{"id":"https://openalex.org/W2023673306","doi":"https://doi.org/10.1109/cvpr.2011.5995689","title":"Hierarchical anatomical brain networks for MCI prediction by partial least square analysis","display_name":"Hierarchical anatomical brain networks for MCI prediction by partial least square analysis","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2023673306","doi":"https://doi.org/10.1109/cvpr.2011.5995689","mag":"2023673306"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100643784","display_name":"Luping Zhou","orcid":"https://orcid.org/0000-0001-8762-2424"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Luping Zhou","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, US","University of North Carolina at Chapel Hill, U.S.A"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, US","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, U.S.A","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455011","display_name":"Yaping Wang","orcid":"https://orcid.org/0000-0002-2494-9072"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaping Wang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, Shaanxi, CN","Northwestern Polytechnical University China"],"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, Shaanxi, CN","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Northwestern Polytechnical University China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100421442","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-1751-1742"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, US","University of North Carolina at Chapel Hill, U.S.A"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, US","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, U.S.A","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015071060","display_name":"Pew\u2010Thian Yap","orcid":"https://orcid.org/0000-0003-1489-2102"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pew-Thian Yap","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, US","University of North Carolina at Chapel Hill, U.S.A"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, US","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, U.S.A","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang Shen","orcid":"https://orcid.org/0000-0002-7934-5698"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, US","University of North Carolina at Chapel Hill, U.S.A"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, US","institution_ids":["https://openalex.org/I114027177"]},{"raw_affiliation_string":"University of North Carolina at Chapel Hill, U.S.A","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034809113","display_name":"ADNI ADNI","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adni","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100643784"],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.4121,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6114852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"3940","issue":null,"first_page":"1073","last_page":"1080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","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"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","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"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9990000128746033,"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/discriminative-model","display_name":"Discriminative model","score":0.7460112571716309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7405983209609985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6793258190155029},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6705909967422485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6478080153465271},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5671018958091736},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4738110601902008},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4321499764919281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3842499256134033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3638102412223816}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7460112571716309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7405983209609985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6793258190155029},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6705909967422485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6478080153465271},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5671018958091736},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4738110601902008},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4321499764919281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3842499256134033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3638102412223816},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2011.5995689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1519178192","https://openalex.org/W1637967792","https://openalex.org/W1979426401","https://openalex.org/W1988727472","https://openalex.org/W2031297131","https://openalex.org/W2061204055","https://openalex.org/W2078524519","https://openalex.org/W2113588440","https://openalex.org/W2115424422","https://openalex.org/W2123225824","https://openalex.org/W2137225583","https://openalex.org/W2143426320","https://openalex.org/W2153171432","https://openalex.org/W2889574304","https://openalex.org/W2953300457","https://openalex.org/W6631126248"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2521627374","https://openalex.org/W1996690921"],"abstract_inverted_index":{"Owning":[0],"to":[1,65,103,151,157,184],"its":[2],"clinical":[3],"accessibility,":[4],"T1-weighted":[5,185],"MRI":[6],"has":[7],"been":[8],"extensively":[9],"studied":[10],"for":[11,37,73,82,133],"the":[12,32,68,105,139,142,154,163,187],"prediction":[13,188],"of":[14,26,107,120,141,190],"mild":[15],"cognitive":[16],"impairment":[17],"(MCI)":[18],"and":[19,29,39,91],"Alzheimer's":[20],"disease":[21],"(AD).":[22],"The":[23],"tissue":[24],"volumes":[25],"GM,":[27],"WM":[28],"CSF":[30],"are":[31],"most":[33],"commonly":[34],"used":[35,132],"measures":[36],"MCI":[38,74,191],"AD":[40],"prediction.":[41,75],"We":[42],"note":[43],"that":[44,176],"disease-induced":[45],"structural":[46],"changes":[47],"may":[48],"not":[49],"happen":[50],"at":[51,162],"isolated":[52],"spots,":[53],"but":[54],"in":[55,60,129,182],"several":[56],"inter-related":[57],"regions.":[58],"Therefore,":[59],"this":[61],"paper":[62],"we":[63,145],"propose":[64],"directly":[66],"extract":[67],"inter-region":[69],"connectivity":[70],"based":[71,137],"features":[72],"This":[76,97],"involves":[77],"constructing":[78],"a":[79,116,158],"brain":[80],"network":[81,98,143],"each":[83,86,92],"subject,":[84],"with":[85,110],"node":[87],"representing":[88,94],"an":[89],"ROI":[90],"edge":[93],"regional":[95],"interactions.":[96],"is":[99,192],"also":[100],"built":[101],"hierarchically":[102],"improve":[104],"robustness":[106],"classification.":[108],"Compared":[109],"conventional":[111],"methods,":[112],"our":[113],"approach":[114],"produces":[115],"significant":[117],"larger":[118],"pool":[119],"features,":[121,144],"which":[122],"if":[123],"improperly":[124],"dealt":[125],"with,":[126],"will":[127],"result":[128],"intractability":[130],"when":[131],"classifier":[134],"training.":[135],"Therefore":[136],"on":[138],"characteristics":[140],"employ":[146],"Partial":[147],"Least":[148],"Square":[149],"analysis":[150],"efficiently":[152],"reduce":[153],"feature":[155],"dimensionality":[156],"manageable":[159],"level":[160],"while":[161],"same":[164],"time":[165],"preserving":[166],"discriminative":[167],"information":[168,181],"as":[169,171],"much":[170],"possible.":[172],"Our":[173],"experiment":[174],"demonstrates":[175],"without":[177],"requiring":[178],"any":[179],"new":[180],"addition":[183],"images,":[186],"accuracy":[189],"statistically":[193],"improved.":[194]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
