{"id":"https://openalex.org/W2056382600","doi":"https://doi.org/10.1109/bmei.2012.6512958","title":"Applying spatial covariance modeling on cortical thickness measurement","display_name":"Applying spatial covariance modeling on cortical thickness measurement","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2056382600","doi":"https://doi.org/10.1109/bmei.2012.6512958","mag":"2056382600"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6512958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","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/A5081758373","display_name":"Lan Lin","orcid":"https://orcid.org/0000-0002-3431-2753"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lan Lin","raw_affiliation_strings":["College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China","Coll. of Life Sci. & Bioeng. Beijing, Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Life Sci. & Bioeng. Beijing, Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063947852","display_name":"Shuicai Wu","orcid":"https://orcid.org/0000-0002-8027-9499"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuicai Wu","raw_affiliation_strings":["College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China","Coll. of Life Sci. & Bioeng. Beijing, Univ. of Technol., Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Life Science and Bioengineering, Beijing University of Technology, Beijing, 100022, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Coll. of Life Sci. & Bioeng. Beijing, Univ. of Technol., Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081758373"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17123404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9847000241279602,"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":0.9829999804496765,"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/univariate","display_name":"Univariate","score":0.8029210567474365},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.798126220703125},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6441000699996948},{"id":"https://openalex.org/keywords/analysis-of-covariance","display_name":"Analysis of covariance","score":0.5369911193847656},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4733562469482422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4572976529598236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44851309061050415},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4444602131843567},{"id":"https://openalex.org/keywords/human-brain","display_name":"Human brain","score":0.4364428222179413},{"id":"https://openalex.org/keywords/analysis-of-variance","display_name":"Analysis of variance","score":0.42207399010658264},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.35853511095046997},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3259645998477936},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.30034664273262024},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.29817554354667664},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2406611442565918},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23643341660499573}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.8029210567474365},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.798126220703125},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6441000699996948},{"id":"https://openalex.org/C119340705","wikidata":"https://www.wikidata.org/wiki/Q1628597","display_name":"Analysis of covariance","level":2,"score":0.5369911193847656},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4733562469482422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4572976529598236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44851309061050415},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4444602131843567},{"id":"https://openalex.org/C2777670902","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Human brain","level":2,"score":0.4364428222179413},{"id":"https://openalex.org/C99476002","wikidata":"https://www.wikidata.org/wiki/Q42297","display_name":"Analysis of variance","level":2,"score":0.42207399010658264},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.35853511095046997},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3259645998477936},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.30034664273262024},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29817554354667664},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2406611442565918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23643341660499573},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2012.6512958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th International Conference on BioMedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"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/W1540637463","https://openalex.org/W1964409205","https://openalex.org/W1965144006","https://openalex.org/W1976899564","https://openalex.org/W1983355263","https://openalex.org/W1995945562","https://openalex.org/W1998995153","https://openalex.org/W2003690991","https://openalex.org/W2024782313","https://openalex.org/W2035079822","https://openalex.org/W2081882407","https://openalex.org/W2090323225","https://openalex.org/W2094907104","https://openalex.org/W2113319997","https://openalex.org/W2151721316","https://openalex.org/W2478738321"],"related_works":["https://openalex.org/W2978849696","https://openalex.org/W1514528489","https://openalex.org/W4385587228","https://openalex.org/W2042351583","https://openalex.org/W2110051888","https://openalex.org/W4241273519","https://openalex.org/W4244400735","https://openalex.org/W1990761108","https://openalex.org/W2059066993","https://openalex.org/W2383820648"],"abstract_inverted_index":{"In":[0],"neuroimaging":[1],"studies":[2],"of":[3,11,17,55,71,103],"human":[4,12],"cognitive":[5],"abilities,":[6],"in":[7,52,64],"vivo":[8],"MRI-derived":[9],"measurements":[10],"cerebral":[13],"cortex":[14],"thickness":[15,78],"are":[16],"particular":[18],"interest,":[19],"but":[20,107],"those":[21],"data":[22],"typically":[23],"use":[24],"univariate":[25],"analyses":[26],"that":[27,96],"do":[28],"not":[29,99],"explicitly":[30],"test":[31],"the":[32,38,110],"interrelationship":[33],"among":[34],"brain":[35],"regions.":[36],"Among":[37],"existing":[39],"spatial":[40,73],"covariance":[41,74],"models,":[42],"Scaled":[43],"Subprofile":[44],"Model":[45],"(SSM)":[46],"has":[47],"been":[48],"highly":[49],"successful,":[50],"particularly":[51],"capturing":[53],"sources":[54],"between":[56,105],"and":[57,89],"within":[58],"group":[59,62,88],"variance,":[60],"identifying":[61],"differences":[63],"regional":[65],"network.":[66],"Current":[67],"article":[68],"describes":[69],"feasibility":[70],"applying":[72],"models":[75],"on":[76],"cortical":[77],"map,":[79],"followed":[80],"by":[81],"an":[82],"application":[83],"to":[84,112],"discriminate":[85],"normal":[86],"control":[87],"Alzheimer":[90],"disease":[91],"group.":[92],"The":[93],"results":[94],"showed":[95],"SSM":[97],"can":[98],"only":[100],"capture":[101],"patterns":[102],"difference":[104],"groups":[106],"also":[108],"summarize":[109],"degree":[111],"which":[113],"individual":[114],"subjects":[115],"express":[116],"anatomical":[117],"topography.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}