{"id":"https://openalex.org/W4401072412","doi":"https://doi.org/10.1109/memea60663.2024.10596739","title":"Dynamic Causal Modelling Applied to Functional MRI of Depression: An Objective Diagnosis","display_name":"Dynamic Causal Modelling Applied to Functional MRI of Depression: An Objective Diagnosis","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4401072412","doi":"https://doi.org/10.1109/memea60663.2024.10596739"},"language":"en","primary_location":{"id":"doi:10.1109/memea60663.2024.10596739","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/memea60663.2024.10596739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.tue.nl/ws/files/336963499/Dynamic_Causal_Modelling_Applied_to_Functional_MRI_of_Depression_An_Objective_Diagnosis.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058166842","display_name":"Sjir J. C. Schielen","orcid":"https://orcid.org/0009-0005-1223-0449"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Sjir J.C. Schielen","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103829854","display_name":"\u0414\u043c\u0438\u0442\u0440\u0438\u0439 \u0421\u0442\u0435\u043f\u0430\u043d\u043e\u0432","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Dmitrii Stepanov","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041067562","display_name":"Ramona C\u00eerstian","orcid":"https://orcid.org/0000-0001-7302-6314"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ramona C\u00eerstian","raw_affiliation_strings":["Radboud University,Donders Centre for Cognitive Neuroimaging,Nijmegen,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Radboud University,Donders Centre for Cognitive Neuroimaging,Nijmegen,The Netherlands","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077594842","display_name":"Dani\u00ebl Ruijters","orcid":"https://orcid.org/0000-0002-9931-4047"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Danny Ruijters","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003850251","display_name":"Albert P. Aldenkamp","orcid":"https://orcid.org/0000-0003-3362-9756"},"institutions":[{"id":"https://openalex.org/I4210132398","display_name":"Kempenhaeghe","ror":"https://ror.org/03bbe8e53","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210132398"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Albert P. Aldenkamp","raw_affiliation_strings":["Epilepsy Center Kempenhaeghe,Department of Behavioral Sciences,Heeze,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Epilepsy Center Kempenhaeghe,Department of Behavioral Sciences,Heeze,The Netherlands","institution_ids":["https://openalex.org/I4210132398"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012511456","display_name":"Svitlana Zinger","orcid":"https://orcid.org/0000-0001-9357-3067"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Svitlana Zinger","raw_affiliation_strings":["Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Electrical Engineering,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058166842"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.3538,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58055978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.8550999760627747,"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":0.8550999760627747,"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/depression","display_name":"Depression (economics)","score":0.5618366003036499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5445199608802795},{"id":"https://openalex.org/keywords/dynamic-contrast-enhanced-mri","display_name":"Dynamic contrast-enhanced MRI","score":0.4636785686016083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36078107357025146},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.2901015877723694},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24907571077346802},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.160773366689682}],"concepts":[{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.5618366003036499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5445199608802795},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.4636785686016083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36078107357025146},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2901015877723694},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24907571077346802},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.160773366689682},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/memea60663.2024.10596739","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/memea60663.2024.10596739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/3a7d7f77-76e3-4c0a-a8f9-217f1cd96c66","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/3a7d7f77-76e3-4c0a-a8f9-217f1cd96c66","pdf_url":"https://pure.tue.nl/ws/files/336963499/Dynamic_Causal_Modelling_Applied_to_Functional_MRI_of_Depression_An_Objective_Diagnosis.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Schielen, S, Stepanov, D, C\u00eerstian, R, Ruijters, D, Aldenkamp, A P & Zinger, S 2024, Dynamic Causal Modelling Applied to Functional MRI of Depression : An Objective Diagnosis. in 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)., 10596739, Institute of Electrical and Electronics Engineers, 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024, Eindhoven, Netherlands, 26/06/24. https://doi.org/10.1109/MeMeA60663.2024.10596739","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/3a7d7f77-76e3-4c0a-a8f9-217f1cd96c66","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/3a7d7f77-76e3-4c0a-a8f9-217f1cd96c66","pdf_url":"https://pure.tue.nl/ws/files/336963499/Dynamic_Causal_Modelling_Applied_to_Functional_MRI_of_Depression_An_Objective_Diagnosis.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Schielen, S, Stepanov, D, C\u00eerstian, R, Ruijters, D, Aldenkamp, A P & Zinger, S 2024, Dynamic Causal Modelling Applied to Functional MRI of Depression : An Objective Diagnosis. in 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)., 10596739, Institute of Electrical and Electronics Engineers, 2024 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2024, Eindhoven, Netherlands, 26/06/24. https://doi.org/10.1109/MeMeA60663.2024.10596739","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401072412.pdf"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1934567097","https://openalex.org/W1977465442","https://openalex.org/W1986928551","https://openalex.org/W2015822010","https://openalex.org/W2016625584","https://openalex.org/W2020245429","https://openalex.org/W2055862036","https://openalex.org/W2061564920","https://openalex.org/W2079450984","https://openalex.org/W2087658007","https://openalex.org/W2100831964","https://openalex.org/W2117621792","https://openalex.org/W2117663940","https://openalex.org/W2124459709","https://openalex.org/W2134431612","https://openalex.org/W2145151017","https://openalex.org/W2178225550","https://openalex.org/W2769792344","https://openalex.org/W2793741653","https://openalex.org/W2805627121","https://openalex.org/W2967946137","https://openalex.org/W2977883299","https://openalex.org/W2981446641","https://openalex.org/W2988850692","https://openalex.org/W3004386287","https://openalex.org/W3125774480","https://openalex.org/W3208504364","https://openalex.org/W4247665917","https://openalex.org/W4281264024","https://openalex.org/W4318542975","https://openalex.org/W4378171983"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0,22,121],"diagnosis":[1,45],"of":[2,10,24,29,61,69,101,137,151,192],"depression":[3],"is":[4,37,74,145,205],"based":[5,18,46],"on":[6,19,47,96,154,201],"a":[7,20,44,52,97,129,206,209],"subjective":[8],"interpretation":[9],"reported":[11],"symptoms":[12,191],"rather":[13],"than":[14],"an":[15,48],"objective":[16,49],"test":[17,50],"measurement.":[21,53],"limitations":[23],"the":[25,41,135,155,160,164,170,175,182,190,195],"current":[26],"diagnostic":[27],"practice":[28],"neuropsychiatric":[30],"disorders":[31],"have":[32],"been":[33],"acknowledged":[34],"and":[35,84,93,105,168,174],"it":[36],"time":[38],"to":[39,89,148,189],"shift":[40],"paradigm":[42],"toward":[43,208],"following":[51],"In":[54],"this":[55,204],"study,":[56],"effective":[57,119,124,143,161,197],"connectivity":[58,144],"between":[59,91,169],"pairs":[60],"resting-state":[62],"networks":[63],"obtained":[64],"from":[65,128],"independent":[66],"component":[67],"analysis":[68],"functional":[70],"magnetic":[71],"resonance":[72],"imaging":[73],"estimated":[75],"using":[76,117,181],"Friston's":[77,138],"Dynamic":[78],"Causal":[79],"Modelling.":[80],"Chi-Square":[81],"feature":[82],"selection":[83],"classification":[85],"algorithms":[86],"are":[87,126,179],"used":[88],"classify":[90],"depressed":[92,103],"control":[94],"individuals":[95,104],"case-control":[98],"dataset":[99],"consisting":[100],"51":[102],"21":[106],"healthy":[107],"controls.":[108],"This":[109,185],"resulted":[110],"in":[111,159],"77":[112],"%":[113],"leave-one-out":[114],"cross-validation":[115],"accuracy":[116],"eight":[118],"connections.":[120],"most":[122],"discriminative":[123],"connections":[125,162,198],"interpreted":[127],"clinical":[130,133],"view.":[131],"Besides":[132],"interpretation,":[134],"application":[136],"biologically-inspired":[139],"model":[140],"for":[141,211],"es-timating":[142],"also":[146],"compared":[147],"data-driven":[149],"methods":[150],"estimating":[152],"causality":[153],"same":[156],"dataset.":[157],"Aberrations":[158],"within":[163],"default":[165,171],"mode":[166,172],"network":[167,173,178],"dorsal":[176],"attention":[177],"identified":[180,196],"proposed":[183],"methodology.":[184],"can":[186],"be":[187],"linked":[188],"depression.":[193,212],"If":[194],"prove":[199],"reproducible":[200],"other":[202],"datasets,":[203],"stride":[207],"biomarker":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}