Literature DB >> 33711078

Cerebral haemodynamics during simulated driving: Changes in workload are detectable with functional near infrared spectroscopy.

Peter M Bloomfield1, Hayden Green1, Nicholas Gant1,2.   

Abstract

Motor vehicle operation is a complicated task and substantial cognitive resources are required for safe driving. Experimental paradigms examining cognitive workload using driving simulators often introduce secondary tasks, such as mathematical exercises, or utilise simulated in-vehicle information systems. The effects of manipulating the demands of the primary driving task have not been examined in detail using advanced neuroimaging techniques. This study used a manipulation of the simulated driving environment to test the impact of increased driving complexity on brain activity. Fifteen participants drove in two scenarios reflecting common driving environments differing in the amount of vehicular traffic, frequency of intersections, number of buildings, and speed limit restrictions. Functional near infrared spectroscopy was used to quantify changes in cortical activity; fifty-five optodes were placed over the prefrontal and occipital cortices, commonly assessed areas during driving. Compared to baseline, both scenarios increased oxyhaemoglobin in the bilateral prefrontal cortex and cerebral blood volume in the right prefrontal cortex (all p ≤ 0.05). Deoxyhaemoglobin decreased at the bilateral aspects of the prefrontal cortex but overall tended to increase in the medial aspect during both scenarios (both p ≤ 0.05). Cerebral oxygen exchange significantly declined at the lateral aspects of the prefrontal cortex, with a small but significant increase seen in the medial aspect (both p < 0.05). There were no significant differences for oxyhaemoglobin, deoxyhaemoglobin, or cerebral blood volume (all p > 0.05). This study demonstrates that functional near infrared spectroscopy is capable of detecting changes in cortical activity elicited by simulated driving tasks but may be less sensitive to variations in driving workload aggregated over a longer duration.

Entities:  

Year:  2021        PMID: 33711078      PMCID: PMC7954296          DOI: 10.1371/journal.pone.0248533

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  23 in total

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Authors:  Gary Strangman; Joseph P Culver; John H Thompson; David A Boas
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Review 2.  Near-infrared spectroscopy as a tool for driving research.

Authors:  Tao Liu; Matthew Pelowski; Changle Pang; Yuanji Zhou; Jianfeng Cai
Journal:  Ergonomics       Date:  2015-09-11       Impact factor: 2.778

3.  Lane keeping under cognitive load: performance changes and mechanisms.

Authors:  Jibo He; Jason S McCarley; Arthur F Kramer
Journal:  Hum Factors       Date:  2014-03       Impact factor: 2.888

4.  Spatial registration of multichannel multi-subject fNIRS data to MNI space without MRI.

Authors:  Archana K Singh; Masako Okamoto; Haruka Dan; Valer Jurcak; Ippeita Dan
Journal:  Neuroimage       Date:  2005-10-01       Impact factor: 6.556

5.  Illuminating the BOLD signal: combined fMRI-fNIRS studies.

Authors:  Jens Steinbrink; Arno Villringer; Florian Kempf; Daniel Haux; Stefanie Boden; Hellmuth Obrig
Journal:  Magn Reson Imaging       Date:  2006-03-20       Impact factor: 2.546

6.  Brain activation during fast driving in a driving simulator: the role of the lateral prefrontal cortex.

Authors:  Lutz Jäncke; Béatrice Brunner; Michaela Esslen
Journal:  Neuroreport       Date:  2008-07-16       Impact factor: 1.837

7.  Prefrontal cortical activation while viewing urban and garden scenes: A pilot fNIRS study.

Authors:  Angelia Sia; Roger Ho
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2017-07

8.  Methods of quantitating cerebral near infrared spectroscopy data.

Authors:  M Cope; D T Delpy; E O Reynolds; S Wray; J Wyatt; P van der Zee
Journal:  Adv Exp Med Biol       Date:  1988       Impact factor: 2.622

Review 9.  HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.

Authors:  Theodore J Huppert; Solomon G Diamond; Maria A Franceschini; David A Boas
Journal:  Appl Opt       Date:  2009-04-01       Impact factor: 1.980

Review 10.  Frontal-subcortical circuitry and behavior.

Authors:  Raphael M Bonelli; Jeffrey L Cummings
Journal:  Dialogues Clin Neurosci       Date:  2007       Impact factor: 5.986

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