{"id":"https://openalex.org/W4410296457","doi":"https://doi.org/10.1109/isbi60581.2025.10980889","title":"SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity","display_name":"SELF-Clustering Graph Transformer Approach to Model Resting State Functional Brain Activity","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410296457","doi":"https://doi.org/10.1109/isbi60581.2025.10980889","pmid":"https://pubmed.ncbi.nlm.nih.gov/41928911"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd 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/PMC13042258/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042338698","display_name":"Bishal Thapaliya","orcid":null},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Bishal Thapaliya","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080080406","display_name":"Esra Akba\u015f","orcid":"https://orcid.org/0000-0002-8817-2442"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Esra Akbas","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085920261","display_name":"Ram P. Sapkota","orcid":"https://orcid.org/0000-0002-3547-3188"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ram Sapkota","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003244937","display_name":"Bhaskar Ray","orcid":"https://orcid.org/0009-0003-2818-6759"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhaskar Ray","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince Calhoun","raw_affiliation_strings":["Tri-Institutional Center for Translational Research in Neuroimaging and Data Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tri-Institutional Center for Translational Research in Neuroimaging and Data Science","institution_ids":["https://openalex.org/I4210133909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424755","display_name":"Jingyu Liu","orcid":"https://orcid.org/0000-0003-2332-5062"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingyu Liu","raw_affiliation_strings":["Georgia State University,Department of Computer Science,Atlanta,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia State University,Department of Computer Science,Atlanta,USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042338698"],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":null,"apc_paid":null,"fwci":1.2467,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.78169416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"2025","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":0.7454000115394592,"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":0.7454000115394592,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.6643999814987183,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.6489999890327454,"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":0.6709199547767639},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5987844467163086},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.5627890229225159},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.45549875497817993},{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.44115614891052246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33476847410202026},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.18093407154083252},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12948894500732422},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11081752181053162},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10108551383018494}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6709199547767639},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5987844467163086},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.5627890229225159},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.45549875497817993},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.44115614891052246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33476847410202026},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.18093407154083252},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12948894500732422},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11081752181053162},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10108551383018494},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980889","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980889","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:41928911","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41928911","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:13042258","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13042258/","pdf_url":null,"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:13042258","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13042258/","pdf_url":null,"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":[],"awards":[{"id":"https://openalex.org/G1607760283","display_name":null,"funder_award_id":"R01AG063153","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3908860139","display_name":null,"funder_award_id":"ROIAG063153","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2124698428","https://openalex.org/W2157106546","https://openalex.org/W2526511911","https://openalex.org/W2605370253","https://openalex.org/W2791781046","https://openalex.org/W2979650665","https://openalex.org/W3048396787","https://openalex.org/W3199008037","https://openalex.org/W4295750005","https://openalex.org/W4386362648","https://openalex.org/W4392904443","https://openalex.org/W4401751146","https://openalex.org/W4405430060","https://openalex.org/W4405490151","https://openalex.org/W4406940694"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4230045434"],"abstract_inverted_index":{"effectively":[0],"captures":[1],"the":[2,6,13,30,37,48,63,83],"sub-network":[3],"structure":[4],"of":[5,50],"brain":[7,78],"by":[8],"performing":[9],"cluster-specific":[10],"updates":[11,18],"to":[12,26],"nodes":[14],"unlike":[15],"uniform":[16],"node":[17],"like":[19],"vanilla":[20,64],"graph":[21,65],"transformers,":[22],"further":[23],"allowing":[24],"us":[25],"learn":[27],"and":[28,54,68,81],"interpret":[29],"subclusters.":[31],"We":[32],"validate":[33],"our":[34],"approach":[35],"on":[36],"Adolescent":[38],"Brain":[39],"Cognitive":[40],"Development":[41],"(ABCD)":[42],"dataset,":[43],"comprising":[44],"7,957":[45],"participants,":[46],"for":[47,76],"prediction":[49],"total":[51],"cognitive":[52],"score":[53],"gender":[55],"classification.":[56],"Our":[57],"results":[58],"demonstrate":[59],"that":[60],"SCGT":[61],"outperforms":[62],"transformer":[66],"method,":[67],"other":[69],"recent":[70],"models,":[71],"offering":[72],"a":[73],"promising":[74],"tool":[75],"modeling":[77],"functional":[79],"connectivity":[80],"interpreting":[82],"underlying":[84],"subnetwork":[85],"structures.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
