{"id":"https://openalex.org/W2789668414","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302212","title":"Analysis of brain functional networks based on inner composition alignment","display_name":"Analysis of brain functional networks based on inner composition alignment","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2789668414","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302212","mag":"2789668414"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5028626828","display_name":"Chuchu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuchu Ding","raw_affiliation_strings":["Image Processing and Image Communications Key Lab, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Image Communications Key Lab, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102299371","display_name":"Jiafei Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I2799773085","display_name":"Nanjing General Hospital of Nanjing Military Command","ror":"https://ror.org/04kmpyd03","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2799773085"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafei Dai","raw_affiliation_strings":["Nanjing General Hospital of Nanjing Military Command, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing General Hospital of Nanjing Military Command, Nanjing, China","institution_ids":["https://openalex.org/I2799773085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712167","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-9548-0411"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091847050","display_name":"Danqin Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danqin Xing","raw_affiliation_strings":["Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042032301","display_name":"Yiyi He","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyi He","raw_affiliation_strings":["Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003949288","display_name":"Jiaqin Wang","orcid":"https://orcid.org/0000-0002-4581-0248"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqin Wang","raw_affiliation_strings":["Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022687558","display_name":"Fengzhen Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I161716053","display_name":"China Pharmaceutical University","ror":"https://ror.org/01sfm2718","country_code":"CN","type":"education","lineage":["https://openalex.org/I161716053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengzhen Hou","raw_affiliation_strings":["Key Laboratory of Biomedical Functional Materials, China Pharmaceutical University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Biomedical Functional Materials, China Pharmaceutical University, Nanjing, China","institution_ids":["https://openalex.org/I161716053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5028626828"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2068716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"286","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9872000217437744,"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":0.9872000217437744,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/clustering-coefficient","display_name":"Clustering coefficient","score":0.8306562304496765},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.691261887550354},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.591032087802887},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5781172513961792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5727705955505371},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.5608838796615601},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5040223002433777},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.49620920419692993},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.49431657791137695},{"id":"https://openalex.org/keywords/average-path-length","display_name":"Average path length","score":0.4347200095653534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39810431003570557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3453395962715149},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3429161310195923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3208300471305847},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1733398735523224},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1503523290157318},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12682348489761353},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1218300461769104},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.11686453223228455},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09904506802558899}],"concepts":[{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.8306562304496765},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.691261887550354},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.591032087802887},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5781172513961792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5727705955505371},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.5608838796615601},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5040223002433777},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.49620920419692993},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.49431657791137695},{"id":"https://openalex.org/C91886571","wikidata":"https://www.wikidata.org/wiki/Q432520","display_name":"Average path length","level":4,"score":0.4347200095653534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39810431003570557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3453395962715149},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3429161310195923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3208300471305847},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1733398735523224},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1503523290157318},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12682348489761353},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1218300461769104},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.11686453223228455},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09904506802558899},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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":7,"referenced_works":["https://openalex.org/W103940487","https://openalex.org/W2008620264","https://openalex.org/W2011961540","https://openalex.org/W2077975924","https://openalex.org/W2112090702","https://openalex.org/W2375918809","https://openalex.org/W3116275397"],"related_works":["https://openalex.org/W2088831353","https://openalex.org/W2357702059","https://openalex.org/W2024447004","https://openalex.org/W1979477222","https://openalex.org/W2909842655","https://openalex.org/W2057614014","https://openalex.org/W2931395331","https://openalex.org/W2381792320","https://openalex.org/W4386505309","https://openalex.org/W2593182287"],"abstract_inverted_index":{"The":[0],"study":[1,22,42,58],"of":[2,9,25,47,52],"brain":[3,49],"networks":[4,27],"usually":[5],"analyze":[6],"the":[7,10,23,43,48,59,68,72,78],"difference":[8,24],"statistical":[11],"data":[12],"and":[13,45,64,82],"topological":[14,60],"structure":[15],"between":[16],"pathological":[17],"with":[18],"normal":[19],"brain,":[20],"or":[21],"complex":[26],"in":[28,55,62],"different":[29,53],"physiological":[30],"state.":[31],"This":[32],"paper":[33],"presents":[34],"an":[35],"inner":[36,83],"composition":[37,84],"alignment":[38,85],"algorithm":[39,86],"(IOTA)":[40],"to":[41],"complexity":[44],"differences":[46],"function":[50],"network":[51],"ages":[54],"beta":[56],"rhythm,":[57],"characteristics":[61,69],"younger":[63],"old":[65],"by":[66],"computing":[67],"through":[70],"algorithm:":[71],"average":[73,79],"path":[74],"length,":[75],"clustering":[76],"coefficient,":[77],"node":[80],"degree":[81],"coefficient.":[87]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
