Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74969
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dc.contributorDepartment of Biomedical Engineering-
dc.creatorXu, G-
dc.creatorZhang, M-
dc.creatorWang, Y-
dc.creatorLiu, Z-
dc.creatorHuo, C-
dc.creatorLi, Z-
dc.creatorHuo, M-
dc.date.accessioned2018-03-29T09:34:18Z-
dc.date.available2018-03-29T09:34:18Z-
dc.identifier.urihttp://hdl.handle.net/10397/74969-
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.rights© 2017 Xu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_US
dc.rightsThe following publication: Xu G, Zhang M, Wang Y, Liu Z, Huo C, Li Z, et al. (2017) Functional connectivity analysis of distracted drivers based on the wavelet phase coherence of functional near-infrared spectroscopy signals. PLoS ONE 12(11): e0188329 is available at https://doi.org/10.1371/journal.pone.0188329en_US
dc.titleFunctional connectivity analysis of distracted drivers based on the wavelet phase coherence of functional near-infrared spectroscopy signalsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume12en_US
dc.identifier.issue11en_US
dc.identifier.doi10.1371/journal.pone.0188329en_US
dcterms.abstractThe present study aimed to evaluate the functional connectivity (FC) in relevant cortex areas during simulated driving with distraction based on functional near-infrared spectroscopy (fNIRS) method. Twelve subjects were recruited to perform three types of driving tasks, namely, straight driving, straight driving with secondary auditory task, and straight driving with secondary visual vigilance task, on a driving simulator. The wavelet amplitude (WA) and wavelet phase coherence (WPCO) of the fNIRS signals were calculated in six frequency intervals: I, 0.6–2 Hz; II, 0.145–0.6 Hz; III, 0.052–0.145 Hz; IV, 0.021–0.052 Hz; and V, 0.0095–0.021 Hz, VI, 0.005–0.0095Hz. Results showed that secondary tasks during driving led to worse driving performance, brain activity changes, and dynamic configuration of the connectivity. The significantly lower WA value in the right motor cortex in interval IV, and higher WPCO values in intervals II, V, and VI were found with additional auditory task. Significant standard deviation of speed and lower WA values in the left prefrontal cortex and right prefrontal cortex in interval VI, and lower WPCO values in intervals I, IV, V, and VI were found under the additional visual vigilance task. The results suggest that the changed FC levels in intervals IV, V, and VI were more likely to reflect the driver’s distraction condition. The present study provides new insights into the relationship between distracted driving behavior and brain activity. The method may be used for the evaluation of drivers’ attention level.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationPLoS one, 2017, v. 12, no. 11, e0188329-
dcterms.isPartOfPLoS one-
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85036555565-
dc.identifier.pmid29176895-
dc.identifier.eissn1932-6203en_US
dc.identifier.artne0188329en_US
dc.identifier.rosgroupid2017003577-
dc.description.ros2017-2018 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201803 bcmaen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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