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EEG in motion: Using an oddball task to explore motor interference in active skateboarding.

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Title: EEG in motion: Using an oddball task to explore motor interference in active skateboarding.
Authors: Robles, Daniel (AUTHOR), Kuziek, Jonathan W. P. (AUTHOR), Wlasitz, Nicole A. (AUTHOR), Bartlett, Nathan T. (AUTHOR), Hurd, Pete L. (AUTHOR), Mathewson, Kyle E. (AUTHOR), Gramann, Klaus (AUTHOR)
Source: European Journal of Neuroscience. Dec2021, Vol. 54 Issue 12, p8196-8213. 18p. 1 Diagram, 3 Charts, 6 Graphs.
Subjects: Skateboarding, Skateboards, Electroencephalography, Evoked potentials (Electrophysiology), Portable computers, Brain-computer interfaces
Abstract: Recent advancements in portable computer devices have opened new avenues in the study of human cognition outside research laboratories. This flexibility in methodology has led to the publication of several electroencephalography studies recording brain responses in real‐world scenarios such as cycling and walking outside. In the present study, we tested the classic auditory oddball task while participants moved around an indoor running track using an electric skateboard. This novel approach allows for the study of attention in motion while virtually removing body movement. Using the skateboard auditory oddball paradigm, we found reliable and expected standard–target differences in the P3 and MMN/N2b event‐related potentials. We also recorded baseline electroencephalography activity and found that, compared to this baseline, alpha power is attenuated in frontal and parietal regions during skateboarding. In order to explore the influence of motor interference in cognitive resources during skateboarding, we compared participants' preferred riding stance (baseline level of riding difficulty) versus their non‐preferred stance (increased level of riding difficulty). We found that an increase in riding difficulty did not modulate the P3 and tonic alpha amplitude during skateboard motion. These results suggest that increases in motor demands might not lead to reductions in cognitive resources as shown in previous literature. [ABSTRACT FROM AUTHOR]
Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: EEG in motion: Using an oddball task to explore motor interference in active skateboarding.
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  Data: <searchLink fieldCode="AR" term="%22Robles%2C+Daniel%22">Robles, Daniel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kuziek%2C+Jonathan+W%2E+P%2E%22">Kuziek, Jonathan W. P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wlasitz%2C+Nicole+A%2E%22">Wlasitz, Nicole A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bartlett%2C+Nathan+T%2E%22">Bartlett, Nathan T.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hurd%2C+Pete+L%2E%22">Hurd, Pete L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mathewson%2C+Kyle+E%2E%22">Mathewson, Kyle E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gramann%2C+Klaus%22">Gramann, Klaus</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22European+Journal+of+Neuroscience%22">European Journal of Neuroscience</searchLink>. Dec2021, Vol. 54 Issue 12, p8196-8213. 18p. 1 Diagram, 3 Charts, 6 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Skateboarding%22">Skateboarding</searchLink><br /><searchLink fieldCode="DE" term="%22Skateboards%22">Skateboards</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Evoked+potentials+%28Electrophysiology%29%22">Evoked potentials (Electrophysiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Portable+computers%22">Portable computers</searchLink><br /><searchLink fieldCode="DE" term="%22Brain-computer+interfaces%22">Brain-computer interfaces</searchLink>
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  Data: Recent advancements in portable computer devices have opened new avenues in the study of human cognition outside research laboratories. This flexibility in methodology has led to the publication of several electroencephalography studies recording brain responses in real‐world scenarios such as cycling and walking outside. In the present study, we tested the classic auditory oddball task while participants moved around an indoor running track using an electric skateboard. This novel approach allows for the study of attention in motion while virtually removing body movement. Using the skateboard auditory oddball paradigm, we found reliable and expected standard–target differences in the P3 and MMN/N2b event‐related potentials. We also recorded baseline electroencephalography activity and found that, compared to this baseline, alpha power is attenuated in frontal and parietal regions during skateboarding. In order to explore the influence of motor interference in cognitive resources during skateboarding, we compared participants' preferred riding stance (baseline level of riding difficulty) versus their non‐preferred stance (increased level of riding difficulty). We found that an increase in riding difficulty did not modulate the P3 and tonic alpha amplitude during skateboard motion. These results suggest that increases in motor demands might not lead to reductions in cognitive resources as shown in previous literature. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of European Journal of Neuroscience is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Dec2021
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              Y: 2021
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