{"doi":"10.1587/nolta.14.559","title":"Assessment of functional connectivity induced by driving experience","abstract":null,"journal":"Nonlinear Theory and Its Applications, IEICE","year":2023,"id":623359,"datarank":0.20794415416798362,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"self_citation_contribution":0.20794415416798362,"citation_network_contribution":0.0,"self_endowment_contribution":0.20794415416798362,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1610951,"name":"Keita Otsu","orcid":"0000-0002-3358-0270","position":1,"is_corresponding":false},{"id":1610953,"name":"Sou Nobukawa","orcid":"0000-0001-7003-6912","position":2,"is_corresponding":false},{"id":755073,"name":"Nobuhiko Wagatsuma","orcid":"0000-0001-9090-9223","position":3,"is_corresponding":false},{"id":1592183,"name":"Keiichiro Inagaki","orcid":"0000-0002-4632-9819","position":4,"is_corresponding":false},{"id":1610950,"name":"Masahiro Tsurushima","orcid":"0000-0003-0800-1879","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Assessment of functional connectivity induced by driving experience","abstract":"Recently, an importance of estimating driver's experiences has been recognized in advanced driver assistant systems. Furthermore, neuro-imaging studies showed that the characteristics of functional whole-brain networks, typified as functional connectivity, strongly reflect driving performance. In this study, we estimated functional connectivity through electroencephalogram (EEG) signals while watching a driving scene by phase lag index (PLI) with high spatio-temporal resolution and compared the functional connectivity between beginner and expert groups for driving. The results showed significantly enhanced gamma-band functional connectivity in the expert groups. Therefore, the PLI approach could be utilized for estimating driving performance in the advanced driver assistant systems.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W4361991134","authors":[],"funders":[],"total_grants":0,"fwci":0.3043,"citation_percentile":0.52063245,"influential_citations":0,"citation_trend":[{"year":2023,"count":1},{"year":2024,"count":1}],"oa_status":"gold","license":"cc-by-nc-nd","oa_locations":[{"url":"https://www.jstage.jst.go.jp/article/nolta/14/2/14_559/_pdf","host_type":"journal"},{"url":"https://www.jstage.jst.go.jp/article/nolta/14/2/14_559/_pdf","host_type":"publisher"},{"url":"https://doi.org/10.1587/nolta.14.559","host_type":"journal"}],"fields_of_study":["EEG and Brain-Computer Interfaces","Heart Rate Variability and Autonomic Control","Sleep and Work-Related Fatigue"],"mesh_terms":[],"keywords":["Functional connectivity","Computer science","Dynamic functional connectivity","Phase lag","Electroencephalography","Functional imaging","Artificial intelligence","Neuroscience","Machine learning","Psychology","Mathematics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T23:27:23.044400Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}