{"id":"https://openalex.org/W2552343086","doi":"https://doi.org/10.1109/tmi.2016.2631001","title":"A CCA and ICA-Based Mixture Model for Identifying Major Depression Disorder","display_name":"A CCA and ICA-Based Mixture Model for Identifying Major Depression Disorder","publication_year":2016,"publication_date":"2016-11-22","ids":{"openalex":"https://openalex.org/W2552343086","doi":"https://doi.org/10.1109/tmi.2016.2631001","mag":"2552343086","pmid":"https://pubmed.ncbi.nlm.nih.gov/27893387"},"language":"en","primary_location":{"id":"doi:10.1109/tmi.2016.2631001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2631001","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016878525","display_name":"Wuhong Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wuhong Lin","raw_affiliation_strings":["School of Mathematics, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015275123","display_name":"Huawang Wu","orcid":"https://orcid.org/0000-0003-3544-7374"},"institutions":[{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawang Wu","raw_affiliation_strings":["Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China","institution_ids":["https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049177850","display_name":"Yishu Liu","orcid":"https://orcid.org/0000-0003-3586-5197"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yishu Liu","raw_affiliation_strings":["School of Geography, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Geography, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051834357","display_name":"Dongsheng Lv","orcid":"https://orcid.org/0000-0002-1559-3588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongsheng Lv","raw_affiliation_strings":["Department of Psychiatry, Mental Health Institute of Inner Mongolia Autonomous Region, Hohhot, China"],"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Mental Health Institute of Inner Mongolia Autonomous Region, Hohhot, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076013115","display_name":"Lihua Yang","orcid":"https://orcid.org/0000-0003-4294-9233"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Yang","raw_affiliation_strings":["School of Mathematics, Guangdong Provincial Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Guangdong Provincial Key Laboratory of Computational Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016878525"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.8348,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.7394168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"36","issue":"3","first_page":"745","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994000196456909,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9994000196456909,"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/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/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.88199782371521},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6275409460067749},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6107616424560547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6094558238983154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.604788064956665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5383433103561401},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5170798301696777},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.43178096413612366},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.42373350262641907},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3234233260154724},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21670681238174438},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12722325325012207},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10776424407958984}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.88199782371521},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6275409460067749},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6107616424560547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6094558238983154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.604788064956665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5383433103561401},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5170798301696777},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.43178096413612366},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.42373350262641907},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3234233260154724},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21670681238174438},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12722325325012207},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10776424407958984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003865","descriptor_name":"Depressive Disorder, Major","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003865","descriptor_name":"Major Depressive Disorder","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D003865","descriptor_name":"Depressive Disorder, Major","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tmi.2016.2631001","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmi.2016.2631001","pdf_url":null,"source":{"id":"https://openalex.org/S58069681","display_name":"IEEE Transactions on Medical Imaging","issn_l":"0278-0062","issn":["0278-0062","1558-254X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Medical Imaging","raw_type":"journal-article"},{"id":"pmid:27893387","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27893387","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":"IEEE transactions on medical imaging","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6899999976158142}],"awards":[{"id":"https://openalex.org/G1648486920","display_name":null,"funder_award_id":"20130171110016","funder_id":"https://openalex.org/F4320336024","funder_display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China"},{"id":"https://openalex.org/G3214463320","display_name":null,"funder_award_id":"91530117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5393695307","display_name":null,"funder_award_id":"11431015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7723117339","display_name":null,"funder_award_id":"11401112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8933744595","display_name":null,"funder_award_id":"11371017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321588","display_name":"Concordia University","ror":"https://ror.org/0420zvk78"},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W207309682","https://openalex.org/W1563088657","https://openalex.org/W1934567097","https://openalex.org/W1964469261","https://openalex.org/W1976353255","https://openalex.org/W1978161337","https://openalex.org/W1984946761","https://openalex.org/W1985327120","https://openalex.org/W1991933335","https://openalex.org/W2000326397","https://openalex.org/W2003449088","https://openalex.org/W2005821483","https://openalex.org/W2009494091","https://openalex.org/W2012702426","https://openalex.org/W2013115634","https://openalex.org/W2016444985","https://openalex.org/W2025341678","https://openalex.org/W2057550180","https://openalex.org/W2058046532","https://openalex.org/W2059369452","https://openalex.org/W2062544546","https://openalex.org/W2080847728","https://openalex.org/W2087329508","https://openalex.org/W2096052879","https://openalex.org/W2100634972","https://openalex.org/W2112999969","https://openalex.org/W2114613490","https://openalex.org/W2117621792","https://openalex.org/W2120572720","https://openalex.org/W2148939709","https://openalex.org/W2149966221","https://openalex.org/W2158485497","https://openalex.org/W2161502085","https://openalex.org/W2166403493","https://openalex.org/W2168372372","https://openalex.org/W2171673360","https://openalex.org/W2171831801","https://openalex.org/W2198940986","https://openalex.org/W4238398947","https://openalex.org/W4241874243"],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W4252230435","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2364896863","https://openalex.org/W2389189059","https://openalex.org/W4288804231"],"abstract_inverted_index":{"The":[0,137,147],"fMRI":[1],"signals":[2,78],"are":[3,32,51],"usually":[4,52],"filtered":[5],"before":[6],"processing":[7],"and":[8,30,79,88,107,135],"analyzing.":[9],"This":[10],"process":[11,96],"can":[12,156],"result":[13],"in":[14,24,36,67,94,151],"the":[15,21,25,40,45,90,95,115,121,124,132,141,152,180],"loss":[16,91],"of":[17,44,62,76,92,97],"information":[18,93,149],"carried":[19],"by":[20,120,140],"higher":[22],"frequency":[23,27,154],"low":[26,153],"fluctuation.":[28],"ICA":[29,38,106,134],"CCA":[31,58],"two":[33,60],"classical":[34,133],"methods":[35],"fMRI.":[37],"finds":[39],"statistically":[41,85,145],"independent":[42,86],"components":[43,50,72,87,138],"observed":[46],"data,":[47],"however":[48,70],"these":[49,71],"physiologically":[53],"uninterpretable":[54],"without":[55],"auxiliary":[56],"procedures.":[57],"decomposes":[59],"sets":[61],"data":[63,162],"into":[64],"component":[65],"pairs":[66],"some":[68,128],"order,":[69],"may":[73],"be":[74,157],"mixtures":[75],"real":[77],"noise.":[80],"In":[81],"order":[82],"to":[83,113,174,178],"obtain":[84],"avoid":[89],"filtering,":[98],"we":[99],"propose":[100],"a":[101],"mixed":[102],"model":[103,126,143,171],"based":[104],"on":[105,160],"CCA,":[108],"which":[109],"does":[110],"not":[111],"need":[112],"filter":[114],"data.":[116],"It":[117],"is":[118,144,172],"shown":[119],"experiments":[122],"that":[123],"new":[125,142,170],"has":[127],"advantages":[129],"compared":[130],"with":[131,186],"CCA.":[136],"obtained":[139],"independent.":[146],"useful":[148],"included":[150],"fluctuation":[155],"preserved.":[158],"Experiments":[159],"synthetic":[161],"show":[163],"satisfying":[164],"results.":[165,189],"As":[166],"an":[167,176],"application,":[168],"this":[169],"used":[173],"design":[175],"algorithm":[177],"discriminate":[179],"major":[181],"depressions":[182],"from":[183],"normal":[184],"controls,":[185],"encouraging":[187],"experimental":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
