{"id":"https://openalex.org/W2772564583","doi":"https://doi.org/10.1109/mlsp.2017.8168179","title":"Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method","display_name":"Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2772564583","doi":"https://doi.org/10.1109/mlsp.2017.8168179","mag":"2772564583"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2017.8168179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2017.8168179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5060548034","display_name":"Weizheng Yan","orcid":"https://orcid.org/0000-0002-0885-5631"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weizheng Yan","raw_affiliation_strings":["Brainnetome center, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brainnetome center, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082230429","display_name":"Sergey Plis","orcid":"https://orcid.org/0000-0003-0040-0365"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sergey Plis","raw_affiliation_strings":["Brainnetome center, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brainnetome center, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vince D Calhoun","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Vince D Calhoun","raw_affiliation_strings":["Brainnetome center, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brainnetome center, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056486566","display_name":"Shengfeng Liu","orcid":"https://orcid.org/0000-0002-6902-3329"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengfeng Liu","raw_affiliation_strings":["Brainnetome center, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brainnetome center, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013717612","display_name":"Rongtao Jiang","orcid":"https://orcid.org/0000-0003-4657-0079"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongtao Jiang","raw_affiliation_strings":["Brainnetome center, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brainnetome center, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030433990","display_name":"Tianzi Jiang","orcid":"https://orcid.org/0000-0001-9531-291X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian-Zi Jiang","raw_affiliation_strings":["Brainnetome center, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brainnetome center, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073577615","display_name":"Jing Sui \uff08Beijing Normal University\uff09\uff0c my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you","orcid":"https://orcid.org/0000-0001-6837-5966"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Sui","raw_affiliation_strings":["Brainnetome center, Chinese Academy of Sciences, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brainnetome center, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5060548034"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":1.7286,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.84715329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9993000030517578,"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":0.9991000294685364,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7159551382064819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6669966578483582},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6597620844841003},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6483907103538513},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.642299473285675},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5791789293289185},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.5393291711807251},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5305524468421936},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.5134778618812561},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5010266304016113},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.41885870695114136},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38653072714805603},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.21076267957687378},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1143006682395935},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09016278386116028},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06622302532196045}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7159551382064819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6669966578483582},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6597620844841003},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6483907103538513},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.642299473285675},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5791789293289185},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.5393291711807251},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5305524468421936},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.5134778618812561},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5010266304016113},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41885870695114136},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38653072714805603},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.21076267957687378},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1143006682395935},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09016278386116028},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06622302532196045},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2017.8168179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2017.8168179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1457602677","https://openalex.org/W1522301498","https://openalex.org/W1787224781","https://openalex.org/W1968969471","https://openalex.org/W1973741448","https://openalex.org/W2036439084","https://openalex.org/W2099347455","https://openalex.org/W2100495367","https://openalex.org/W2126598020","https://openalex.org/W2141724543","https://openalex.org/W2143426320","https://openalex.org/W2187089797","https://openalex.org/W2238108400","https://openalex.org/W2273284117","https://openalex.org/W2413867752","https://openalex.org/W2468051497","https://openalex.org/W2569531558","https://openalex.org/W2588003167","https://openalex.org/W2618530766","https://openalex.org/W2911964244","https://openalex.org/W2963287333","https://openalex.org/W2964121744"],"related_works":["https://openalex.org/W1520477417","https://openalex.org/W3150454329","https://openalex.org/W2594876342","https://openalex.org/W3016599742","https://openalex.org/W4232465970","https://openalex.org/W2148334755","https://openalex.org/W2283746446","https://openalex.org/W4229855818","https://openalex.org/W2945168867","https://openalex.org/W2134927621"],"abstract_inverted_index":{"Deep":[0],"learning":[1,29],"has":[2],"gained":[3],"considerable":[4],"attention":[5],"in":[6,13,146,167,189],"the":[7,113,137,142,169,182,190],"scientific":[8],"community,":[9],"breaking":[10],"benchmark":[11],"records":[12],"many":[14],"fields":[15],"such":[16],"as":[17],"speech":[18],"and":[19,178,192],"visual":[20],"recognition":[21],"[1].":[22],"Motivated":[23],"by":[24,128],"extending":[25],"advancement":[26],"of":[27,65,112,181,198],"deep":[28],"approaches":[30],"to":[31,48,94,119],"brain":[32,199],"imaging":[33],"classification,":[34,121],"we":[35,135],"propose":[36],"a":[37,72,186],"framework,":[38],"called":[39],"\u201cdeep":[40],"neural":[41],"network":[42,59],"(DNN)+":[43],"layer-wise":[44],"relevance":[45],"propagation":[46],"(LRP)\u201d,":[47],"distinguish":[49],"schizophrenia":[50],"patients":[51],"(SZ)":[52],"from":[53,77],"healthy":[54],"controls":[55],"(HCs)":[56],"using":[57,152],"functional":[58],"connectivity":[60],"(FNC).":[61],"1100":[62],"Chinese":[63],"subjects":[64],"7":[66,165],"sites":[67,158],"are":[68],"included,":[69],"each":[70],"with":[71],"50\u221750":[73],"FNC":[74,116,138],"matrix":[75],"resulted":[76],"group":[78],"ICA":[79],"on":[80],"resting-state":[81],"fMRI":[82],"data.":[83],"The":[84],"proposed":[85,183],"DNN+LRP":[86],"not":[87],"only":[88],"improves":[89],"classification":[90,97,171],"accuracy":[91,172],"significantly":[92],"compare":[93],"four":[95],"state-of-the-art":[96],"methods":[98],"(84%":[99],"vs.":[100],"less":[101],"than":[102],"79%,":[103],"10":[104],"folds":[105],"cross":[106,154],"validation)":[107],"but":[108],"also":[109],"enables":[110],"identification":[111,197],"most":[114],"contributing":[115],"patterns":[117,139],"related":[118],"SZ":[120,147],"which":[122],"cannot":[123],"be":[124],"easily":[125],"traced":[126],"back":[127],"general":[129],"DNN":[130],"models.":[131],"By":[132],"conducting":[133],"LRP,":[134],"identified":[136],"that":[140],"exhibit":[141],"highest":[143],"discriminative":[144],"power":[145],"classification.":[148],"More":[149],"importantly,":[150],"when":[151],"leave-one-site-out":[153],"validation":[155],"(using":[156],"6":[157],"for":[159,163,195],"training,":[160],"1":[161],"site":[162],"testing,":[164],"times":[166],"total),":[168],"cross-site":[170],"reached":[173],"82%,":[174],"suggesting":[175],"high":[176],"robustness":[177],"generalization":[179],"performance":[180],"method,":[184],"promising":[185],"wide":[187],"utility":[188],"community":[191],"great":[193],"potentials":[194],"biomarker":[196],"disorders.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-05-19T08:33:51.333923","created_date":"2025-10-10T00:00:00"}