{"id":"https://openalex.org/W4312252863","doi":"https://doi.org/10.1145/3563737.3563750","title":"Prediction of Cognitive Status from the Resting-State fMRI Data by Machine Learning","display_name":"Prediction of Cognitive Status from the Resting-State fMRI Data by Machine Learning","publication_year":2022,"publication_date":"2022-08-19","ids":{"openalex":"https://openalex.org/W4312252863","doi":"https://doi.org/10.1145/3563737.3563750"},"language":"en","primary_location":{"id":"doi:10.1145/3563737.3563750","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563737.3563750","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Biomedical Signal and Image Processing (ICBIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3563737.3563750","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074272535","display_name":"Qiyan Mao","orcid":"https://orcid.org/0000-0001-8627-064X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiyan Mao","raw_affiliation_strings":["Crescent School, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8627-064X","affiliations":[{"raw_affiliation_string":"Crescent School, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100417031","display_name":"Cheng Wang","orcid":"https://orcid.org/0000-0002-9274-9689"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Wang","raw_affiliation_strings":["The Ohio State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University, USA","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.1747331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"84"},"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9836000204086304,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9769999980926514,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7197934985160828},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6976107358932495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6866815686225891},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6590878963470459},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5710164308547974},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5640656352043152},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5214464068412781},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4679528474807739},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4406476616859436},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.41300636529922485},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23256176710128784},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.1564832627773285},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.12953782081604004},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10675743222236633}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7197934985160828},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6976107358932495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866815686225891},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6590878963470459},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5710164308547974},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5640656352043152},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5214464068412781},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4679528474807739},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4406476616859436},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.41300636529922485},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23256176710128784},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.1564832627773285},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.12953782081604004},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10675743222236633}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3563737.3563750","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563737.3563750","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Biomedical Signal and Image Processing (ICBIP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3563737.3563750","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563737.3563750","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Biomedical Signal and Image Processing (ICBIP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1580731962","https://openalex.org/W2288345344","https://openalex.org/W2337323496","https://openalex.org/W2792496527","https://openalex.org/W2795965218","https://openalex.org/W2894069389","https://openalex.org/W2939040895","https://openalex.org/W2946529541","https://openalex.org/W3084440375","https://openalex.org/W3129389051","https://openalex.org/W3151549332","https://openalex.org/W3200886966","https://openalex.org/W3204867366","https://openalex.org/W4220705366","https://openalex.org/W4220746846","https://openalex.org/W4224305479","https://openalex.org/W4225724633","https://openalex.org/W4226240376","https://openalex.org/W4231260343","https://openalex.org/W4281745946"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"Background:":[0],"Machine":[1],"learning-based":[2],"approaches":[3],"can":[4],"provide":[5,115],"quantitative":[6],"identification":[7],"of":[8,12,28,46,82,93,127],"the":[9,13,26,71,75,79,83,90,94,121,128],"cognitive":[10,80,125],"status":[11,81,126],"brain":[14,130],"by":[15],"fMRI,":[16],"which":[17],"is":[18,33],"essential":[19],"to":[20,77,114],"evaluate":[21],"human":[22,84,129],"mental":[23,138],"activities.":[24],"However,":[25],"performance":[27],"traditional":[29],"machine":[30,65,107,136],"learning":[31,66,108],"algorithms":[32],"not":[34],"optimal..":[35],"Methods:":[36],"The":[37,87],"data":[38],"was":[39,56,68,101],"retrieved":[40],"from":[41],"an":[42],"open":[43],"fMRI":[44,48],"dataset":[45],"movie-watching":[47],"data.":[49],"Specifically,":[50],"dynamic":[51],"functional":[52],"connectivity":[53],"analysis":[54],"(DFC)":[55],"calculated":[57],"using":[58,105],"a":[59,116],"sliding-window":[60],"algorithm.":[61],"A":[62],"gradient":[63,95],"boosting":[64,96],"approach":[67],"used":[69],"with":[70,98],"DFC":[72,99],"matrices":[73],"as":[74],"features":[76],"predict":[78],"brain.":[85],"Conclusion:":[86],"area":[88],"under":[89],"curve":[91],"(AUC)":[92],"classifier":[97],"measures":[100],"higher":[102],"than":[103],"that":[104],"conventional":[106],"methods.":[109],"Our":[110],"findings":[111],"are":[112,144],"expected":[113],"better":[117],"theoretical":[118],"basis":[119],"for":[120],"neural":[122],"mechanisms":[123],"underlying":[124],"and":[131,141,148],"shed":[132],"light":[133],"on":[134],"future":[135],"learning-aided":[137],"health.":[139],"Risk":[140],"Safety:":[142],"There":[143],"no":[145],"significant":[146],"risk":[147],"safety":[149],"concerns":[150],"in":[151],"this":[152],"study.":[153]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
