{"id":"https://openalex.org/W2700992047","doi":"https://doi.org/10.1109/icassp.2017.7953340","title":"Fused estimation of sparse connectivity patterns from rest fMRI","display_name":"Fused estimation of sparse connectivity patterns from rest fMRI","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2700992047","doi":"https://doi.org/10.1109/icassp.2017.7953340","mag":"2700992047"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7953340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5068176773","display_name":"Pascal Zill\u00e9","orcid":"https://orcid.org/0000-0002-8802-1230"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pascal Zille","raw_affiliation_strings":["Biomedical Engineering Department, Tulane University"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering Department, Tulane University","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032850756","display_name":"Vince D. Calhoun","orcid":"https://orcid.org/0000-0001-9058-0747"},"institutions":[{"id":"https://openalex.org/I1334567473","display_name":"Mind Research Network","ror":"https://ror.org/032cjfs80","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1334567473"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vince D. Calhoun","raw_affiliation_strings":["The Mind Research Network"],"affiliations":[{"raw_affiliation_string":"The Mind Research Network","institution_ids":["https://openalex.org/I1334567473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027325948","display_name":"Julia M. Stephen","orcid":"https://orcid.org/0000-0003-2486-747X"},"institutions":[{"id":"https://openalex.org/I1334567473","display_name":"Mind Research Network","ror":"https://ror.org/032cjfs80","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1334567473"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julia M. Stephen","raw_affiliation_strings":["The Mind Research Network"],"affiliations":[{"raw_affiliation_string":"The Mind Research Network","institution_ids":["https://openalex.org/I1334567473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084945637","display_name":"Tony W. Wilson","orcid":"https://orcid.org/0000-0002-5053-8306"},"institutions":[{"id":"https://openalex.org/I59130452","display_name":"University of Nebraska Medical Center","ror":"https://ror.org/00thqtb16","country_code":"US","type":"funder","lineage":["https://openalex.org/I59130452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tony W. Wilson","raw_affiliation_strings":["Department of Neurological Sciences, University of Nebraska Medical Center"],"affiliations":[{"raw_affiliation_string":"Department of Neurological Sciences, University of Nebraska Medical Center","institution_ids":["https://openalex.org/I59130452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339106","display_name":"Yu\u2010Ping Wang","orcid":"https://orcid.org/0000-0001-9340-5864"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Ping Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, The University of New Mexico"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, The University of New Mexico","institution_ids":["https://openalex.org/I169521973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068176773"],"corresponding_institution_ids":["https://openalex.org/I114832834"],"apc_list":null,"apc_paid":null,"fwci":0.3845,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58815146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6160","last_page":"6164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9995999932289124,"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/discriminative-model","display_name":"Discriminative model","score":0.8254233598709106},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.7578006982803345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6696656942367554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6353994011878967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.580227792263031},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.521266758441925},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.518619954586029},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.468715101480484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.466849148273468},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.43618106842041016},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.4349609315395355},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.14542418718338013},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12177643179893494},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.08508354425430298}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8254233598709106},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.7578006982803345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6696656942367554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6353994011878967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.580227792263031},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.521266758441925},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.518619954586029},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.468715101480484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.466849148273468},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.43618106842041016},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.4349609315395355},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.14542418718338013},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12177643179893494},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.08508354425430298},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7953340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7953340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W342814435","https://openalex.org/W1973741448","https://openalex.org/W2000567868","https://openalex.org/W2026336376","https://openalex.org/W2030561475","https://openalex.org/W2056636001","https://openalex.org/W2069088601","https://openalex.org/W2089572795","https://openalex.org/W2113506774","https://openalex.org/W2135029798","https://openalex.org/W2138905229","https://openalex.org/W2155830939","https://openalex.org/W2165009258","https://openalex.org/W2330558670","https://openalex.org/W2500004684","https://openalex.org/W3098745759","https://openalex.org/W3143596294","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W2765441290","https://openalex.org/W4306755470","https://openalex.org/W2011396931","https://openalex.org/W128114763","https://openalex.org/W4401572343","https://openalex.org/W2031593520","https://openalex.org/W4394861163","https://openalex.org/W2066906403","https://openalex.org/W3195257268","https://openalex.org/W2371524820"],"abstract_inverted_index":{"Functional":[0],"magnetic":[1],"resonance":[2],"imaging":[3],"(fMRI)":[4],"is":[5,72,126],"a":[6,24,58,84],"powerful":[7],"tool":[8],"to":[9,51,60,81,89,99,117,128],"analyze":[10,61],"brain":[11,18,45],"development":[12],"and":[13,67,93],"neuronal":[14],"activity.":[15],"Identifying":[16],"discriminative":[17],"regions":[19,46],"between":[20,65,139],"various":[21],"groups":[22],"within":[23],"population":[25],"has":[26],"generated":[27],"great":[28],"interest":[29],"in":[30,135],"recent":[31],"years.":[32],"In":[33,97],"this":[34],"work,":[35],"we":[36,56,79],"consider":[37],"the":[38,123,140],"problem":[39],"of":[40,111],"estimating":[41],"multiple":[42],"sparse,":[43],"co-activated":[44],"from":[47,115],"fMRI":[48,108],"observations":[49],"belonging":[50],"different":[52],"classes.":[53,142],"More":[54],"precisely,":[55],"propose":[57,80],"method":[59,125],"functional":[62],"connectivity":[63],"differences":[64],"children":[66,114],"young":[68],"adults.":[69],"Often,":[70],"analysis":[71],"conducted":[73],"on":[74,83,106],"each":[75],"class":[76],"separately.":[77],"Here,":[78],"rely":[82],"generalized":[85],"fused":[86],"Lasso":[87],"penalty":[88],"extract":[90,130],"both":[91],"class-specific":[92],"shared":[94],"co-expressed":[95],"regions.":[96],"order":[98],"validate":[100],"our":[101],"method,":[102],"experiments":[103],"are":[104],"performed":[105],"an":[107],"dataset":[109],"comprised":[110],"normally":[112],"developing":[113],"8":[116],"21.":[118],"The":[119],"results":[120,134],"demonstrate":[121],"that":[122],"proposed":[124],"able":[127],"properly":[129],"meaningful":[131],"sub-networks,":[132],"which":[133],"improved":[136],"classification":[137],"accuracy":[138],"two":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}