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骑行时大脑的反应:踩固定自行车时的P3、MMN/N2b及基线噪声

Your brain on bikes: P3, MMN/N2b, and baseline noise while pedaling a stationary bike.

作者信息

Scanlon Joanna E M, Sieben Alex J, Holyk Kevin R, Mathewson Kyle E

机构信息

Department of Psychology, Faculty of Science, University of Alberta, Edmonton, Alberta, Canada.

Neuroscience and Mental Health Institute, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.

出版信息

Psychophysiology. 2017 Jun;54(6):927-937. doi: 10.1111/psyp.12850. Epub 2017 Mar 1.

Abstract

Increasingly, there is a trend to measure brain activity in more ecologically realistic scenarios. Normally, the confines of the laboratory and sedentary tasks mitigate sources of electrical noise on EEG measurement. Moving EEG outside of the lab requires understanding of the impact of complex movements and activities on traditional EEG and ERP measures. Here, we recorded EEG with active electrodes while participants were either riding or sitting on a stationary bike in an electrical and sound-attenuated chamber in the lab. Participants performed an auditory oddball task, pressing a button when they detected rare target tones in a series of standard frequent tones. We quantified both the levels of spectral, single-trial baseline, and ERP baseline noise, as well as classic MMN/N2b and P3 ERP components measured during both biking and sitting still. We observed slight increases in posterior high frequency noise in the spectra, and increased noise in the baseline period during biking. However, morphologically and topographically similar MMN/N2b and P3 components were measured reliably while both biking and sitting. A quantification of the power to reliably measure ERPs as a function of the number of trials revealed slight increases in the number of trials needed during biking to achieve the same level of power. Taken in sum, our results confirm that classic ERPs can be measured reliably during biking activities in the lab. Future directions will employ these techniques outside the lab in ecologically valid situations.

摘要

越来越多地出现了在更符合生态现实的场景中测量大脑活动的趋势。通常,实验室的限制和久坐不动的任务会减少脑电图(EEG)测量中的电噪声源。将EEG测量移到实验室之外需要了解复杂运动和活动对传统EEG和事件相关电位(ERP)测量的影响。在这里,我们在参与者在实验室的一个电和声衰减室内骑固定自行车或坐在固定自行车上时,使用有源电极记录EEG。参与者执行了一个听觉Oddball任务,当他们在一系列标准频繁音调中检测到罕见的目标音调时按下按钮。我们量化了频谱、单次试验基线和ERP基线噪声的水平,以及在骑行和静止坐着期间测量的经典失匹配负波(MMN)/N2b和P3 ERP成分。我们观察到频谱中后部高频噪声略有增加,骑行期间基线期噪声增加。然而,在骑行和坐着时都可靠地测量到了形态和地形上相似的MMN/N2b和P3成分。将可靠测量ERP的功率作为试验次数的函数进行量化,结果显示骑行期间需要达到相同功率水平的试验次数略有增加。总之,我们的结果证实,在实验室的骑行活动中可以可靠地测量经典ERP。未来的方向将是在实验室之外的生态有效情况下应用这些技术。

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