{"id":"https://openalex.org/W2794106778","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302087","title":"Analysis of Magnetoencephalography based on symbolic transfer entropy","display_name":"Analysis of Magnetoencephalography based on symbolic transfer entropy","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2794106778","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302087","mag":"2794106778"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302087","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/A5081509598","display_name":"Bihan Zhang","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":"Bihan Zhang","raw_affiliation_strings":["Image Processing and Image Communications Key Lab., Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"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/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":false,"raw_author_name":"Chuchu Ding","raw_affiliation_strings":["Image Processing and Image Communications Key Lab., Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"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/A5031962106","display_name":"Wei Yan","orcid":"https://orcid.org/0000-0002-7596-4192"},"institutions":[{"id":"https://openalex.org/I83519826","display_name":"Nanjing Medical University","ror":"https://ror.org/059gcgy73","country_code":"CN","type":"education","lineage":["https://openalex.org/I83519826"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yan","raw_affiliation_strings":["Department of Psychiatry, Nanjing Medical University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Nanjing Medical University, Nanjing, China","institution_ids":["https://openalex.org/I83519826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101490891","display_name":"Li Guo","orcid":"https://orcid.org/0000-0002-2707-5833"},"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":"Li Guo","raw_affiliation_strings":["Smart Health Big-Data Analysis and Location Services Engineering Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":null,"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/A5100384638","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0001-8560-3203"},"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"],"raw_orcid":null,"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":["School of Science China Pharmaceutical University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science China Pharmaceutical University, Nanjing, China","institution_ids":["https://openalex.org/I161716053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.133,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52005966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"60","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":0.9965999722480774,"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":0.9965999722480774,"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":0.9950000047683716,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9842000007629395,"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/magnetoencephalography","display_name":"Magnetoencephalography","score":0.8644152879714966},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.5835171937942505},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5676300525665283},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5536254644393921},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.47245052456855774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39784085750579834},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3638693690299988},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35686856508255005},{"id":"https://openalex.org/keywords/audiology","display_name":"Audiology","score":0.3202304244041443},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.31617480516433716},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.2185584306716919},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20702633261680603},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17494937777519226},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.15165552496910095},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11849921941757202}],"concepts":[{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.8644152879714966},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.5835171937942505},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5676300525665283},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5536254644393921},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.47245052456855774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39784085750579834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3638693690299988},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35686856508255005},{"id":"https://openalex.org/C548259974","wikidata":"https://www.wikidata.org/wiki/Q569965","display_name":"Audiology","level":1,"score":0.3202304244041443},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.31617480516433716},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.2185584306716919},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20702633261680603},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17494937777519226},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.15165552496910095},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11849921941757202},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302087","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302087","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":16,"referenced_works":["https://openalex.org/W950991549","https://openalex.org/W1552161964","https://openalex.org/W1587156225","https://openalex.org/W1620414136","https://openalex.org/W1982250103","https://openalex.org/W1990856279","https://openalex.org/W2016980059","https://openalex.org/W2041782669","https://openalex.org/W2049941387","https://openalex.org/W2071044018","https://openalex.org/W2082627290","https://openalex.org/W2084333685","https://openalex.org/W2085009317","https://openalex.org/W2133501143","https://openalex.org/W2166654604","https://openalex.org/W4291951914"],"related_works":["https://openalex.org/W2090251673","https://openalex.org/W3096545521","https://openalex.org/W2410200900","https://openalex.org/W2013261033","https://openalex.org/W1999409691","https://openalex.org/W1966203994","https://openalex.org/W2150055352","https://openalex.org/W2356475741","https://openalex.org/W2075237332","https://openalex.org/W1993345826"],"abstract_inverted_index":{"In":[0,85],"this":[1],"paper,":[2],"we":[3],"symbolize":[4],"two":[5,61],"kinds":[6],"of":[7,10,46,63,113,130],"different":[8,47],"channels":[9,62,88],"Magnetoencephalography(MEG)":[11],"and":[12,30,38,42,65,72,79,97,126,136],"analyze":[13],"their":[14],"coupling":[15,44],"relationship":[16,45],"using":[17],"symbolic":[18,114],"transfer":[19,115],"entropy":[20,116],"algorithm.":[21],"We":[22],"record":[23],"MEG":[24,48,118],"signals":[25],"from":[26,105],"six":[27],"depressive":[28],"disorders":[29],"nine":[31],"healthy":[32],"subjects":[33],"stimulated":[34],"by":[35],"positive,":[36],"neutral,":[37],"negative":[39,82],"emotional":[40,69,76,83],"pictures":[41],"explore":[43],"channels.":[49],"The":[50],"results":[51],"show":[52],"that":[53,110],"there":[54],"are":[55],"obvious":[56],"differences":[57],"on":[58],"correlations":[59],"between":[60,124],"MLP32":[64],"MRP32":[66],"with":[67,74,81,94],"positive":[68],"stimulus,":[70,77],"MLP31":[71],"MRP31":[73],"neutral":[75],"MLP53":[78],"MRP53":[80],"stimulus.":[84],"general,":[86],"these":[87],"have":[89],"more":[90],"correlation":[91],"in":[92,117],"patients":[93],"major":[95],"depression,":[96],"can":[98,120],"be":[99],"able":[100],"to":[101],"distinguish":[102,121],"depression":[103],"patient":[104],"crowd.":[106],"It":[107],"also":[108],"shows":[109],"the":[111,122],"research":[112],"channel":[119],"difference":[123],"normal":[125],"case":[127],"samples,":[128],"which":[129],"significance":[131],"for":[132],"clinical":[133],"pathological":[134],"estimation":[135],"diagnosis.":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
