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Age-Related Changes in Attentional Refocusing during Simulated Driving

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Age-Related Changes in Attentional Refocusing during Simulated Driving. / Huizeling, Eleanor; Wang, Hongfang; Holland, Carol et al.
In: Brain Sciences, Vol. 10, No. 8, 530, 07.08.2020.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Huizeling, E, Wang, H, Holland, C & Kessler, K 2020, 'Age-Related Changes in Attentional Refocusing during Simulated Driving', Brain Sciences, vol. 10, no. 8, 530. https://doi.org/10.3390/brainsci10080530

APA

Huizeling, E., Wang, H., Holland, C., & Kessler, K. (2020). Age-Related Changes in Attentional Refocusing during Simulated Driving. Brain Sciences, 10(8), Article 530. https://doi.org/10.3390/brainsci10080530

Vancouver

Huizeling E, Wang H, Holland C, Kessler K. Age-Related Changes in Attentional Refocusing during Simulated Driving. Brain Sciences. 2020 Aug 7;10(8):530. doi: 10.3390/brainsci10080530

Author

Huizeling, Eleanor ; Wang, Hongfang ; Holland, Carol et al. / Age-Related Changes in Attentional Refocusing during Simulated Driving. In: Brain Sciences. 2020 ; Vol. 10, No. 8.

Bibtex

@article{649256af68e142e6813d2527c996e1ab,
title = "Age-Related Changes in Attentional Refocusing during Simulated Driving",
abstract = "We recently reported that refocusing attention between temporal and spatial tasks becomes more difficult with increasing age, which could impair daily activities such as driving (Callaghan et al., 2017). Here, we investigated the extent to which difficulties in refocusing attention extend to naturalistic settings such as simulated driving. A total of 118 participants in five age groups (18–30; 40–49; 50–59; 60–69; 70–91 years) were compared during continuous simulated driving, where they repeatedly switched from braking due to traffic ahead (a spatially focal yet temporally complex task) to reading a motorway road sign (a spatially more distributed task). Sequential-Task (switching) performance was compared to Single-Task performance (road sign only) to calculate age-related switch-costs. Electroencephalography was recorded in 34 participants (17 in the 18–30 and 17 in the 60+ years groups) to explore age-related changes in the neural oscillatory signatures of refocusing attention while driving. We indeed observed age-related impairments in attentional refocusing, evidenced by increased switch-costs in response times and by deficient modulation of theta and alpha frequencies. Our findings highlight virtual reality (VR) and Neuro-VR as important methodologies for future psychological and gerontological research.",
keywords = "ageing, simulated driving, attention, switching costs, neural oscillations, Neuro-VR",
author = "Eleanor Huizeling and Hongfang Wang and Carol Holland and Klaus Kessler",
year = "2020",
month = aug,
day = "7",
doi = "10.3390/brainsci10080530",
language = "English",
volume = "10",
journal = "Brain Sciences",
issn = "2076-3425",
publisher = "Multidisciplinary Digital Publishing Institute",
number = "8",

}

RIS

TY - JOUR

T1 - Age-Related Changes in Attentional Refocusing during Simulated Driving

AU - Huizeling, Eleanor

AU - Wang, Hongfang

AU - Holland, Carol

AU - Kessler, Klaus

PY - 2020/8/7

Y1 - 2020/8/7

N2 - We recently reported that refocusing attention between temporal and spatial tasks becomes more difficult with increasing age, which could impair daily activities such as driving (Callaghan et al., 2017). Here, we investigated the extent to which difficulties in refocusing attention extend to naturalistic settings such as simulated driving. A total of 118 participants in five age groups (18–30; 40–49; 50–59; 60–69; 70–91 years) were compared during continuous simulated driving, where they repeatedly switched from braking due to traffic ahead (a spatially focal yet temporally complex task) to reading a motorway road sign (a spatially more distributed task). Sequential-Task (switching) performance was compared to Single-Task performance (road sign only) to calculate age-related switch-costs. Electroencephalography was recorded in 34 participants (17 in the 18–30 and 17 in the 60+ years groups) to explore age-related changes in the neural oscillatory signatures of refocusing attention while driving. We indeed observed age-related impairments in attentional refocusing, evidenced by increased switch-costs in response times and by deficient modulation of theta and alpha frequencies. Our findings highlight virtual reality (VR) and Neuro-VR as important methodologies for future psychological and gerontological research.

AB - We recently reported that refocusing attention between temporal and spatial tasks becomes more difficult with increasing age, which could impair daily activities such as driving (Callaghan et al., 2017). Here, we investigated the extent to which difficulties in refocusing attention extend to naturalistic settings such as simulated driving. A total of 118 participants in five age groups (18–30; 40–49; 50–59; 60–69; 70–91 years) were compared during continuous simulated driving, where they repeatedly switched from braking due to traffic ahead (a spatially focal yet temporally complex task) to reading a motorway road sign (a spatially more distributed task). Sequential-Task (switching) performance was compared to Single-Task performance (road sign only) to calculate age-related switch-costs. Electroencephalography was recorded in 34 participants (17 in the 18–30 and 17 in the 60+ years groups) to explore age-related changes in the neural oscillatory signatures of refocusing attention while driving. We indeed observed age-related impairments in attentional refocusing, evidenced by increased switch-costs in response times and by deficient modulation of theta and alpha frequencies. Our findings highlight virtual reality (VR) and Neuro-VR as important methodologies for future psychological and gerontological research.

KW - ageing

KW - simulated driving

KW - attention

KW - switching costs

KW - neural oscillations

KW - Neuro-VR

U2 - 10.3390/brainsci10080530

DO - 10.3390/brainsci10080530

M3 - Journal article

VL - 10

JO - Brain Sciences

JF - Brain Sciences

SN - 2076-3425

IS - 8

M1 - 530

ER -