{"id":"https://openalex.org/W7081962351","doi":"https://doi.org/10.1109/access.2025.3609684","title":"Brain Age Estimation: A Multi-Region Approach Using Groupwise Registration and 3D Shape Contexts Derived from Displacement Vector Fields","display_name":"Brain Age Estimation: A Multi-Region Approach Using Groupwise Registration and 3D Shape Contexts Derived from Displacement Vector Fields","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7081962351","doi":"https://doi.org/10.1109/access.2025.3609684"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3609684","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3609684","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3609684","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Leandro P. Andrade","orcid":"https://orcid.org/0000-0001-9405-906X"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Leandro P. Andrade","raw_affiliation_strings":["Department of Computing, Federal University of São Carlos, Washington Luis Rd., Km 235, São Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Federal University of São Carlos, Washington Luis Rd., Km 235, São Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Marco A. Bernardi Grivol","orcid":"https://orcid.org/0009-0003-6090-049X"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marco A. Bernardi Grivol","raw_affiliation_strings":["Department of Computing, Federal University of São Carlos, Washington Luis Rd., Km 235, São Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Federal University of São Carlos, Washington Luis Rd., Km 235, São Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mario A. S. Lizi\u00e9r","orcid":"https://orcid.org/0000-0001-9123-5822"},"institutions":[{"id":"https://openalex.org/I4210119971","display_name":"Universidade de Sorocaba","ror":"https://ror.org/02hnvfm11","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210119971"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mario A. S. Lizi\u00e9r","raw_affiliation_strings":["Department of Computing at Sorocaba, Federal University of São Carlos, João Leme dos Santos Rd., Km 110, Sorocaba, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing at Sorocaba, Federal University of São Carlos, João Leme dos Santos Rd., Km 110, Sorocaba, SP, Brazil","institution_ids":["https://openalex.org/I4210119971"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Roger Tam","orcid":"https://orcid.org/0000-0002-4593-2587"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Roger Tam","raw_affiliation_strings":["School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":null,"display_name":"Ricardo J. Ferrari","orcid":"https://orcid.org/0000-0003-1197-2553"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo J. Ferrari","raw_affiliation_strings":["Department of Computing, Federal University of São Carlos, Washington Luis Rd., Km 235, São Carlos, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Federal University of São Carlos, Washington Luis Rd., Km 235, São Carlos, SP, Brazil","institution_ids":["https://openalex.org/I177909021"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177909021"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61224105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.6996999979019165,"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/T13067","display_name":"Geological Modeling and Analysis","score":0.027300000190734863,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14311","display_name":"Electrical and Electromagnetic Research","score":0.01600000075995922,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.6111999750137329},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.578499972820282},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5196999907493591},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4966000020503998},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.44440001249313354},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4361000061035156},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41449999809265137},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.40139999985694885},{"id":"https://openalex.org/keywords/brain-aging","display_name":"Brain aging","score":0.3840000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582000255584717},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.6111999750137329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6097000241279602},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.578499972820282},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5196999907493591},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4966000020503998},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4361000061035156},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40209999680519104},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.40139999985694885},{"id":"https://openalex.org/C2993665655","wikidata":"https://www.wikidata.org/wiki/Q4692577","display_name":"Brain aging","level":3,"score":0.3840000033378601},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.38179999589920044},{"id":"https://openalex.org/C3017819807","wikidata":"https://www.wikidata.org/wiki/Q332154","display_name":"Healthy aging","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C2777670902","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Human brain","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.3167000114917755},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29260000586509705},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C2986936838","wikidata":"https://www.wikidata.org/wiki/Q492038","display_name":"Brain tissue","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.26190000772476196},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C145940234","wikidata":"https://www.wikidata.org/wiki/Q4955830","display_name":"Brain morphometry","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C2991673738","wikidata":"https://www.wikidata.org/wiki/Q5062122","display_name":"Brain disease","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3609684","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3609684","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f493fa821b4d44b09bc9f9fa49e0ddc4","is_oa":true,"landing_page_url":"https://doaj.org/article/f493fa821b4d44b09bc9f9fa49e0ddc4","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 163966-163981 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3609684","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3609684","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4019283318","display_name":null,"funder_award_id":"2023/08307-0","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Brain":[0],"age":[1,56],"estimation":[2,57],"has":[3],"emerged":[4],"as":[5,44],"a":[6,60,108,142,208,235],"crucial":[7],"biomarker":[8],"for":[9,26,54,167,189,237],"quantifying":[10],"inter-individual":[11],"variability":[12],"in":[13,103,131,245],"brain":[14,39,55,105,217],"aging":[15,40,231],"and":[16,75,117,169,213,241],"identifying":[17],"risks":[18],"of":[19,29,47,81,147,216,230],"cognitive":[20],"decline.":[21],"This":[22],"is":[23],"particularly":[24],"relevant":[25],"the":[27,79,94,132,222,227],"study":[28],"neurodegenerative":[30,246],"conditions":[31],"like":[32],"Alzheimer\u2019s":[33],"disease,":[34],"where":[35],"deviations":[36,92],"from":[37,93,127,207],"normal":[38,129],"patterns":[41],"can":[42],"serve":[43],"early":[45,238],"indicators":[46],"pathology.":[48],"We":[49],"introduce":[50],"an":[51],"interpretable":[52],"framework":[53,223],"that":[58,88,201],"adopts":[59],"multi-region":[61,139],"perspective":[62],"to":[63,72,113],"capture":[64],"heterogeneous":[65],"neuroanatomical":[66],"changes.":[67],"Groupwise":[68],"registration":[69],"was":[70,120],"employed":[71],"construct":[73],"sex-":[74],"age-stratified":[76],"templates,":[77],"enabling":[78],"computation":[80],"anatomically":[82],"meaningful":[83],"displacement":[84,115],"vector":[85],"fields":[86],"(DVFs)":[87],"characterize":[89],"voxel-wise":[90],"structural":[91],"population":[95],"average.":[96],"From":[97],"these":[98],"DVFs,":[99],"features":[100],"were":[101],"extracted":[102],"fifteen":[104],"regions":[106],"using":[107],"3D":[109],"shape":[110],"context":[111],"descriptor":[112],"encode":[114],"direction":[116],"magnitude.":[118],"Validation":[119],"performed":[121],"on":[122],"1,956":[123],"T1-weighted":[124],"MRI":[125],"scans":[126],"cognitively":[128],"individuals":[130],"ADNI":[133],"dataset":[134],"(ages":[135],"60\u201390).":[136],"The":[137],"combined":[138],"model":[140],"achieved":[141],"mean":[143],"absolute":[144],"error":[145],"(MAE)":[146],"":[150,159,172,181],"$1.66":[152],"\\pm":[153,164,175,186],"0.15$":[154],"":[155,177],"years":[156,178],"($R^{2}":[161,183],"=":[162,184],"0.84":[163],"0.05$":[165],")":[166,188],"males":[168],"notation=\"LaTeX\">$1.81":[174],"0.12$":[176],"0.80":[185],"0.04$":[187],"females,":[190],"significantly":[191],"outperforming":[192],"many":[193],"contemporary":[194],"deep":[195],"learning":[196],"models.":[197],"These":[198],"findings":[199],"demonstrate":[200],"biologically":[202],"interpretable,":[203],"registration-derived":[204],"features\u2014when":[205],"analyzed":[206],"multi-regional":[209],"perspective\u2014can":[210],"yield":[211],"robust":[212],"accurate":[214],"estimates":[215],"age.":[218],"Beyond":[219],"predictive":[220],"accuracy,":[221],"provides":[224],"insights":[225],"into":[226],"regional":[228],"specificity":[229],"processes,":[232],"thereby":[233],"offering":[234],"foundation":[236],"detection":[239],"strategies":[240],"targeted":[242],"clinical":[243],"applications":[244],"disease":[247],"research.":[248]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}