{"id":"https://openalex.org/W193301397","doi":null,"title":"Regularized Functional Regression Models with Applications to Brain Imaging.","display_name":"Regularized Functional Regression Models with Applications to Brain Imaging.","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W193301397","mag":"193301397"},"language":"en","primary_location":{"id":"mag:193301397","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/99975","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2027.42/99975","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056560623","display_name":"Wang Xuejing","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang Xuejing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5056560623"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.31839999556541443,"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":0.31839999556541443,"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/T10009","display_name":"Dementia and Cognitive Impairment Research","score":0.29660001397132874,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.14949999749660492,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/haar-wavelet","display_name":"Haar wavelet","score":0.9490000009536743},{"id":"https://openalex.org/keywords/positron-emission-tomography","display_name":"positron emission tomography","score":0.890999972820282},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"neuroimaging","score":0.8859999775886536},{"id":"https://openalex.org/keywords/alzheimer-s-disease","display_name":"Alzheimer's disease","score":0.9929999709129333},{"id":"https://openalex.org/keywords/mild-cognitive-impairment","display_name":"mild cognitive impairment","score":0.9819999933242798},{"id":"https://openalex.org/keywords/lasso-penalty","display_name":"lasso penalty","score":0.5649999976158142},{"id":"https://openalex.org/keywords/voxel-selection","display_name":"voxel selection","score":0.6520000100135803},{"id":"https://openalex.org/keywords/adni","display_name":"ADNI","score":0.5740000009536743}],"concepts":[{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5424012541770935},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.4291055500507355},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4274931252002716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.406444787979126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3767740726470947},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3086221218109131},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25518977642059326},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.236440509557724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22900894284248352},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2225508987903595}],"mesh":[],"locations_count":3,"locations":[{"id":"mag:193301397","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/99975","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null},{"id":"pmh:oai:deepblue.lib.umich.edu:2027.42/99975","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/99975","pdf_url":"https://hdl.handle.net/2027.42/99975","source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"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":"Thesis"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.950.6431","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.950.6431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://deepblue.lib.umich.edu/bitstream/handle/2027.42/99975/xuejwang_1.pdf%3Bjsessionid%3D90388193421D2B1B09BDC115B8CD9167?sequence%3D1","raw_type":"text"}],"best_oa_location":{"id":"mag:193301397","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/2027.42/99975","pdf_url":null,"source":{"id":"https://openalex.org/S4306400393","display_name":"Deep Blue (University of Michigan)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I27837315","host_organization_name":"University of Michigan","host_organization_lineage":["https://openalex.org/I27837315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Deep Blue (University of Michigan)","raw_type":null},"sustainable_development_goals":[{"score":0.7246000170707703,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W193301397.pdf","grobid_xml":"https://content.openalex.org/works/W193301397.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W3219084","https://openalex.org/W113475142","https://openalex.org/W403935824","https://openalex.org/W1497745584","https://openalex.org/W1522806115","https://openalex.org/W1554944419","https://openalex.org/W1595210656","https://openalex.org/W1770825568","https://openalex.org/W1987011701","https://openalex.org/W1987371344","https://openalex.org/W1991880148","https://openalex.org/W1992054897","https://openalex.org/W1994101925","https://openalex.org/W1995691260","https://openalex.org/W1996093516","https://openalex.org/W1998396170","https://openalex.org/W2009872941","https://openalex.org/W2010498655","https://openalex.org/W2016228161","https://openalex.org/W2017285160","https://openalex.org/W2020925091","https://openalex.org/W2025984697","https://openalex.org/W2033322043","https://openalex.org/W2039374652","https://openalex.org/W2042795487","https://openalex.org/W2048050362","https://openalex.org/W2056105973","https://openalex.org/W2056636001","https://openalex.org/W2058106272","https://openalex.org/W2072748068","https://openalex.org/W2074682976","https://openalex.org/W2074925665","https://openalex.org/W2079674878","https://openalex.org/W2084397926","https://openalex.org/W2086724838","https://openalex.org/W2094730477","https://openalex.org/W2101282194","https://openalex.org/W2101670636","https://openalex.org/W2102508963","https://openalex.org/W2102760656","https://openalex.org/W2105843706","https://openalex.org/W2113103640","https://openalex.org/W2114953476","https://openalex.org/W2115706991","https://openalex.org/W2116581043","https://openalex.org/W2122825543","https://openalex.org/W2125045513","https://openalex.org/W2132984323","https://openalex.org/W2133488570","https://openalex.org/W2135046866","https://openalex.org/W2135346934","https://openalex.org/W2136606130","https://openalex.org/W2138790588","https://openalex.org/W2140899075","https://openalex.org/W2141214264","https://openalex.org/W2141408870","https://openalex.org/W2142287887","https://openalex.org/W2144631174","https://openalex.org/W2146272386","https://openalex.org/W2150300328","https://openalex.org/W2152250106","https://openalex.org/W2153675946","https://openalex.org/W2155164847","https://openalex.org/W2158971209","https://openalex.org/W2160034813","https://openalex.org/W2160813944","https://openalex.org/W2165840723","https://openalex.org/W2166379450","https://openalex.org/W2171380313","https://openalex.org/W2312397341","https://openalex.org/W2410184066","https://openalex.org/W2494169975","https://openalex.org/W3105543546","https://openalex.org/W3137136951","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2735296299","https://openalex.org/W2044788288","https://openalex.org/W7033592521","https://openalex.org/W2083534979","https://openalex.org/W4412933226","https://openalex.org/W2415319294","https://openalex.org/W1998876644","https://openalex.org/W2107564884","https://openalex.org/W7101180421","https://openalex.org/W1689638688"],"abstract_inverted_index":{"Positron":[0],"emission":[1],"tomography":[2],"(PET)":[3],"is":[4,68,207,257,270],"an":[5],"imaging":[6,48,60,99],"technique":[7],"that":[8,33,143,230,324],"provides":[9],"useful":[10],"information":[11,58],"about":[12],"brain":[13,31,47,98,147],"metabolism":[14],"to":[15,28,64,69,133,209,262,272,330],"help":[16],"clinicians":[17],"in":[18,59,346],"the":[19,30,44,95,129,135,140,158,211,234,260,264,273,312,325,334],"early":[20],"diagnosis":[21],"of":[22,46,52,76,97,179,275],"Alzheimer's":[23,159],"disease":[24],"(AD).":[25],"In":[26],"order":[27],"identify":[29,134,263,333],"areas":[32,148],"show":[34],"significant":[35],"signals,":[36],"many":[37],"statistical":[38],"methods":[39,310,345],"have":[40],"been":[41],"developed":[42],"for":[43,56,94,177,233,311],"analysis":[45,96],"data.":[49,61,320],"However,":[50],"most":[51,136,265],"them":[53],"neglect":[54],"accounting":[55],"spatial":[57],"One":[62],"way":[63],"address":[65],"this":[66],"problem":[67],"treat":[70],"each":[71,248],"image":[72,119],"as":[73,120,128,250],"a":[74,77,108,121,145,169,222,251],"realization":[75],"functional":[78,88,112,123,173,226],"predictor.":[79],"This":[80,268],"dissertation":[81],"includes":[82],"three":[83,190],"research":[84],"projects":[85],"concerning":[86],"regularized":[87,223],"regression":[89,114,175,228],"models":[90,287,327],"via":[91],"Haar":[92],"wavelets":[93],"data,":[100],"particularly":[101],"PET":[102,118,153,180,216,283,305],"images.":[103,217,284,306],"The":[104,152,165,205,218,321],"first":[105],"project":[106,167,220],"develops":[107,221],"lasso":[109,170],"penalized":[110,171],"3D":[111,122,172,224],"linear":[113],"model":[115,176,206,229,269],"by":[116],"viewing":[117],"predictor":[124],"and":[125,201,254,300],"cognitive":[126],"impairment":[127],"response":[130],"variable,":[131],"aiming":[132],"predictive":[137,266,335],"voxels":[138],"with":[139,308],"underlying":[141],"assumption":[142],"only":[144,332],"few":[146],"are":[149,155,288,295,315,328],"truly":[150],"predictive.":[151],"images":[154,181],"obtained":[156],"from":[157,182,303],"Disease":[160],"Neuroimaging":[161],"Initiative":[162],"(ADNI)":[163],"database.":[164,184],"second":[166],"concerns":[168],"logistic":[174,227],"classification":[178],"ADNI":[183,185,279,304,319],"participants":[186],"were":[187],"classified":[188],"into":[189,244,259],"groups":[191],"during":[192],"their":[193],"initial":[194],"visits:":[195],"AD,":[196],"Mild":[197],"Cognitive":[198],"Impairment":[199],"(MCI)":[200],"Normal":[202],"Control":[203],"(NC).":[204],"applied":[208,271],"all":[210],"pairwise":[212],"classifications":[213],"using":[214,278,318],"baseline":[215,282],"third":[219],"multiple":[225,245],"can":[231,241],"account":[232],"group":[235],"structure":[236],"among":[237],"voxels.":[238,267],"Cerebral":[239],"cortex":[240],"be":[242],"partitioned":[243],"regions.":[246],"Treating":[247],"region":[249],"group,":[252],"within-group":[253],"groupwise":[255],"regularization":[256],"imposed":[258],"estimation":[261],"prediction":[274,313,341],"MCI-to-AD":[276],"conversion":[277],"MCI":[280],"subjects\u2019":[281],"All":[285],"proposed":[286,326],"evaluated":[289],"through":[290],"extensive":[291],"simulation":[292],"studies":[293],"which":[294],"based":[296],"on":[297],"simulated":[298],"data":[299],"slices":[301],"extracted":[302],"Comparisons":[307],"existing":[309,344],"performance":[314],"also":[316,338],"conducted":[317],"results":[322],"suggest":[323],"able":[329],"not":[331],"voxels,":[336],"but":[337],"achieve":[339],"higher":[340],"accuracy":[342],"than":[343],"general.":[347]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}