{"id":"https://openalex.org/W2594384814","doi":"https://doi.org/10.1109/acssc.2016.7869583","title":"Functional connectivity metrics for wavelet clustering of rs-fMRI data","display_name":"Functional connectivity metrics for wavelet clustering of rs-fMRI data","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2594384814","doi":"https://doi.org/10.1109/acssc.2016.7869583","mag":"2594384814"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2016.7869583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","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/A5032988915","display_name":"Jacob Billings","orcid":"https://orcid.org/0000-0002-8186-6126"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob C. Billings","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042284505","display_name":"Alessio Medda","orcid":"https://orcid.org/0000-0002-0632-5338"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I4388482740","display_name":"Georgia Tech Research Institute","ror":"https://ror.org/04qfrh333","country_code":null,"type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I4388482740"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessio Medda","raw_affiliation_strings":["Georgia Tech Research Institute, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Tech Research Institute, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4388482740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001252579","display_name":"Gordon J Berman","orcid":"https://orcid.org/0000-0003-3588-7820"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gordon Berman","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080980159","display_name":"Shella Keilholz","orcid":"https://orcid.org/0000-0001-5737-1660"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shella D. Keilholz","raw_affiliation_strings":["Georgia Institute of Technology, Emory University, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Emory University, Atlanta, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17452168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1295","last_page":"1299"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9980000257492065,"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":0.9950000047683716,"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/embedding","display_name":"Embedding","score":0.7124910950660706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7064034938812256},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.6476946473121643},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6165366172790527},{"id":"https://openalex.org/keywords/dynamic-functional-connectivity","display_name":"Dynamic functional connectivity","score":0.50681072473526},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4649077355861664},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46019721031188965},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4496784210205078},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.4383808374404907},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4350929260253906},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40488311648368835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.347311407327652},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3262091875076294},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.16984957456588745},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1591692864894867},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10760906338691711}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7124910950660706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064034938812256},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.6476946473121643},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6165366172790527},{"id":"https://openalex.org/C2781312939","wikidata":"https://www.wikidata.org/wiki/Q17088721","display_name":"Dynamic functional connectivity","level":3,"score":0.50681072473526},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4649077355861664},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46019721031188965},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4496784210205078},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.4383808374404907},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4350929260253906},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40488311648368835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.347311407327652},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3262091875076294},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.16984957456588745},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1591692864894867},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10760906338691711},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2016.7869583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2016.7869583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 50th Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1976623182","https://openalex.org/W1983485726","https://openalex.org/W2009494091","https://openalex.org/W2020519533","https://openalex.org/W2021053759","https://openalex.org/W2106373678","https://openalex.org/W2133665775","https://openalex.org/W2154723612","https://openalex.org/W2159549823","https://openalex.org/W2163444933","https://openalex.org/W2187089797","https://openalex.org/W2290757399","https://openalex.org/W2321539715","https://openalex.org/W2330892731"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W4307558259","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W2129688774","https://openalex.org/W2900415423","https://openalex.org/W3159953198","https://openalex.org/W2380477800","https://openalex.org/W2744921996","https://openalex.org/W2970256865"],"abstract_inverted_index":{"Functional":[0],"connectivity":[1,52,60],"(FC)":[2],"in":[3,54,80],"the":[4,7,37,46,86,89],"brain":[5,97],"reflects":[6],"time-varying":[8],"cognitive":[9],"demands":[10],"imposed":[11],"by":[12,76],"our":[13],"changing":[14,59],"environment.":[15],"Researchers":[16],"have":[17],"advanced":[18],"methods":[19],"towards":[20],"evaluating":[21,45],"such":[22],"changes":[23],"but":[24],"no":[25],"single":[26],"dynamic":[27,96],"FC":[28],"method":[29],"has":[30],"emerged.":[31],"This":[32],"plurality":[33],"of":[34,48,67,88],"methodologies":[35],"challenges":[36],"research":[38,72],"community":[39],"to":[40,94],"implement":[41],"efficient":[42],"means":[43],"for":[44],"results":[47],"each":[49],"method.":[50],"Brain":[51],"exists":[53],"a":[55,81],"high-dimensional":[56],"space":[57],"where":[58],"between":[61],"regions":[62],"is":[63],"assessed":[64],"across":[65],"hundreds":[66],"time":[68],"points.":[69],"The":[70],"present":[71],"address":[73],"this":[74],"challenge":[75],"embedding":[77,92],"network":[78],"dynamics":[79],"2D":[82],"manifold.":[83],"Findings":[84],"suggest":[85],"ability":[87],"proposed":[90],"manifold":[91],"technique":[93],"highlight":[95],"state":[98],"transitions.":[99]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}