{"id":"https://openalex.org/W2428883233","doi":"https://doi.org/10.1109/isbi.2016.7493506","title":"Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior","display_name":"Kernel partial least squares regression for relating functional brain network topology to clinical measures of behavior","publication_year":2016,"publication_date":"2016-04-01","ids":{"openalex":"https://openalex.org/W2428883233","doi":"https://doi.org/10.1109/isbi.2016.7493506","mag":"2428883233","pmid":"https://pubmed.ncbi.nlm.nih.gov/32742554"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2016.7493506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7395901","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002397295","display_name":"Eleanor Wong","orcid":"https://orcid.org/0000-0001-7094-7679"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eleanor Wong","raw_affiliation_strings":["School of Computing, University of Utah","Scientific Computing and Imaging Institute, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Scientific Computing and Imaging Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044976958","display_name":"Sourabh Palande","orcid":"https://orcid.org/0000-0002-1404-8238"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sourabh Palande","raw_affiliation_strings":["School of Computing, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349956","display_name":"Bei Wang","orcid":"https://orcid.org/0000-0002-9240-0700"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bei Wang","raw_affiliation_strings":["Scientific Computing and Imaging Institute, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific Computing and Imaging Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087509437","display_name":"Brandon A. Zielinski","orcid":null},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon Zielinski","raw_affiliation_strings":["Pediatrics and Neurology, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pediatrics and Neurology, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065545528","display_name":"Jeffrey S. Anderson","orcid":"https://orcid.org/0000-0002-9669-3846"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Anderson","raw_affiliation_strings":["Radiology, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radiology, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010665785","display_name":"P. Thomas Fletcher","orcid":"https://orcid.org/0000-0002-3111-2553"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. Thomas Fletcher","raw_affiliation_strings":["School of Computing, University of Utah","Scientific Computing and Imaging Institute, University of Utah"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Utah","institution_ids":["https://openalex.org/I223532165"]},{"raw_affiliation_string":"Scientific Computing and Imaging Institute, University of Utah","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I223532165"],"apc_list":null,"apc_paid":null,"fwci":8.2143,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.98352345,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"2016","issue":null,"first_page":"1303","last_page":"1306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9987999796867371,"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":0.9987999796867371,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/persistent-homology","display_name":"Persistent homology","score":0.7711633443832397},{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"Topological data analysis","score":0.6387875080108643},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5804964900016785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5699396133422852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5205938816070557},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5157790184020996},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.501835823059082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4977555572986603},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4948088526725769},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.4938381314277649},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.48606517910957336},{"id":"https://openalex.org/keywords/partial-correlation","display_name":"Partial correlation","score":0.4515189826488495},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.44166454672813416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38158363103866577},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.3425760567188263},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3086104989051819},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23531219363212585},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23171642422676086},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14143559336662292},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1324566900730133},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1230948269367218}],"concepts":[{"id":"https://openalex.org/C2874115","wikidata":"https://www.wikidata.org/wiki/Q17099562","display_name":"Persistent homology","level":2,"score":0.7711633443832397},{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.6387875080108643},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5804964900016785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5699396133422852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5205938816070557},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5157790184020996},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.501835823059082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4977555572986603},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4948088526725769},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.4938381314277649},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.48606517910957336},{"id":"https://openalex.org/C64708745","wikidata":"https://www.wikidata.org/wiki/Q2998010","display_name":"Partial correlation","level":3,"score":0.4515189826488495},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.44166454672813416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38158363103866577},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3425760567188263},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3086104989051819},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23531219363212585},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23171642422676086},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14143559336662292},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1324566900730133},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1230948269367218},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/isbi.2016.7493506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2016.7493506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmid:32742554","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32742554","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:7395901","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7395901","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:7395901","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7395901","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/G8480725902","display_name":null,"funder_award_id":"R01 EB022876","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1597646636","https://openalex.org/W1960384938","https://openalex.org/W1967760180","https://openalex.org/W1975427503","https://openalex.org/W1975678598","https://openalex.org/W1991566301","https://openalex.org/W1999653836","https://openalex.org/W2026940923","https://openalex.org/W2037613900","https://openalex.org/W2071391326","https://openalex.org/W2089572795","https://openalex.org/W2139269942","https://openalex.org/W3013843370","https://openalex.org/W6642020965","https://openalex.org/W6680508596"],"related_works":["https://openalex.org/W2886923060","https://openalex.org/W2887690685","https://openalex.org/W3120766012","https://openalex.org/W3204835693","https://openalex.org/W4287394697","https://openalex.org/W3119689987","https://openalex.org/W3137224016","https://openalex.org/W3128725485","https://openalex.org/W4295883750","https://openalex.org/W3106789825"],"abstract_inverted_index":{"In":[0,111],"this":[1],"paper":[2],"we":[3,24,114],"present":[4],"a":[5,47,73],"novel":[6],"method":[7],"for":[8],"analyzing":[9],"the":[10,53,60,83,116],"relationship":[11,84],"between":[12,85],"functional":[13,33],"brain":[14,34,121],"networks":[15,35],"and":[16,89],"behavioral":[17],"phenotypes.":[18],"Drawing":[19],"from":[20,32,39,128],"topological":[21,27,57,87,136],"data":[22],"analysis,":[23],"first":[25],"extract":[26],"features":[28,58,88,103,137],"using":[29,105,145],"persistent":[30],"homology":[31],"that":[36,132],"are":[37],"derived":[38],"correlations":[40,134,146],"in":[41],"resting-state":[42],"fMRI.":[43],"Rather":[44],"than":[45,144],"fixing":[46],"discrete":[48],"network":[49,61,122],"topology":[50],"by":[51,104],"thresholding":[52],"connectivity":[54],"matrix,":[55],"these":[56,86],"capture":[59],"organization":[62],"across":[63],"all":[64],"continuous":[65],"threshold":[66],"values.":[67],"We":[68,130],"then":[69],"propose":[70],"to":[71,80,99,124],"use":[72],"kernel":[74],"partial":[75],"least":[76],"squares":[77],"(kPLS)":[78],"regression":[79],"statistically":[81],"quantify":[82],"behavior":[90],"measures.":[91],"The":[92],"kPLS":[93],"also":[94],"provides":[95],"an":[96],"elegant":[97],"way":[98],"combine":[100],"multiple":[101,109],"image":[102],"linear":[106],"combinations":[107],"of":[108,118,141],"kernels.":[110],"our":[112,119],"experiments":[113],"test":[115],"ability":[117],"proposed":[120],"analysis":[123],"predict":[125],"autism":[126,142],"severity":[127,143],"rs-fMRI.":[129],"show":[131],"combining":[133],"with":[135],"gives":[138],"better":[139],"prediction":[140],"alone.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
