130],"propose":[1],"a":[2,14,45,77,104],"method":[3],"called":[4],"Functional":[5],"Mesh":[6],"Model":[7],"with":[8,54],"Temporal":[9],"Measurements":[10],"(FMM-TM)":[11],"to":[12],"estimate":[13],"functional":[15,46],"relationship":[16,93],"among":[17],"voxels":[18],"using":[19,59,103,124,156,167],"temporal":[20,170],"data,":[21],"and":[22,43,67,98,120,142,161,169],"employ":[23],"these":[24],"relationships":[25],"for":[26],"brain":[27],"decoding.":[28],"For":[29],"each":[30,41,49],"sample,":[31],"we":[32,71],"measure":[33],"Blood":[34],"Oxygenation":[35],"Level":[36],"Dependent":[37],"(BOLD)":[38],"responses":[39,87],"from":[40],"voxel,":[42],"construct":[44],"mesh":[47,163],"around":[48],"voxel":[50,79,97,151],"(called":[51],"seed":[52,78,96],"voxel)":[53],"its":[55,89,99],"nearest":[56],"neighbors":[57,100],"selected":[58],"distance":[60,159],"metrics":[61],"namely":[62,139],"Pearson":[63],"correlation,":[64],"cosine":[65],"similarity":[66],"Euclidean":[68],"distance.":[69],"Then,":[70],"represent":[72],"the":[73,95,125],"BOLD":[74,86],"response":[75],"of":[76,82,85,88,106],"in":[80,134],"terms":[81],"linear":[83,113],"combination":[84],"p-nearest":[90],"neighbors.":[91],"The":[92],"between":[94],"is":[101],"represented":[102],"set":[105],"weights":[107,127],"which":[108],"are":[109],"estimated":[110,126],"by":[111],"employing":[112],"regression.":[114],"train":[116],"Support":[117],"Vector":[118],"Machine":[119],"k-Nearest":[121],"Neighbor":[122],"classifiers":[123],"as":[128],"features.":[129],"test":[131],"our":[132,145],"model":[133,164],"an":[135],"event-related":[136],"design":[137],"experiment,":[138],"object":[140],"recognition,":[141],"observe":[143],"that":[144],"features":[146,154,165],"perform":[147],"better":[148],"than":[149],"raw":[150],"intensity":[152],"values,":[153],"obtained":[155],"various":[157],"pairwise":[158],"metrics,":[160],"local":[162],"extracted":[166],"stationary":[168],"measurements.":[171]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}