{"id":"https://openalex.org/W4281692946","doi":"https://doi.org/10.1080/21681163.2022.2077235","title":"Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data","display_name":"Effective connectivity inference in the whole-brain network by using rDCM method for investigating the distinction between emotional states in fMRI data","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4281692946","doi":"https://doi.org/10.1080/21681163.2022.2077235"},"language":"en","primary_location":{"id":"doi:10.1080/21681163.2022.2077235","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2077235","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Effective_connectivity_inference_in_the_whole-brain_network_by_using_rDCM_method_for_investigating_the_distinction_between_emotional_states_in_fMRI_data/19898047","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038197682","display_name":"Naemeh Farahani","orcid":"https://orcid.org/0000-0002-4529-591X"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Naemeh Farahani","raw_affiliation_strings":["Faculty of Medical Sciences and Technologies, Islamic Azad University Science and Research BranchDepartment of Biomedical Engineering-Bioelectric, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Medical Sciences and Technologies, Islamic Azad University Science and Research BranchDepartment of Biomedical Engineering-Bioelectric, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031697184","display_name":"Shabnam Ghahari","orcid":"https://orcid.org/0000-0002-8827-9215"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Shabnam Ghahari","raw_affiliation_strings":["Faculty of Medical Sciences and Technologies, Islamic Azad University Science and Research BranchDepartment of Biomedical Engineering-Bioelectric, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Faculty of Medical Sciences and Technologies, Islamic Azad University Science and Research BranchDepartment of Biomedical Engineering-Bioelectric, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060762919","display_name":"Emad Fatemizadeh","orcid":"https://orcid.org/0000-0001-5017-7136"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Emad Fatemizadeh","raw_affiliation_strings":["Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011004371","display_name":"Ali Motie Nasrabadi","orcid":"https://orcid.org/0000-0002-3702-8547"},"institutions":[{"id":"https://openalex.org/I119025939","display_name":"Shahed University","ror":"https://ror.org/01e8ff003","country_code":"IR","type":"education","lineage":["https://openalex.org/I119025939"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Motie Nasrabadi","raw_affiliation_strings":["Department of Biomedical Engineering, Engineering Faculty, Shahed University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Engineering Faculty, Shahed University, Tehran, Iran","institution_ids":["https://openalex.org/I119025939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038197682"],"corresponding_institution_ids":["https://openalex.org/I155419210"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05175539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"3","first_page":"453","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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":0.9987000226974487,"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":0.9975000023841858,"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/inference","display_name":"Inference","score":0.7483900189399719},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.531649649143219},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.48290228843688965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4336888790130615},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4335460364818573},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.4137207269668579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4052131474018097},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.26514047384262085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23590216040611267},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22151166200637817}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7483900189399719},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.531649649143219},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.48290228843688965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4336888790130615},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4335460364818573},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4137207269668579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4052131474018097},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.26514047384262085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23590216040611267},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22151166200637817}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/21681163.2022.2077235","is_oa":false,"landing_page_url":"https://doi.org/10.1080/21681163.2022.2077235","pdf_url":null,"source":{"id":"https://openalex.org/S2764763012","display_name":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","issn_l":"2168-1163","issn":["2168-1163","2168-1171"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Methods in Biomechanics and Biomedical Engineering: Imaging &amp; Visualization","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/19898047","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Effective_connectivity_inference_in_the_whole-brain_network_by_using_rDCM_method_for_investigating_the_distinction_between_emotional_states_in_fMRI_data/19898047","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.19898047.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.19898047.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/19898047","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Effective_connectivity_inference_in_the_whole-brain_network_by_using_rDCM_method_for_investigating_the_distinction_between_emotional_states_in_fMRI_data/19898047","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1515217129","https://openalex.org/W1677152310","https://openalex.org/W1944011433","https://openalex.org/W1956858973","https://openalex.org/W1964970417","https://openalex.org/W1967542346","https://openalex.org/W1974105735","https://openalex.org/W1977802579","https://openalex.org/W1978510898","https://openalex.org/W1992265439","https://openalex.org/W2003148418","https://openalex.org/W2018305040","https://openalex.org/W2036017692","https://openalex.org/W2047496901","https://openalex.org/W2071415508","https://openalex.org/W2076170850","https://openalex.org/W2089488430","https://openalex.org/W2095978766","https://openalex.org/W2101520758","https://openalex.org/W2103251342","https://openalex.org/W2105931454","https://openalex.org/W2117663940","https://openalex.org/W2129584734","https://openalex.org/W2136794022","https://openalex.org/W2138790588","https://openalex.org/W2139037554","https://openalex.org/W2149153247","https://openalex.org/W2151221838","https://openalex.org/W2151786648","https://openalex.org/W2151969869","https://openalex.org/W2160538606","https://openalex.org/W2162430077","https://openalex.org/W2169005503","https://openalex.org/W2173910182","https://openalex.org/W2266497176","https://openalex.org/W2324155410","https://openalex.org/W2407829232","https://openalex.org/W2418437315","https://openalex.org/W2474291805","https://openalex.org/W2525390368","https://openalex.org/W2564300191","https://openalex.org/W2594366375","https://openalex.org/W2764200065","https://openalex.org/W2771574565","https://openalex.org/W2803973828","https://openalex.org/W2973116542","https://openalex.org/W2975862843","https://openalex.org/W3005623488","https://openalex.org/W3011137314","https://openalex.org/W3014628907","https://openalex.org/W3128794716","https://openalex.org/W3134276325","https://openalex.org/W3183516149"],"related_works":["https://openalex.org/W3107474891","https://openalex.org/W2211820962","https://openalex.org/W2033914206","https://openalex.org/W2163831990","https://openalex.org/W2146076056","https://openalex.org/W3003836766","https://openalex.org/W2046077695","https://openalex.org/W1978450727","https://openalex.org/W2110459882","https://openalex.org/W2378160586"],"abstract_inverted_index":{"In":[0,35],"recent":[1],"years,":[2],"the":[3,44,81,106,110,124,135,144],"regression":[4],"dynamic":[5,17],"causal":[6,18],"modelling":[7,19],"(rDCM)":[8],"method":[9,56,69],"was":[10,70,128],"introduced":[11],"as":[12],"a":[13],"new":[14],"version":[15],"of":[16,46,61,112,120],"(DCM)":[20],"to":[21,57,72],"derive":[22],"effective":[23,74,87],"connectivity":[24],"in":[25,91,114,123,130],"whole-brain":[26,136],"networks":[27,59],"for":[28,134,143],"functional":[29],"magnetic":[30],"resonance":[31],"imaging":[32],"(fMRI)":[33],"data.":[34],"this":[36,55],"research,":[37],"we":[38],"used":[39,71],"data":[40],"obtained":[41],"while":[42],"applying":[43],"stimulation":[45],"audio":[47],"movie":[48],"comprised":[49],"different":[50],"emotional":[51,77,92],"states.":[52],"We":[53,103],"applied":[54],"two":[58],"consisting":[60],"ten":[62],"auditory":[63,95,145],"and":[64,79,94,97,100,132,138,141],"forty-four":[65],"regions,":[66,96],"respectively.":[67],"This":[68],"study":[73],"connections":[75,88,108],"between":[76,83,98,109,126],"states":[78],"represent":[80],"distinction":[82],"emotions.":[84],"Finally,":[85],"significant":[86,121],"were":[89],"found":[90],"processing":[93],"visual":[99],"memory-related":[101],"regions.":[102],"also":[104],"observed":[105],"distinctive":[107],"pair":[111],"emotions":[113],"both":[115],"models.":[116],"The":[117],"greatest":[118],"number":[119],"distinctions":[122],"coupling":[125],"regions":[127],"represented":[129],"happiness-anger":[131],"happiness-fear":[133],"model":[137],"happiness-sadness,":[139],"sadness-love,":[140],"anger-love":[142],"model.":[146]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
