{"id":"https://openalex.org/W4393074601","doi":"https://doi.org/10.1088/2632-2153/ad370d","title":"Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson\u2019s disease even being under medication","display_name":"Ensemble classifiers fed by functional connectivity during cognitive processing differentiate Parkinson\u2019s disease even being under medication","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4393074601","doi":"https://doi.org/10.1088/2632-2153/ad370d"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ad370d","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad370d","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad370d/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad370d/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023477259","display_name":"Emine Elif T\u00fclay","orcid":"https://orcid.org/0000-0003-0150-5476"},"institutions":[{"id":"https://openalex.org/I79946792","display_name":"Mu\u011fla University","ror":"https://ror.org/05n2cz176","country_code":"TR","type":"education","lineage":["https://openalex.org/I79946792"]},{"id":"https://openalex.org/I97750245","display_name":"Software (Spain)","ror":"https://ror.org/02ethns06","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210087817","https://openalex.org/I97750245"]}],"countries":["ES","TR"],"is_corresponding":true,"raw_author_name":"Emine Elif T\u00fclay","raw_affiliation_strings":["Department of Software Engineering, Mu\u011fla S\u0131tk\u0131 Ko\u00e7man University, Mu\u011fla S\u0131tk\u0131 Ko\u00e7man University Faculty of Engineering Department of Software Engineering K\u00f6tekli, Mugla, Mugla, 48000, TURKEY"],"raw_orcid":"https://orcid.org/0000-0003-0150-5476","affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Mu\u011fla S\u0131tk\u0131 Ko\u00e7man University, Mu\u011fla S\u0131tk\u0131 Ko\u00e7man University Faculty of Engineering Department of Software Engineering K\u00f6tekli, Mugla, Mugla, 48000, TURKEY","institution_ids":["https://openalex.org/I79946792","https://openalex.org/I97750245"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023477259"],"corresponding_institution_ids":["https://openalex.org/I79946792","https://openalex.org/I97750245"],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03699833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"2","first_page":"025001","last_page":"025001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9883000254631042,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9883000254631042,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9854999780654907,"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/T10919","display_name":"Neurological disorders and treatments","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/functional-connectivity","display_name":"Functional connectivity","score":0.6130596399307251},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5560007691383362},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4749752879142761},{"id":"https://openalex.org/keywords/parkinsons-disease","display_name":"Parkinson's disease","score":0.4691164791584015},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.429464191198349},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.42435771226882935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3890089690685272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35888808965682983},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3575110137462616},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3040652871131897},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09186241030693054}],"concepts":[{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.6130596399307251},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5560007691383362},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4749752879142761},{"id":"https://openalex.org/C2779734285","wikidata":"https://www.wikidata.org/wiki/Q11085","display_name":"Parkinson's disease","level":3,"score":0.4691164791584015},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.429464191198349},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.42435771226882935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3890089690685272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35888808965682983},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3575110137462616},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3040652871131897},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09186241030693054}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2632-2153/ad370d","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad370d","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad370d/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ea104d837c044f9e9eb046a6cf37395b","is_oa":true,"landing_page_url":"https://doaj.org/article/ea104d837c044f9e9eb046a6cf37395b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning: Science and Technology, Vol 5, Iss 2, p 025001 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ad370d","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ad370d","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ad370d/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393074601.pdf"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1968969471","https://openalex.org/W1984753123","https://openalex.org/W1986381927","https://openalex.org/W2000946012","https://openalex.org/W2014535119","https://openalex.org/W2014915963","https://openalex.org/W2016606444","https://openalex.org/W2021945797","https://openalex.org/W2026834521","https://openalex.org/W2036007897","https://openalex.org/W2049075351","https://openalex.org/W2051592724","https://openalex.org/W2061564920","https://openalex.org/W2075407182","https://openalex.org/W2079426910","https://openalex.org/W2082932763","https://openalex.org/W2104731571","https://openalex.org/W2113216735","https://openalex.org/W2145653173","https://openalex.org/W2146540123","https://openalex.org/W2166073443","https://openalex.org/W2213175826","https://openalex.org/W2227520796","https://openalex.org/W2281923782","https://openalex.org/W2518256346","https://openalex.org/W2546380268","https://openalex.org/W2559749850","https://openalex.org/W2581439063","https://openalex.org/W2619586475","https://openalex.org/W2774028739","https://openalex.org/W2790665491","https://openalex.org/W2792602051","https://openalex.org/W2803401196","https://openalex.org/W2808857443","https://openalex.org/W2889245000","https://openalex.org/W2911964244","https://openalex.org/W2944781452","https://openalex.org/W3006640819","https://openalex.org/W3013344581","https://openalex.org/W3017253582","https://openalex.org/W3018343579","https://openalex.org/W3024619328","https://openalex.org/W3037893502","https://openalex.org/W3080914981","https://openalex.org/W3091698088","https://openalex.org/W3104537384","https://openalex.org/W3107699554","https://openalex.org/W3158559908","https://openalex.org/W3170611527","https://openalex.org/W3197904180","https://openalex.org/W3206678152","https://openalex.org/W3208480795","https://openalex.org/W3208729248","https://openalex.org/W4206481149","https://openalex.org/W4206497368","https://openalex.org/W4212902568","https://openalex.org/W4223424636","https://openalex.org/W4224218937","https://openalex.org/W4229452952","https://openalex.org/W4283166027","https://openalex.org/W4288033634","https://openalex.org/W4289537837","https://openalex.org/W4294793288","https://openalex.org/W4295638681","https://openalex.org/W4296194840","https://openalex.org/W4304124250","https://openalex.org/W4306932146","https://openalex.org/W4308260657","https://openalex.org/W4310074525","https://openalex.org/W4313526317","https://openalex.org/W4327954168","https://openalex.org/W4328050789","https://openalex.org/W4362600440","https://openalex.org/W4366991755","https://openalex.org/W4378470183","https://openalex.org/W4387546208","https://openalex.org/W6694745694","https://openalex.org/W6963299126"],"related_works":["https://openalex.org/W2229271988","https://openalex.org/W438207291","https://openalex.org/W359363153","https://openalex.org/W4390260856","https://openalex.org/W2488885269","https://openalex.org/W4232930495","https://openalex.org/W3150365316","https://openalex.org/W4249198391","https://openalex.org/W1588488665","https://openalex.org/W3134596587"],"abstract_inverted_index":{"Abstract":[0],"Brain\u2013computer":[1],"interface":[2],"technologies,":[3],"as":[4,278,280],"a":[5,11,30,42,75,84,245],"type":[6],"of":[7,36,77,91,128,174,193,251,258,284],"human-computer":[8],"interaction,":[9],"provide":[10],"control":[12],"ability":[13],"on":[14,79],"machines":[15],"and":[16,69,139,141,160,167,204,234,276],"intelligent":[17],"systems":[18],"via":[19,256],"human":[20],"brain":[21,81,270],"functions":[22],"without":[23],"needing":[24],"physical":[25],"contact.":[26],"Moreover,":[27,177],"it":[28],"has":[29],"considerable":[31],"contribution":[32],"to":[33,66,88,134,164,222,273],"the":[34,89,129,149,179,211,218,262,266,281,288],"detection":[35],"cognitive":[37,85,114],"state":[38,283],"changes,":[39],"which":[40,107],"gives":[41],"clue":[43],"for":[44,195,200,206],"neurodegenerative":[45],"diseases,":[46],"including":[47],"Parkinson\u2019s":[48],"disease":[49],"(PD),":[50],"in":[51,122,155,162,172,178,253,261,287],"recent":[52],"years.":[53],"Although":[54],"various":[55],"studies":[56],"implemented":[57],"different":[58,123],"machine":[59],"learning":[60],"models":[61],"with":[62,118,190,230,238,248],"several":[63],"EEG":[64],"features":[65,121],"detect":[67],"PD":[68,136,275],"receive":[70],"remarkable":[71,151],"performances,":[72,233],"there":[73],"is":[74],"lack":[76],"knowledge":[78],"how":[80],"connectivity":[82,112,271],"during":[83],"task":[86],"contributes":[87,272],"differentiation":[90],"PD,":[92,285],"even":[93],"being":[94],"under":[95],"medication.":[96],"To":[97],"fill":[98],"this":[99,101,242],"gap,":[100],"study":[102,243],"used":[103],"three":[104],"ensemble":[105],"classifiers,":[106],"were":[108,153,217],"fed":[109],"by":[110],"functional":[111],"through":[113],"response":[115],"coherence":[116],"(CRC)":[117],"varying":[119],"selected":[120],"frequency":[124,157,166,290],"bands":[125,158],"upon":[126],"application":[127],"3-Stimulation":[130],"auditory":[131],"oddball":[132],"paradigm":[133],"differentiate":[135],"medication":[137,282],"ON":[138],"OFF":[140],"healthy":[142],"controls":[143],"(HC).":[144],"The":[145],"results":[146],"revealed":[147,268],"that":[148,269],"most":[150,219],"performances":[152],"exhibited":[154],"slow":[156,289],"(delta":[159],"theta)":[161],"comparison":[163],"high":[165],"wide":[168],"range":[169],"bands,":[170],"especially":[171,286],"terms":[173],"target":[175,182,215],"sounds.":[176],"delta":[180,263],"band,":[181,213],"CRC":[183,257],"distinguishes":[184],"all":[185],"groups":[186],"from":[187],"each":[188],"other":[189],"accuracy":[191,250],"rates":[192],"80%":[194,199],"HC":[196,201,277],"vs":[197,202,208],"PD-OFF,":[198],"PD-ON,":[203],"81%":[205],"PD-ON":[207],"PD-OFF.":[209],"In":[210],"theta":[212],"again":[214],"sounds":[216,260],"distinctive":[220],"stimuli":[221],"classify":[223],"HCxPD-OFF":[224],"(80%":[225],"accuracy),":[226],"HCxPD-ON":[227],"(80.5%":[228],"accuracy)":[229,237],"quite":[231],"good":[232],"PD-ONxPD-OFF":[235,255],"(76%":[236],"acceptable":[239],"performance.":[240],"Besides,":[241],"achieved":[244],"state-of-the-art":[246],"performance":[247],"an":[249],"87.5%":[252],"classifying":[254],"standard":[259],"band.":[264],"Overall,":[265],"findings":[267],"identifying":[274],"well":[279],"bands.":[291]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}