{"id":"https://openalex.org/W1857106653","doi":"https://doi.org/10.1109/biocas.2014.6981664","title":"Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging","display_name":"Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1857106653","doi":"https://doi.org/10.1109/biocas.2014.6981664","mag":"1857106653"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2014.6981664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1405.5260","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Cheol E. Han","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Cheol E. Han","raw_affiliation_strings":["Department of Biomedical Engineering, Korea University, Republic of Korea (South Korea)","Department of Brain Cognitive Sciences, Seoul National University, Republic of Korea (South Korea)"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Korea University, Republic of Korea (South Korea)","institution_ids":["https://openalex.org/I197347611"]},{"raw_affiliation_string":"Department of Brain Cognitive Sciences, Seoul National University, Republic of Korea (South Korea)","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Luis R. Peraza","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Luis R. Peraza","raw_affiliation_strings":["Institute of Neuroscience, Newcastle University, UK"],"affiliations":[{"raw_affiliation_string":"Institute of Neuroscience, Newcastle University, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"middle","author":{"id":null,"display_name":"John-Paul Taylor","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John-Paul Taylor","raw_affiliation_strings":["Institute of Neuroscience, Newcastle University, UK"],"affiliations":[{"raw_affiliation_string":"Institute of Neuroscience, Newcastle University, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":null,"display_name":"Marcus Kaiser","orcid":null},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB","KR"],"is_corresponding":false,"raw_author_name":"Marcus Kaiser","raw_affiliation_strings":["Department of Brain Cognitive Sciences, Seoul National University, Republic of Korea (South Korea)","School of Computing Science, Newcastle University, UK"],"affiliations":[{"raw_affiliation_string":"Department of Brain Cognitive Sciences, Seoul National University, Republic of Korea (South Korea)","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"School of Computing Science, Newcastle University, UK","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467","https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.8049,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73211949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"81","issue":null,"first_page":"137","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":1.0,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9990000128746033,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9918000102043152,"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/diffusion-mri","display_name":"Diffusion MRI","score":0.7558000087738037},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.6236000061035156},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.6157000064849854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4869000017642975},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4154999852180481},{"id":"https://openalex.org/keywords/tractography","display_name":"Tractography","score":0.4083000123500824},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.40700000524520874}],"concepts":[{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.7558000087738037},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.6236000061035156},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6157000064849854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4885999858379364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4869000017642975},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.413100004196167},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.4083000123500824},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.36980000138282776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3580000102519989},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C101433766","wikidata":"https://www.wikidata.org/wiki/Q3543263","display_name":"Maturity (psychological)","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.30709999799728394},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2615000009536743}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/biocas.2014.6981664","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2014.6981664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1405.5260","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1405.5260","pdf_url":"https://arxiv.org/pdf/1405.5260","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1405.5260","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1405.5260","pdf_url":"https://arxiv.org/pdf/1405.5260","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2503540608","display_name":null,"funder_award_id":"EP/K026992/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1983906797","https://openalex.org/W1985168009","https://openalex.org/W1985932255","https://openalex.org/W1991771709","https://openalex.org/W2051613387","https://openalex.org/W2057713020","https://openalex.org/W2063404606","https://openalex.org/W2101328227","https://openalex.org/W2113127248","https://openalex.org/W2116967320","https://openalex.org/W2119980272","https://openalex.org/W2127570755","https://openalex.org/W2128314959","https://openalex.org/W2131181615","https://openalex.org/W2142681605","https://openalex.org/W2162216944","https://openalex.org/W2165985389","https://openalex.org/W2166446427","https://openalex.org/W6680532697"],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"brain":[1],"maturity":[2],"using":[3,109],"noninvasive":[4],"magnetic":[5],"resonance":[6],"images":[7],"(MRI)":[8],"can":[9],"distinguish":[10],"different":[11],"age":[12,41,144],"groups":[13],"and":[14,95],"help":[15],"to":[16,38,118],"assess":[17],"neurodevelopmental":[18],"disorders.":[19],"However,":[20],"group-wise":[21],"differences":[22],"are":[23,72,87],"often":[24],"less":[25],"informative":[26],"for":[27,78],"assessing":[28],"features":[29],"of":[30,42,64,67,75],"individuals.":[31],"Here,":[32],"we":[33],"propose":[34],"a":[35,61,125,136],"simple":[36,58],"method":[37],"predict":[39],"the":[40,73,98,132],"an":[43,68,79],"individual":[44],"subject":[45],"solely":[46],"based":[47],"on":[48,147],"structural":[49],"connectivity":[50],"data":[51,111],"from":[52,112],"diffusion":[53],"tensor":[54],"imaging":[55],"(DTI).":[56],"Our":[57],"predictor":[59,100],"computes":[60],"weighted":[62],"sum":[63],"connection":[65,77,93],"strengths":[66],"individual,":[69],"where":[70],"weights":[71,86],"importance":[74,123],"that":[76],"observed":[80],"feature-age":[81],"in":[82,124,131],"this":[83,107],"case.":[84],"The":[85],"simply":[88],"determined":[89],"through":[90],"correlations":[91],"between":[92],"strength":[94],"age;":[96],"thus":[97],"proposed":[99],"requires":[101],"no":[102],"parameter":[103],"tuning.":[104],"We":[105],"tested":[106],"approach":[108],"DTI":[110],"201":[113],"healthy":[114],"subjects":[115],"aged":[116],"4":[117],"85":[119],"years.":[120,152],"After":[121],"determining":[122],"training":[126],"dataset,":[127],"our":[128],"predicted":[129],"ages":[130],"test":[133],"dataset":[134],"showed":[135],"strong":[137],"correlation":[138],"(r":[139],"=":[140],"0.79)":[141],"with":[142],"real":[143],"deviating":[145],"by,":[146],"average,":[148],"only":[149],"about":[150],"9":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}