{"id":"https://openalex.org/W2276316610","doi":"https://doi.org/10.1007/978-3-7908-2604-3_58","title":"Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface","display_name":"Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2276316610","doi":"https://doi.org/10.1007/978-3-7908-2604-3_58","mag":"2276316610"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-7908-2604-3_58","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7908-2604-3_58","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of COMPSTAT'2010","raw_type":"book-chapter"},"type":"book-chapter","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/A5026762833","display_name":"Bertrand Thirion","orcid":"https://orcid.org/0000-0001-5018-7895"},"institutions":[{"id":"https://openalex.org/I4210127723","display_name":"Direction des \u00e9nergies","ror":"https://ror.org/03cwzta72","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bertrand Thirion","raw_affiliation_strings":["CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","CEA, DSV, I\u00b2BM, Neurospin, CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","Parietal team, INRIA Saclay-\u00cele-de-France, Saclay, France"],"affiliations":[{"raw_affiliation_string":"CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"CEA, DSV, I\u00b2BM, Neurospin, CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210127723","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Parietal team, INRIA Saclay-\u00cele-de-France, Saclay, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013762542","display_name":"Alan Tucholka","orcid":"https://orcid.org/0000-0002-8880-2707"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210127723","display_name":"Direction des \u00e9nergies","ror":"https://ror.org/03cwzta72","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alan Tucholka","raw_affiliation_strings":["CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","CEA, DSV, I\u00b2BM, Neurospin, CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","Parietal team, INRIA Saclay-\u00cele-de-France, Saclay, France"],"affiliations":[{"raw_affiliation_string":"CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"CEA, DSV, I\u00b2BM, Neurospin, CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210127723","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Parietal team, INRIA Saclay-\u00cele-de-France, Saclay, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I1326498283"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069918313","display_name":"Jean\u2010Baptiste Poline","orcid":"https://orcid.org/0000-0002-9794-749X"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210127723","display_name":"Direction des \u00e9nergies","ror":"https://ror.org/03cwzta72","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210127723"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"funder","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210128565","display_name":"CEA Paris-Saclay","ror":"https://ror.org/03n15ch10","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210128565"]},{"id":"https://openalex.org/I4210126360","display_name":"Inria Saclay - \u00cele de France","ror":"https://ror.org/0315e5x55","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210126360"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Baptiste Poline","raw_affiliation_strings":["CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","CEA, DSV, I\u00b2BM, Neurospin, CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","Parietal team, INRIA Saclay-\u00cele-de-France, Saclay, France"],"affiliations":[{"raw_affiliation_string":"CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"CEA, DSV, I\u00b2BM, Neurospin, CEA Saclay, B\u00e2timent 145, 91191, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210127723","https://openalex.org/I4210128565"]},{"raw_affiliation_string":"Parietal team, INRIA Saclay-\u00cele-de-France, Saclay, France","institution_ids":["https://openalex.org/I4210126360","https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026762833"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I2738703131","https://openalex.org/I4210126360","https://openalex.org/I4210127723","https://openalex.org/I4210128565"],"apc_list":null,"apc_paid":null,"fwci":0.2825,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60263279,"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":"565","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9979000091552734,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6625314950942993},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.6019206047058105},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.592202365398407},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5208816528320312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5137025117874146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4813028872013092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4670734703540802},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4348880648612976},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4294931888580322},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4235048294067383},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.41745537519454956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3028397560119629},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1290038824081421},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12226462364196777},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10661587119102478}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6625314950942993},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.6019206047058105},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.592202365398407},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5208816528320312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5137025117874146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4813028872013092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4670734703540802},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4348880648612976},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4294931888580322},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4235048294067383},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.41745537519454956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3028397560119629},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1290038824081421},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12226462364196777},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10661587119102478},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-7908-2604-3_58","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7908-2604-3_58","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of COMPSTAT'2010","raw_type":"book-chapter"},{"id":"pmh:oai:HAL:inria-00521908v1","is_oa":false,"landing_page_url":"https://inria.hal.science/inria-00521908","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"19th International Conference on Computational Statistics, Aug 2010, Paris, France. pp.565--572","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.75,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1480005468","https://openalex.org/W1981591148","https://openalex.org/W2041526309","https://openalex.org/W2067191022","https://openalex.org/W2103501461","https://openalex.org/W2110437310","https://openalex.org/W2113620950","https://openalex.org/W2144675138","https://openalex.org/W2151130155"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W2103073163"],"abstract_inverted_index":{"Activation":[0],"detection":[1],"in":[2,16,66,122],"functional":[3],"Magnetic":[4],"Resonance":[5],"Imaging":[6],"(fMRI)":[7],"datasets":[8],"is":[9,146],"usually":[10],"performed":[11,121,158],"by":[12],"thresholding":[13],"activation":[14],"maps":[15],"the":[17,23,28,40,43,47,50,87,132,141,149,160],"brain":[18,58],"volume":[19],"or,":[20],"better,":[21],"on":[22,30,86,159],"cortical":[24,83,88,161],"surface.":[25,162],"However,":[26],"basing":[27],"analysis":[29],"a":[31,53,73,100],"site-by-site":[32],"statistical":[33],"decision":[34],"may":[35],"be":[36,64,120],"detrimental":[37],"both":[38],"to":[39,46],"interpretation":[41],"of":[42,49,57,131,143,151],"results":[44],"and":[45,90,137],"sensitivity":[48,142,150],"analysis,":[51],"because":[52],"perfect":[54],"point-to-point":[55],"correspondence":[56],"surfaces":[59],"from":[60],"multiple":[61],"subjects":[62],"cannot":[63],"guaranteed":[65],"practice.":[67],"In":[68],"this":[69,123,144],"paper,":[70],"we":[71,138],"propose":[72],"new":[74],"approach":[75,145],"that":[76,103,115,140],"first":[77],"defines":[78],"anatomical":[79],"regions":[80,94],"such":[81],"as":[82],"gyri":[84],"outlined":[85],"surface,":[89],"then":[91],"segments":[92],"these":[93],"into":[95],"functionally":[96],"homogeneous":[97],"structures":[98],"using":[99,134],"parcellation":[101],"procedure":[102,126],"includes":[104],"an":[105,128],"explicit":[106],"between-subject":[107],"variability":[108],"model,":[109],"i.e.":[110],"random":[111,116,155],"effects.":[112],"We":[113],"show":[114,139],"effects":[117,156],"inference":[118],"can":[119],"framework.":[124],"Our":[125],"allows":[127],"exact":[129],"control":[130],"specificity":[133],"permutation":[135],"techniques,":[136],"higher":[147],"than":[148],"voxel-":[152],"or":[153],"cluster-level":[154],"tests":[157]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
