A ride in the park: Cycling in different outdoor environments modulates the auditory evoked potentials

Scanlon, Joanna E. M.; Redman, Eden X.; Kuziek, Jonathan W. P.; Mathewson, Kyle E.

doi:10.1016/j.ijpsycho.2020.02.016

Cited by 22 publications

(26 citation statements)

References 58 publications

(90 reference statements)

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“…For instance, Protzak and Gramann (2018) found that ERPs differed between laboratory and real-world driving tasks and points towards caution when comparing EEG outcomes from real-world tasks and simulated environments. In line with that, Ladouce et al (2019) observed modulations of ERPs when comparing treadmill walking with hallway walking, and Scanlon et al (2020) reported modulations of ERPs in noisy compared with less noisy environments. Similar findings were observed by Reinecke et al (2011), demonstrating a significant difference in frontal theta power when comparing laboratory and field golfing.…”

Section: Key Finding 1: Potential To Conduct Experiments In Real-worl...supporting

confidence: 76%

Ecological validity in exercise neuroscience research: A systematic investigation

Chang

Büchel

Reinecke

et al. 2022

Eur J of Neuroscience

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The contribution of cortical processes to adaptive motor behaviour is of great interest in the field of exercise neuroscience. Next to established criteria of objectivity, reliability and validity, ecological validity refers to the concerns of whether measurements and behaviour in research settings are representative of the real world. Because exercise neuroscience investigations using mobile electroencephalography are oftentimes conducted in laboratory settings under controlled environments, methodological approaches may interfere with the idea of ecological validity. This review utilizes an original ecological validity tool to assess the degree of ecological validity in current exercise neuroscience research. A systematic literature search was conducted to identify articles investigating cortical dynamics during goal-directed sports movement. To assess ecological validity, five elements (environment, stimulus, response, body and mind) were assessed on a continuum of artificiality-naturality and simplicity-complexity. Forty-seven studies were included in the present review. Results indicate lowest average ratings for the element of environment. The elements stimulus, body and mind had mediocre ratings, and the element of response had the highest overall ratings. In terms of the type of sport, studies that assessed closed-skill indoor sports had the highest ratings, whereas closed-skill outdoor sports had the lowest overall rating. Our findings identify specific elements that are lacking in ecological validity and areas of improvement in current exercise neuroscience literature. Future studies may potentially increase ecological validity by moving from reductionist, artificial environments towards complex, natural environments and incorporating realworld sport elements such as adaptive responses and competition.

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Section: Key Finding 1: Potential To Conduct Experiments In Real-worl...supporting

confidence: 76%

Ecological validity in exercise neuroscience research: A systematic investigation

Chang

Büchel

Reinecke

et al. 2022

Eur J of Neuroscience

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“…Over the past decade there has been a rapid increase in the use of mobile electroencephalography (mEEG) to address a range of research questions that have not been possible to ask with more tradition lab-based electroencephalographic (EEG) systems. For instance, Debener et al (2012) demonstrated that they could collect EEG data while participants were walking and more recently Scanlon et al (2020) were able to record event-related potentials (ERPs) while participants were riding a bike. Since its advent, the scientific community has questioned the quality of mEEG dataespecially of measurements collected by the growing array of low-cost (less than $1,000) mEEG systems.…”

Section: Introductionmentioning

confidence: 99%

Using Muse: Rapid Mobile Assessment of Brain Performance

et al. 2021

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The advent of mobile electroencephalography (mEEG) has created a means for large scale collection of neural data thus affording a deeper insight into cognitive phenomena such as cognitive fatigue. Cognitive fatigue – a neural state that is associated with an increased incidence of errorful performance – is responsible for accidents on a daily basis which at times can cost human lives. To gain better insight into the neural signature of cognitive fatigue in the present study we used mEEG to examine the relationship between perceived cognitive fatigue and human-event related brain potentials (ERPs) and electroencephalographic (EEG) oscillations in a sample of 1,000 people. As a secondary goal, we wanted to further demonstrate the capability of mEEG to accurately measure ERP and EEG data. To accomplish these goals, participants performed a standard visual oddball task on an Apple iPad while EEG data were recorded from a Muse EEG headband. Counter to traditional EEG studies, experimental setup and data collection was completed in less than seven minutes on average. An analysis of our EEG data revealed robust N200 and P300 ERP components and neural oscillations in the delta, theta, alpha, and beta bands. In line with previous findings we observed correlations between ERP components and EEG power and perceived cognitive fatigue. Further, we demonstrate here that a linear combination of ERP and EEG features is a significantly better predictor of perceived cognitive fatigue than any ERP or EEG feature on its own. In sum, our results provide validation of mEEG as a viable tool for research and provide further insight into the impact of cognitive fatigue on the human brain.

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“…The N1 is a negative early deflection in the ERP that is generally greater for the attended, as opposed to the ignored, stimuli (Woldorff & Hillyard, 1991). That effect was further replicated in a different study where participants rode a bicycle in a quiet park and next to a busy road (Scanlon et al, 2020). It was found a consistent increase in N1 amplitude alongside the busy road relative to the quiet indoor environment.…”

Section: Breaking Away From the Laboratorymentioning

confidence: 73%

“…This location of the response button allowed for smooth handling, and access to the brake lever while responding to the task without moving the hand out of its natural riding position. In line with the work of Scanlon et al, (2020), the bicycle gear/resistance was kept constant for all participants (second gear in the crankset and half gear in the cassette) for consistency and to maintain the physical activity at sub-aerobic levels throughout trials.…”

Section: Traffic Volume Related To Changes In Eegmentioning

confidence: 99%

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Surrounding Traffic Matters: Increases in Traffic Volume Are Related to Changes in EEG Rhythms in Urban Cyclists

Robles

Kuziek

Lai

et al. 2022

Preprint

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In this study, we used an oddball EEG bicycle paradigm to study how changes in urban environments elicit changes in EEG markers. Participants completed an auditory oddball task while riding in three different cycling lane environments. A low traffic condition where participants rode in a fully separated bike lane alongside a quiet residential street, an intermediate traffic condition where participants rode alongside a busy residential street in a painted lane, and a heavy traffic condition where participants rode alongside fast/heavy traffic on a shared-use path. Relative to the low traffic, heavy traffic was associated with faster reaction time and a trend towards reduced accuracy, and increased N1 amplitude evoked by the standard tones. We attribute this difference in N1 amplitude to different attentional demands evoked by the different traffic conditions. In this fashion, heavy traffic requires greater auditory filtering. Furthermore, we found no differences in P3 amplitude associated with the traffic conditions. We discuss the implications of mobile paradigms to study attention in real-world settings.

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A ride in the park: Cycling in different outdoor environments modulates the auditory evoked potentials

Cited by 22 publications

References 58 publications

Ecological validity in exercise neuroscience research: A systematic investigation

Ecological validity in exercise neuroscience research: A systematic investigation

Using Muse: Rapid Mobile Assessment of Brain Performance

Surrounding Traffic Matters: Increases in Traffic Volume Are Related to Changes in EEG Rhythms in Urban Cyclists

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