{"id":"https://openalex.org/W2023664167","doi":"https://doi.org/10.1117/12.2082346","title":"Joint brain connectivity estimation from diffusion and functional MRI data","display_name":"Joint brain connectivity estimation from diffusion and functional MRI data","publication_year":2015,"publication_date":"2015-03-20","ids":{"openalex":"https://openalex.org/W2023664167","doi":"https://doi.org/10.1117/12.2082346","mag":"2023664167"},"language":"en","primary_location":{"id":"doi:10.1117/12.2082346","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082346","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014228259","display_name":"Shu-Hsien Chu","orcid":"https://orcid.org/0000-0002-1585-4135"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shu-Hsien Chu","raw_affiliation_strings":["Univ. of Minnesota (United States)","University of Minnesota, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Minnesota (United States)","institution_ids":["https://openalex.org/I2800403580"]},{"raw_affiliation_string":"University of Minnesota, United States","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069089076","display_name":"Christophe Lenglet","orcid":"https://orcid.org/0000-0003-4646-3185"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christophe Lenglet","raw_affiliation_strings":["Univ. of Minnesota (United States)","University of Minnesota, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Minnesota (United States)","institution_ids":["https://openalex.org/I2800403580"]},{"raw_affiliation_string":"University of Minnesota, United States","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007884053","display_name":"Keshab K. Parhi","orcid":"https://orcid.org/0000-0001-6543-2793"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Keshab K. Parhi","raw_affiliation_strings":["Univ. of Minnesota (United States)","University of Minnesota, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Minnesota (United States)","institution_ids":["https://openalex.org/I2800403580"]},{"raw_affiliation_string":"University of Minnesota, United States","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":2.0509,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84726763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9413","issue":null,"first_page":"941321","last_page":"941321"},"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":0.9998999834060669,"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":0.9998000264167786,"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/computer-science","display_name":"Computer science","score":0.7470245361328125},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.6037869453430176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.546345591545105},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.49578484892845154},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.4908612370491028},{"id":"https://openalex.org/keywords/white-matter","display_name":"White matter","score":0.4901314675807953},{"id":"https://openalex.org/keywords/human-connectome-project","display_name":"Human Connectome Project","score":0.4789224863052368},{"id":"https://openalex.org/keywords/tractography","display_name":"Tractography","score":0.4618579149246216},{"id":"https://openalex.org/keywords/connectome","display_name":"Connectome","score":0.45730406045913696},{"id":"https://openalex.org/keywords/connectomics","display_name":"Connectomics","score":0.43403488397598267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4054945111274719},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.4049341082572937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34146690368652344},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.14346671104431152},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.12702462077140808},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11611494421958923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7470245361328125},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.6037869453430176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.546345591545105},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.49578484892845154},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.4908612370491028},{"id":"https://openalex.org/C2781192897","wikidata":"https://www.wikidata.org/wiki/Q822050","display_name":"White matter","level":3,"score":0.4901314675807953},{"id":"https://openalex.org/C97820695","wikidata":"https://www.wikidata.org/wiki/Q387749","display_name":"Human Connectome Project","level":3,"score":0.4789224863052368},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.4618579149246216},{"id":"https://openalex.org/C45715564","wikidata":"https://www.wikidata.org/wiki/Q1292103","display_name":"Connectome","level":3,"score":0.45730406045913696},{"id":"https://openalex.org/C2779097318","wikidata":"https://www.wikidata.org/wiki/Q2993446","display_name":"Connectomics","level":4,"score":0.43403488397598267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4054945111274719},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4049341082572937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34146690368652344},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.14346671104431152},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.12702462077140808},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11611494421958923},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2082346","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2082346","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W212537071","https://openalex.org/W1747101780","https://openalex.org/W1965173583","https://openalex.org/W1971283401","https://openalex.org/W1974508089","https://openalex.org/W1979757232","https://openalex.org/W1983208069","https://openalex.org/W1983523765","https://openalex.org/W1984943593","https://openalex.org/W1999816351","https://openalex.org/W2003095405","https://openalex.org/W2005821483","https://openalex.org/W2020519533","https://openalex.org/W2024729467","https://openalex.org/W2048631316","https://openalex.org/W2053759320","https://openalex.org/W2057504626","https://openalex.org/W2078152479","https://openalex.org/W2083525891","https://openalex.org/W2114809469","https://openalex.org/W2115424422","https://openalex.org/W2117621792","https://openalex.org/W2124953625","https://openalex.org/W2131181615","https://openalex.org/W2143661428","https://openalex.org/W2144427015","https://openalex.org/W2152556184","https://openalex.org/W2157106546","https://openalex.org/W2172274087","https://openalex.org/W2276106123","https://openalex.org/W2977883299","https://openalex.org/W4248222129","https://openalex.org/W6639038054","https://openalex.org/W6662413347","https://openalex.org/W6664956014","https://openalex.org/W6681614374"],"related_works":["https://openalex.org/W1480657811","https://openalex.org/W2400850456","https://openalex.org/W4312379891","https://openalex.org/W2944765019","https://openalex.org/W2741941708","https://openalex.org/W2014292780","https://openalex.org/W3200763141","https://openalex.org/W2114571052","https://openalex.org/W2058085357","https://openalex.org/W4393477281"],"abstract_inverted_index":{"Estimating":[0],"brain":[1,10,15,23,36,41,74,85,143,226,254],"wiring":[2],"patterns":[3,256],"is":[4,185,274,299,379,430,479,528,539],"critical":[5],"to":[6,125,131,154,178,187,253,278,296,324,327,351,432,472,486,585],"better":[7,132],"understand":[8],"the":[9,21,26,32,47,59,82,93,109,149,156,162,172,179,195,199,207,214,217,220,229,250,280,302,313,328,352,360,364,372,382,392,402,408,415,418,425,434,440,445,455,458,463,469,483,488,501,506,518,523,542,546,561,570,582,589],"organization":[11],"and":[12,29,58,81,104,135,151,160,204,228,240,276,355,467,491,500,512,521,533],"function.":[13],"Anatomical":[14],"connectivity":[16,24,114,137,158,562],"models":[17,148],"axonal":[18],"pathways,":[19],"while":[20],"functional":[22,55,118,134,168,180,341,519,534],"characterizes":[25],"statistical":[27],"dependencies":[28],"correlation":[30,329],"between":[31,73,284,330],"activities":[33,86],"of":[34,40,49,84,90,95,248,266,271,282,305,315,367,404,436,498,549,555],"various":[35,334],"regions.":[37],"The":[38,182,243,269,291,318,398],"synchronization":[39,83],"activity":[42,255,332],"can":[43,62,245],"be":[44,63,246,325],"inferred":[45],"through":[46,88,287,414],"variation":[48],"blood-oxygen-level":[50],"dependent":[51],"(BOLD)":[52],"signal":[53],"from":[54,67,312,374,564],"MRI":[56,69,535],"(fMRI)":[57],"neural":[60,331],"connections":[61,72,174,515,557],"estimated":[64],"using":[65,530,569],"tractography":[66,314],"diffusion":[68,532],"(dMRI).":[70],"Functional":[71],"regions":[75,224,239],"are":[76,389],"supported":[77,516],"by":[78,170,261,301,381,517,588],"anatomical":[79,113,136,157,163,173,493,514,525],"connections,":[80,551],"arises":[87],"sharing":[89],"information":[91,251,283,320,365,412,452,520],"in":[92,111,338,359,391,395,575],"form":[94],"electro-chemical":[96],"signals":[97],"on":[98],"axon":[99],"pathways.":[100],"Jointly":[101],"modeling":[102],"fMRI":[103,152,267],"dMRI":[105,150,316],"data":[106,153,586],"may":[107,123],"improve":[108,155],"accuracy":[110],"constructing":[112],"as":[115,117,175,249,257],"well":[116],"connectivity.":[119],"Such":[120],"an":[121],"approach":[122,429],"lead":[124,350],"novel":[126],"multimodal":[127],"biomarkers":[128],"potentially":[129],"able":[130],"capture":[133,487],"variations.":[138],"We":[139,579],"present":[140],"a":[141,188,339,368,422,476,565,576],"<i>novel":[142],"network":[144,507],"model":[145,279,544,568],"</i>which":[146],"jointly":[147],"estimation":[159],"extract":[161],"subnetworks":[164],"associated":[165],"with":[166,447,481,552,560],"specific":[167],"modes":[169],"constraining":[171],"structural":[176],"supports":[177],"connections.":[181,494],"key":[183],"idea":[184],"similar":[186],"multi-commodity":[189],"flow":[190,202,366,470],"optimization":[191,393,459,508],"problem":[192,509],"that":[193,541],"minimizes":[194],"cost":[196,387,400,410,420,442,484,503],"or":[197],"maximizes":[198],"efficiency":[200],"for":[201,210,259,411,451],"configuration":[203],"simultaneously":[205],"fulfills":[206],"supply-demand":[208],"constraint":[209],"each":[211,437],"commodity.":[212],"In":[213,417,454],"proposed":[215,361,502,543,583],"network,":[216],"nodes":[218],"represent":[219,231],"grey":[221],"matter":[222,233],"(GM)":[223],"providing":[225],"functionality,":[227],"links":[230],"white":[232],"(WM)":[234],"fiber":[235,289,306,309,405,449],"bundles":[236],"connecting":[237],"those":[238],"delivering":[241],"information.":[242],"commodities":[244],"thought":[247],"corresponding":[252],"obtained":[258],"instance":[260],"independent":[262],"component":[263],"analysis":[264],"(ICA)":[265],"data.":[268,317,537],"concept":[270],"<i>information":[272],"flow</i>":[273],"introduced":[275],"used":[277,431],"propagation":[281,465],"GM":[285],"areas":[286,336],"WM":[288],"bundles.":[290],"<i>link":[292,353],"capacity</i>,":[293],"i.e.,":[294],"ability":[295],"transfer":[297],"information,":[298],"characterized":[300],"relative":[303],"strength":[304,406,450],"bundles,":[307],"e.g.,":[308],"count":[310],"gathered":[311],"<i>node":[319,356],"demand":[321,357,373],"</i>is":[322],"considered":[323,390],"proportional":[326],"at":[333],"cortical":[335],"involved":[337],"particular":[340],"mode":[342],"(e.g.":[343],"visual,":[344],"motor,":[345],"etc.).":[346],"These":[347],"two":[348],"properties":[349],"capacity</i>":[354],"</i>constraints":[358],"model.":[362],"Moreover,":[363],"link":[369,427],"cannot":[370],"exceed":[371],"either":[375],"end":[376],"node.":[377],"This":[378],"captured":[380],"<i>feasibility":[383],"constraints</i>.":[384],"Two":[385],"different":[386],"functions":[388,485],"formulation":[394],"this":[396,496],"paper.":[397],"first":[399,441],"function,":[401,421],"reciprocal":[403],"represents":[407],"unit":[409],"passing":[413],"link.":[416,438],"second":[419,456],"min-max":[423],"(minimizing":[424],"maximal":[426],"load)":[428],"balance":[433],"usage":[435],"Optimizing":[439],"function":[443],"selects":[444],"pathway":[446],"strongest":[448],"propagation.":[453],"case,":[457],"procedure":[460],"finds":[461],"all":[462],"possible":[464,489],"pathways":[466],"allocates":[468],"proportionally":[471],"their":[473],"strength.":[474],"Additionally,":[475],"penalty":[477],"term":[478],"incorporated":[480],"both":[482],"missing":[490,511],"weak":[492,513],"With":[495],"set":[497],"constraints":[499],"functions,":[504],"solving":[505],"recovers":[510,545],"provides":[522],"functional-associated":[524],"subnetworks.":[526],"Feasibility":[527],"demonstrated":[529],"realistic":[531],"phantom":[536],"It":[538],"shown":[540],"maximum":[547],"number":[548,554],"true":[550],"fewest":[553],"false":[556],"when":[558],"compared":[559],"derived":[563],"joint":[566],"probabilistic":[567],"expectation-maximization":[571],"(EM)":[572],"algorithm":[573],"presented":[574],"prior":[577],"work.":[578],"also":[580],"apply":[581],"method":[584],"provided":[587],"Human":[590],"Connectome":[591],"Project":[592],"(HCP).":[593]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}