Increasing the Mobility of EEG Data Collection Using a Latte Panda Computer

Abstract

Background

EEG in Motion: Using an Oddball Task to Explore Motor Interference in Active Skateboarding

“…EEG research has informed our understanding of human attention, yet, this knowledge generally comes from paradigms that isolate participants in faraday cages to avoid electromagnetic fields and other sources of noise that can compromise data quality (Puce & Hämäläinen, 2017). Over recent years, developments in minicomputers such as the Raspberry pi and mobile phones have allowed such studies to move outside the lab and into the real world, resulting in a growth of mobile EEG studies within ecologically rich environments (Askamp & van Putten, 2014;Kontson et al, 2015;Cruz-Garza et al, 2017;Kuziek et al, 2018).…”

The brain in motion–cognitive effects of simultaneous motor activity

“…They found no significant differences between the conditions for the P300. Similarly, Kuziek et al (2018) found no differences in MMN or P300 after six minutes of very light-intensity cycling in comparison to a sitting condition.…”

“…In summary, an impressive amount of work has been performed to make EEG measurements during both indoor and outdoor motion possible (Kranczioch et al, 2014) and to remove motion artifacts with elaborate algorithms to obtain reliable ERPs (Debener et al, 2012;De Vos et al, 2014;Kuziek et al, 2017Kuziek et al, , 2018Radüntz and Meffert, 2019;Blum et al, 2020;Jacobsen et al, 2021). We are convinced that it is now time to move on to the next level, i.e., to address new, theory-driven questions in order to explain the heterogeneous picture that emerges from the behavioral studies on motion and cognition through the temporally high resolution of the EEG.…”

“…Half of the studies with mixed results also used pedaling [3 auditory and 1 visual (Bullock et al, 2015;Zink et al, 2016;Scanlon et al, 2017;Kuziek et al, 2018)], while two assessed walking on a treadmill [1 auditory and 1 visual (Gramann et al, 2010;Ladouce et al, 2019)] and the other two applied a visual, free walking paradigm (Chen et al, 2022a,b). Comparing 20 min of light or high-intensity exercise to rest, Bullock et al (2015) found no modulation of the P300 amplitude, but earlier P300 peak latencies.…”

“…Hence, research on simultaneous exercise has focused on reaction times and accuracy data, or physiological data like hormonal changes or heart rate. However, recent methodological developments have enabled the measurement of neurophysiological processes during exercise (Debener et al, 2012;Jungnickel and Gramann, 2016;Kuziek et al, 2018;Radüntz and Meffert, 2019), which has led to a radical paradigm shift. Whereas about 15-20 years ago, EEG has been recorded almost exclusively in soundproof booths and with as little muscle activity as possible, an increasing number of recent studies have investigated how neurophysiological processes change with simultaneous movements.…”