{"id":"https://openalex.org/W2744209373","doi":"https://doi.org/10.1109/tbme.2017.2738035","title":"Tractography-based score for learning Effective Connectivity from Multimodal imaging data using dynamic Bayesian networks","display_name":"Tractography-based score for learning Effective Connectivity from Multimodal imaging data using dynamic Bayesian networks","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2744209373","doi":"https://doi.org/10.1109/tbme.2017.2738035","mag":"2744209373","pmid":"https://pubmed.ncbi.nlm.nih.gov/28809668"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2017.2738035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2017.2738035","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5054472079","display_name":"Shilpa Dang","orcid":"https://orcid.org/0000-0001-6170-8246"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shilpa Dang","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086242686","display_name":"Santanu Chaudhury","orcid":"https://orcid.org/0000-0002-5488-7773"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santanu Chaudhury","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066116024","display_name":"Brejesh Lall","orcid":"https://orcid.org/0000-0003-2677-3071"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brejesh Lall","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015646157","display_name":"Prasun K. Roy","orcid":"https://orcid.org/0000-0001-9477-1356"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasun K. Roy","raw_affiliation_strings":["Electrical Engineering Department, Indian Institute of Technology Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, Indian Institute of Technology Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.7708,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.70275282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"65","issue":"5","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.916700005531311,"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":0.916700005531311,"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":0.07559999823570251,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.0007999999797903001,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.684484601020813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6602166891098022},{"id":"https://openalex.org/keywords/diffusion-mri","display_name":"Diffusion MRI","score":0.615032970905304},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5487821102142334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5347928404808044},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.523152232170105},{"id":"https://openalex.org/keywords/tractography","display_name":"Tractography","score":0.4591687321662903},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4420401453971863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41544854640960693},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.17495569586753845}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.684484601020813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6602166891098022},{"id":"https://openalex.org/C149550507","wikidata":"https://www.wikidata.org/wiki/Q899360","display_name":"Diffusion MRI","level":3,"score":0.615032970905304},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5487821102142334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5347928404808044},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.523152232170105},{"id":"https://openalex.org/C84787856","wikidata":"https://www.wikidata.org/wiki/Q3076659","display_name":"Tractography","level":4,"score":0.4591687321662903},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4420401453971863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41544854640960693},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.17495569586753845},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056324","descriptor_name":"Diffusion Tensor Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D064847","descriptor_name":"Multimodal Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2017.2738035","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2017.2738035","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:28809668","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28809668","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W266357292","https://openalex.org/W1524356610","https://openalex.org/W1555758483","https://openalex.org/W1760829075","https://openalex.org/W1968222074","https://openalex.org/W1979773754","https://openalex.org/W1982335484","https://openalex.org/W1997491128","https://openalex.org/W1998855618","https://openalex.org/W1999816351","https://openalex.org/W2000133863","https://openalex.org/W2003095405","https://openalex.org/W2005889376","https://openalex.org/W2006312249","https://openalex.org/W2010792576","https://openalex.org/W2019787365","https://openalex.org/W2021077818","https://openalex.org/W2021655476","https://openalex.org/W2021768951","https://openalex.org/W2022671987","https://openalex.org/W2023595618","https://openalex.org/W2027715153","https://openalex.org/W2032753323","https://openalex.org/W2061564920","https://openalex.org/W2065131965","https://openalex.org/W2073025349","https://openalex.org/W2075991736","https://openalex.org/W2078204079","https://openalex.org/W2079095593","https://openalex.org/W2093972428","https://openalex.org/W2095622082","https://openalex.org/W2096424283","https://openalex.org/W2106396500","https://openalex.org/W2108878896","https://openalex.org/W2109198067","https://openalex.org/W2110168541","https://openalex.org/W2112938311","https://openalex.org/W2116031726","https://openalex.org/W2117663940","https://openalex.org/W2131181615","https://openalex.org/W2133903921","https://openalex.org/W2134170969","https://openalex.org/W2135173838","https://openalex.org/W2136435696","https://openalex.org/W2138309709","https://openalex.org/W2142059961","https://openalex.org/W2142900310","https://openalex.org/W2155411624","https://openalex.org/W2171620180","https://openalex.org/W2171802424","https://openalex.org/W2178225550","https://openalex.org/W2180457953","https://openalex.org/W2181270872","https://openalex.org/W2293729407","https://openalex.org/W2564992968","https://openalex.org/W2568443937","https://openalex.org/W2979006918","https://openalex.org/W3083591227","https://openalex.org/W4236354166","https://openalex.org/W6768650569","https://openalex.org/W6783087427"],"related_works":["https://openalex.org/W2488984732","https://openalex.org/W1698039310","https://openalex.org/W177321449","https://openalex.org/W2528560501","https://openalex.org/W2063864867","https://openalex.org/W2124285946","https://openalex.org/W2495580112","https://openalex.org/W2000834694","https://openalex.org/W2032211030","https://openalex.org/W1768525409"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Effective":[1],"connectivity":[2,38,149],"(EC)":[3],"is":[4,22,34,43,64,161,205],"the":[5,11,17,87,169,176,220,248],"methodology":[6],"for":[7,45,241],"determining":[8],"functional-integration":[9],"among":[10],"functionally":[12],"active":[13],"segregated":[14],"regions":[15],"of":[16,69,86,146,166,179,219],"brain.":[18],"By":[19],"definition":[20],"EC":[21,46,114,129,199],"\"the":[23],"causal":[24],"influence":[25],"exerted":[26],"by":[27,36,195],"one":[28],"neuronal":[29],"group":[30],"on":[31,201],"another\"":[32],"which":[33],"constrained":[35],"anatomical":[37],"(AC)":[39],"(axonal":[40],"connections).":[41],"AC":[42,221],"necessary":[44],"but":[47],"does":[48],"not":[49],"fully":[50],"determine":[51],"it,":[52],"because":[53],"synaptic":[54],"communication":[55],"occurs":[56],"dynamically":[57],"in":[58,130,163,217],"a":[59,65,79,102,137,147,237],"context-dependent":[60],"fashion.":[61,133],"Although":[62],"there":[63],"vast":[66],"emerging":[67],"evidence":[68],"structure-function":[70],"relationship":[71],"using":[72,115],"multimodal":[73],"imaging":[74,96],"studies,":[75],"till":[76],"date":[77],"only":[78],"few":[80],"studies":[81],"have":[82],"done":[83],"joint":[84],"modeling":[85],"two":[88],"modalities:":[89],"functional":[90],"MRI":[91],"(fMRI)":[92],"and":[93,154,213],"diffusion":[94],"tensor":[95],"(DTI).":[97],"We":[98],"aim":[99],"to":[100,112,151,207,225],"propose":[101,136],"unified":[103],"probabilistic":[104,123],"framework":[105],"that":[106,127,143],"combines":[107],"information":[108],"from":[109],"both":[110,152],"sources":[111],"learn":[113,128],"dynamic":[116],"Bayesian":[117],"networks":[118],"(DBNs).":[119],"METHOD:":[120],"DBNs":[121],"are":[122,193],"graphical":[124],"temporal":[125],"models":[126],"an":[131],"exploratory":[132],"Specifically,":[134],"we":[135],"novel":[138],"anatomically":[139,187],"informed":[140],"(AI)":[141],"score":[142,160,185],"evaluates":[144],"fitness":[145],"given":[148,168],"structure":[150,164,180],"DTI":[153],"fMRI":[155],"data":[156],"simultaneously.":[157],"The":[158],"AI":[159,184],"employed":[162],"learning":[165,181],"DBN":[167],"data.":[170],"RESULTS:":[171],"Experiments":[172],"with":[173,182,210],"synthetic-data":[174],"demonstrate":[175],"face":[177],"validity":[178],"our":[183],"over":[186],"uninformed":[188],"counterpart.":[189],"Moreover,":[190],"real-data":[191],"results":[192,216],"cross-validated":[194],"performing":[196],"classification-experiments.":[197],"CONCLUSION:":[198],"inferred":[200],"real":[202],"fMRI-DTI":[203],"datasets":[204],"found":[206],"be":[208],"consistent":[209],"previous":[211],"literature":[212],"show":[214],"promising":[215],"light":[218],"present":[222],"as":[223,231],"compared":[224],"other":[226],"classically":[227],"used":[228],"techniques":[229],"such":[230],"Granger-causality.":[232],"SIGNIFICANCE:":[233],"Multimodal":[234],"analyses":[235],"provide":[236],"more":[238],"reliable":[239],"basis":[240],"differentiating":[242],"brain":[243],"under":[244],"abnormal/diseased":[245],"conditions":[246],"than":[247],"single":[249],"modality":[250],"analysis.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
