{"id":"https://openalex.org/W7125588364","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340062","title":"A Machine Learning Pipeline for Evaluating Pre-Stimulus EEG Features and Their Impact on Post-Stimulus TMS-EEG Responses","display_name":"A Machine Learning Pipeline for Evaluating Pre-Stimulus EEG Features and Their Impact on Post-Stimulus TMS-EEG Responses","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125588364","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340062"},"language":"en","primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5001461303","display_name":"Sadaf Moaveninejad","orcid":"https://orcid.org/0000-0003-2144-4412"},"institutions":[{"id":"https://openalex.org/I4210113153","display_name":"Neuroscience Institute","ror":"https://ror.org/0240rwx68","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210113153","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sadaf Moaveninejad","raw_affiliation_strings":["University of Padova,Biomedical engineering Research to Advance and Innovate translational Neuroscience (BRAIN Unit),Department of Neuroscience,Padova,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova,Biomedical engineering Research to Advance and Innovate translational Neuroscience (BRAIN Unit),Department of Neuroscience,Padova,Italy","institution_ids":["https://openalex.org/I4210113153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075789449","display_name":"Antonio Luigi Bisogno","orcid":"https://orcid.org/0000-0003-0587-6709"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Luigi Bisogno","raw_affiliation_strings":["Padova Neuroscience Center University of Padova,Department of Neuroscience,Padova,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Padova Neuroscience Center University of Padova,Department of Neuroscience,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074346004","display_name":"Simone Cauzzo","orcid":"https://orcid.org/0000-0002-9237-5269"},"institutions":[{"id":"https://openalex.org/I4210113153","display_name":"Neuroscience Institute","ror":"https://ror.org/0240rwx68","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210113153","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Cauzzo","raw_affiliation_strings":["University of Padova,Biomedical engineering Research to Advance and Innovate translational Neuroscience (BRAIN Unit) Parkinson Disease and Movement Disorders Unit,Department of Neuroscience,Padova,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padova,Biomedical engineering Research to Advance and Innovate translational Neuroscience (BRAIN Unit) Parkinson Disease and Movement Disorders Unit,Department of Neuroscience,Padova,Italy","institution_ids":["https://openalex.org/I4210113153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081199735","display_name":"Maurizio Corbetta","orcid":"https://orcid.org/0000-0001-8295-3304"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maurizio Corbetta","raw_affiliation_strings":["Padova Neuroscience Center University of Padova,Department of Neuroscience,Padova,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Padova Neuroscience Center University of Padova,Department of Neuroscience,Padova,Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011146128","display_name":"Camillo Porcaro","orcid":"https://orcid.org/0000-0003-4847-163X"},"institutions":[{"id":"https://openalex.org/I4210113153","display_name":"Neuroscience Institute","ror":"https://ror.org/0240rwx68","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210113153","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Camillo Porcaro","raw_affiliation_strings":["Padova Neuroscience Center, University of Padova,Biomedical engineering Research to Advance and Innovate translational Neuroscience (BRAINUnit),Department of Neuroscience,Padova,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Padova Neuroscience Center, University of Padova,Biomedical engineering Research to Advance and Innovate translational Neuroscience (BRAINUnit),Department of Neuroscience,Padova,Italy","institution_ids":["https://openalex.org/I4210113153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"91","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10614","display_name":"Transcranial Magnetic Stimulation Studies","score":0.9176999926567078,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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/T10614","display_name":"Transcranial Magnetic Stimulation Studies","score":0.9176999926567078,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"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":0.022099999710917473,"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":0.01810000091791153,"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/pipeline","display_name":"Pipeline (software)","score":0.6657000184059143},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6133999824523926},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.490200012922287},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4652999937534332},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45649999380111694},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4032999873161316},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.39590001106262207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38420000672340393},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.3833000063896179}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7120000123977661},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6657000184059143},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6133999824523926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968999862670898},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5891000032424927},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.490200012922287},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4652999937534332},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45649999380111694},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4032999873161316},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.39590001106262207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3833000063896179},{"id":"https://openalex.org/C2778581513","wikidata":"https://www.wikidata.org/wiki/Q263962","display_name":"Transcranial magnetic stimulation","level":3,"score":0.37619999051094055},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.2766000032424927},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340062","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","raw_type":"proceedings-article"},{"id":"pmh:oai:www.research.unipd.it:11577/3576611","is_oa":false,"landing_page_url":"https://hdl.handle.net/11577/3576611","pdf_url":null,"source":{"id":"https://openalex.org/S4306402547","display_name":"Padua Research Archive (University of Padova)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138689650","host_organization_name":"University of Padua","host_organization_lineage":["https://openalex.org/I138689650"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313980","display_name":"Universiteti Europian i Tiran\u00ebs","ror":"https://ror.org/05r7c5x85"},{"id":"https://openalex.org/F8624838194","display_name":"Canadian Pacific Kansas City","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1981937980","https://openalex.org/W1989758052","https://openalex.org/W2024446380","https://openalex.org/W2114864644","https://openalex.org/W2128495200","https://openalex.org/W2133947591","https://openalex.org/W2140358254","https://openalex.org/W2536427815","https://openalex.org/W2898524175","https://openalex.org/W2901309739","https://openalex.org/W2949606941","https://openalex.org/W2959546607","https://openalex.org/W2974100836","https://openalex.org/W3023156586","https://openalex.org/W3127317385","https://openalex.org/W3129306144","https://openalex.org/W4200130382","https://openalex.org/W4295037454","https://openalex.org/W4388997175","https://openalex.org/W4392720123","https://openalex.org/W4406324901"],"related_works":[],"abstract_inverted_index":{"Transcranial":[0],"magnetic":[1],"stimulation":[2],"(TMS)":[3],"combined":[4],"with":[5],"electroencephalography":[6],"(EEG)":[7],"offers":[8],"a":[9,54,117],"direct":[10],"window":[11],"into":[12],"cortical":[13],"excitability":[14],"and":[15,66,76,86,95,122,133,147,154],"connectivity.":[16],"Among":[17],"several":[18],"TMS-evoked":[19],"potential":[20],"(TEP)":[21],"metrics,":[22],"the":[23,27,31,35,39,102,112,128],"absolute":[24],"area":[25],"under":[26],"curve":[28],"(AUC)":[29],"reflects":[30],"total":[32],"energy":[33],"of":[34,120,130],"post-stimulus":[36,70],"response.":[37],"However,":[38],"extent":[40],"to":[41,59,150],"which":[42],"pre-stimulus":[43,63],"neural":[44],"features":[45,149],"influence":[46],"these":[47],"responses":[48],"remains":[49],"unclear.":[50],"This":[51],"study":[52],"presents":[53],"transparent":[55],"machine":[56],"learning":[57],"pipeline":[58],"systematically":[60],"evaluate":[61],"how":[62],"spectral":[64,121],"power":[65,94],"complexity":[67],"measures":[68],"predict":[69],"TEPs.":[71],"Methodological":[72],"choices-including":[73],"scaling":[74],"techniques":[75],"feature":[77,114],"selection":[78],"methods":[79],"(mutual":[80],"information,":[81],"LASSO,":[82],"f-regression)-were":[83],"rigorously":[84],"compared":[85],"validated.":[87],"The":[88,106],"results":[89],"demonstrate":[90],"that":[91],"gamma":[92],"band":[93],"Higuchi":[96],"Fractal":[97],"Dimension":[98],"(HFD)":[99],"consistently":[100],"yield":[101],"highest":[103],"predictive":[104],"relevance.":[105],"best":[107],"performance":[108],"was":[109],"achieved":[110],"using":[111],"full":[113],"set,":[115],"suggesting":[116],"complementary":[118],"role":[119],"nonlinear":[123],"features.":[124],"These":[125],"findings":[126],"emphasize":[127],"importance":[129],"methodological":[131],"transparency":[132],"robust":[134],"validation":[135],"in":[136],"TMS-EEG":[137],"analysis.":[138],"Future":[139],"work":[140],"may":[141],"benefit":[142],"from":[143],"incorporating":[144],"subject-specific":[145],"modeling":[146],"connectivity-based":[148],"enhance":[151],"both":[152],"prediction":[153],"neuroscientific":[155],"insight.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-25T00:00:00"}
