{"id":"https://openalex.org/W4386352535","doi":"https://doi.org/10.1109/isbi53787.2023.10230831","title":"A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network","display_name":"A Deep Learning Framework to Localize the Epileptogenic Zone from Dynamic Functional Connectivity Using a Combined Graph Convolutional and Transformer Network","publication_year":2023,"publication_date":"2023-04-18","ids":{"openalex":"https://openalex.org/W4386352535","doi":"https://doi.org/10.1109/isbi53787.2023.10230831","pmid":"https://pubmed.ncbi.nlm.nih.gov/39450418"},"language":"en","primary_location":{"id":"doi:10.1109/isbi53787.2023.10230831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11500832/pdf/nihms-1983318.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047790408","display_name":"Naresh Nandakumar","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naresh Nandakumar","raw_affiliation_strings":["Johns Hopkins University,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, Johns Hopkins University, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091766965","display_name":"David Hsu","orcid":"https://orcid.org/0000-0002-8343-0406"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Hsu","raw_affiliation_strings":["University of Wisconsin School of Medicine,Department of Neurology,USA","Department of Neurology, University of Wisconsin School of Medicine, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin School of Medicine,Department of Neurology,USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Department of Neurology, University of Wisconsin School of Medicine, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080908050","display_name":"Raheel Ahmed","orcid":"https://orcid.org/0000-0003-2814-7314"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raheel Ahmed","raw_affiliation_strings":["University of Wisconsin School of Medicine,Department of Neurosurgery,USA","Department of Neurosurgery, University of Wisconsin School of Medicine, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin School of Medicine,Department of Neurosurgery,USA","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Department of Neurosurgery, University of Wisconsin School of Medicine, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083233304","display_name":"Archana Venkataraman","orcid":"https://orcid.org/0000-0003-2653-5591"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Archana Venkataraman","raw_affiliation_strings":["Johns Hopkins University,Department of Electrical and Computer Engineering,USA","Department of Electrical and Computer Engineering, Johns Hopkins University, USA","Department of Electrical and Computer Engineering, Boston University, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Department of Electrical and Computer Engineering,USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047790408"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":0.688,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68057228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"2023","issue":null,"first_page":"1","last_page":"5"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7722066640853882},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.5721357464790344},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5350462198257446},{"id":"https://openalex.org/keywords/human-connectome-project","display_name":"Human Connectome Project","score":0.5322933793067932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.521123468875885},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.4890492856502533},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4445697069168091},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.437838077545166},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.4225309491157532},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41743314266204834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3701631426811218},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36322394013404846},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.34445250034332275},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2799449861049652},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1293146312236786},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08221125602722168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722066640853882},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.5721357464790344},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5350462198257446},{"id":"https://openalex.org/C97820695","wikidata":"https://www.wikidata.org/wiki/Q387749","display_name":"Human Connectome Project","level":3,"score":0.5322933793067932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.521123468875885},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.4890492856502533},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4445697069168091},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.437838077545166},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.4225309491157532},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41743314266204834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3701631426811218},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36322394013404846},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.34445250034332275},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2799449861049652},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1293146312236786},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08221125602722168}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi53787.2023.10230831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi53787.2023.10230831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:39450418","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39450418","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":"Proceedings. IEEE International Symposium on Biomedical Imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11500832","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11500832","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11500832/pdf/nihms-1983318.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11500832","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11500832","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11500832/pdf/nihms-1983318.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Symp Biomed Imaging","raw_type":"Text"},"sustainable_development_goals":[{"score":0.5,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G175553339","display_name":null,"funder_award_id":"EB029977","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7015713058","display_name":null,"funder_award_id":"1845430","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7367509425","display_name":null,"funder_award_id":"CA263804","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386352535.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W93792659","https://openalex.org/W1528867653","https://openalex.org/W1894368511","https://openalex.org/W1976623182","https://openalex.org/W2024729467","https://openalex.org/W2075044067","https://openalex.org/W2144317552","https://openalex.org/W2177362284","https://openalex.org/W2328176404","https://openalex.org/W2329148842","https://openalex.org/W2402346616","https://openalex.org/W2526511911","https://openalex.org/W2751527031","https://openalex.org/W2765511579","https://openalex.org/W2899771611","https://openalex.org/W2918972315","https://openalex.org/W2985331920","https://openalex.org/W3098887627","https://openalex.org/W3176617847","https://openalex.org/W4221108649","https://openalex.org/W4283784208","https://openalex.org/W4385245566","https://openalex.org/W6631797662","https://openalex.org/W6739901393","https://openalex.org/W6756040250","https://openalex.org/W6785133050","https://openalex.org/W6839254066"],"related_works":["https://openalex.org/W4394988277","https://openalex.org/W1520477417","https://openalex.org/W3150454329","https://openalex.org/W4250679599","https://openalex.org/W4236064658","https://openalex.org/W3136590534","https://openalex.org/W4393477281","https://openalex.org/W3210626554","https://openalex.org/W4281670718","https://openalex.org/W4393909126"],"abstract_inverted_index":{"Localizing":[0],"the":[1,10,37,44,57,87,104,119],"epileptogenic":[2],"zone":[3],"(EZ)":[4],"is":[5],"a":[6,20,60,67,76,112],"critical":[7],"step":[8],"in":[9,36],"treatment":[11],"of":[12,86,122],"medically":[13],"refractory":[14],"epilepsy.":[15],"Resting-state":[16],"fMRI":[17],"(rs-fMRI)":[18],"offers":[19],"new":[21],"window":[22],"into":[23],"this":[24,40],"task":[25],"by":[26,75],"capturing":[27],"dynamically":[28],"evolving":[29],"co-activation":[30],"patterns,":[31],"also":[32],"known":[33],"as":[34],"connectivity,":[35],"brain.":[38],"In":[39],"work,":[41],"we":[42],"present":[43],"first":[45],"automated":[46],"framework":[47,65,98],"that":[48],"uses":[49,66],"dynamic":[50],"functional":[51],"connectivity":[52],"from":[53,103],"rs-fMRI":[54,88],"to":[55],"localize":[56],"EZ":[58,93],"across":[59],"heterogeneous":[61],"epilepsy":[62,114],"cohort.":[63],"Our":[64,116],"graph":[68],"convolutional":[69,124],"network":[70],"for":[71,92],"feature":[72],"extraction,":[73],"followed":[74],"transformer":[77,126],"network,":[78],"whose":[79],"attention":[80],"mechanism":[81],"learns":[82],"which":[83],"time":[84],"points":[85],"scan":[89],"are":[90],"important":[91],"localization.":[94],"We":[95],"train":[96],"our":[97,123],"on":[99,111],"augmented":[100],"data":[101,129],"derived":[102],"Human":[105],"Connectome":[106],"Project":[107],"and":[108,128,134],"evaluate":[109],"it":[110],"clinical":[113],"dataset.":[115],"results":[117],"demonstrate":[118],"clear":[120],"advantages":[121],"+":[125],"combination":[127],"augmentation":[130],"procedure":[131],"over":[132],"ablated":[133],"comparison":[135],"models.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
