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By conducting a linear regression analysis of subject-specific brain networks in different frequency bands, this research aims to elucidate the relationships between frequency-specific connectivity patterns and driving fatigue. As such, an EEG sustained driving simulation experiment was carried out, estimating individuals\u2019 brain networks using the Phase Lag Index (PLI) to capture shared connectivity patterns. The results unveiled notable variability in connectivity patterns across frequency bands, with the alpha band exhibiting heightened sensitivity to driving fatigue. Individualized connectivity analysis underscored the complexity of fatigue assessment and the potential for personalized approaches. These findings emphasize the importance of subject-specific brain networks in comprehending fatigue dynamics, while providing sensor space minimization, advocating for the development of efficient mobile sensor applications for real-time fatigue detection in driving scenarios.<\/jats:p>","DOI":"10.3390\/s24123894","type":"journal-article","created":{"date-parts":[[2024,6,17]],"date-time":"2024-06-17T06:29:43Z","timestamp":1718605783000},"page":"3894","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics"],"prefix":"10.3390","volume":"24","author":[{"given":"Olympia","family":"Giannakopoulou","sequence":"first","affiliation":[{"name":"Biomedical Engineering Laboratory, National Technical University of Athens, 15772 Athens, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8365-2140","authenticated-orcid":false,"given":"Ioannis","family":"Kakkos","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Laboratory, National Technical University of Athens, 15772 Athens, Greece"},{"name":"Department of Biomedical Engineering, University of West Attica, 12243 Athens, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7817-9552","authenticated-orcid":false,"given":"Georgios N.","family":"Dimitrakopoulos","sequence":"additional","affiliation":[{"name":"Department of Informatics, Ionian University, 49100 Corfu, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0835-3751","authenticated-orcid":false,"given":"Marilena","family":"Tarousi","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Laboratory, National Technical University of Athens, 15772 Athens, Greece"}]},{"given":"Yu","family":"Sun","sequence":"additional","affiliation":[{"name":"Key Laboratory for Biomedical Engineering of Ministry of Education of China, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8199-6000","authenticated-orcid":false,"given":"Anastasios","family":"Bezerianos","sequence":"additional","affiliation":[{"name":"Brain Dynamics Laboratory, Barrow Neurological Institute (BNI), St. Joseph\u2019s Hospital and Medical Center, Phoenix, AZ 85013, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1205-9918","authenticated-orcid":false,"given":"Dimitrios D.","family":"Koutsouris","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Laboratory, National Technical University of Athens, 15772 Athens, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2600-9914","authenticated-orcid":false,"given":"George K.","family":"Matsopoulos","sequence":"additional","affiliation":[{"name":"Biomedical Engineering Laboratory, National Technical University of Athens, 15772 Athens, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,16]]},"reference":[{"key":"ref_1","first-page":"e245641","article-title":"Modeling and Recognizing Driver Behavior Based on Driving Data: A Survey","volume":"2014","author":"Wang","year":"2014","journal-title":"Math. 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