低成本课堂和实验室练习,用于研究波形和事件相关脑电图电位。

Kylie Smith, Abbey Pilger, Marcio L M Amorim, Stanislav Mircic, Zach Reining, Nick Ristow, Dylan Miller, Aljoscha Leonhardt, Joseph C Donovan, Matthias Meier, Timothy C Marzullo, Etienne Serbe-Kamp, Adam P Steiner, Gregory J Gage
{"title":"低成本课堂和实验室练习,用于研究波形和事件相关脑电图电位。","authors":"Kylie Smith, Abbey Pilger, Marcio L M Amorim, Stanislav Mircic, Zach Reining, Nick Ristow, Dylan Miller, Aljoscha Leonhardt, Joseph C Donovan, Matthias Meier, Timothy C Marzullo, Etienne Serbe-Kamp, Adam P Steiner, Gregory J Gage","doi":"10.59390/YNPH4485","DOIUrl":null,"url":null,"abstract":"<p><p>Electroencephalography (EEG) has given rise to a myriad of new discoveries over the last 90 years. EEG is a noninvasive technique that has revealed insights into the spatial and temporal processing of brain activity over many neuroscience disciplines, including sensory, motor, sleep, and memory formation. Most undergraduate students, however, lack laboratory access to EEG recording equipment or the skills to perform an experiment independently. Here, we provide easy-to-follow instructions to measure both wave and event-related EEG potentials using a portable, low-cost amplifier (Backyard Brains, Ann Arbor, MI) that connects to smartphones and PCs, independent of their operating system. Using open-source software (SpikeRecorder) and analysis tools (Python, Google Colaboratory), we demonstrate tractable and robust laboratory exercises for students to gain insights into the scientific method and discover multidisciplinary neuroscience research. We developed 2 laboratory exercises and ran them on participants within our research lab (N = 17, development group). In our first protocol, we analyzed power differences in the alpha band (8-13 Hz) when participants alternated between eyes open and eyes closed states (n = 137 transitions). We could robustly see an increase of over 50% in 59 (43%) of our sessions, suggesting this would make a reliable introductory experiment. Next, we describe an exercise that uses a SpikerBox to evoke an event-related potential (ERP) during an auditory oddball task. This experiment measures the average EEG potential elicited during an auditory presentation of either a highly predictable (\"standard\") or low-probability (\"oddball\") tone. Across all sessions in the development group (n=81), we found that 64% (n=52) showed a significant peak in the standard response window for P300 with an average peak latency of 442ms. Finally, we tested the auditory oddball task in a university classroom setting. In 66% of the sessions (n=30), a clear P300 was shown, and these signals were significantly above chance when compared to a Monte Carlo simulation. These laboratory exercises cover the two methods of analysis (frequency power and ERP), which are routinely used in neurology diagnostics, brain-machine interfaces, and neurofeedback therapy. Arming students with these methods and analysis techniques will enable them to investigate this laboratory exercise's variants or test their own hypotheses.</p>","PeriodicalId":74004,"journal":{"name":"Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience","volume":"22 3","pages":"A197-A206"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11441432/pdf/","citationCount":"0","resultStr":"{\"title\":\"Low-Cost Classroom and Laboratory Exercises for Investigating Both Wave and Event-Related Electroencephalogram Potentials.\",\"authors\":\"Kylie Smith, Abbey Pilger, Marcio L M Amorim, Stanislav Mircic, Zach Reining, Nick Ristow, Dylan Miller, Aljoscha Leonhardt, Joseph C Donovan, Matthias Meier, Timothy C Marzullo, Etienne Serbe-Kamp, Adam P Steiner, Gregory J Gage\",\"doi\":\"10.59390/YNPH4485\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Electroencephalography (EEG) has given rise to a myriad of new discoveries over the last 90 years. EEG is a noninvasive technique that has revealed insights into the spatial and temporal processing of brain activity over many neuroscience disciplines, including sensory, motor, sleep, and memory formation. Most undergraduate students, however, lack laboratory access to EEG recording equipment or the skills to perform an experiment independently. Here, we provide easy-to-follow instructions to measure both wave and event-related EEG potentials using a portable, low-cost amplifier (Backyard Brains, Ann Arbor, MI) that connects to smartphones and PCs, independent of their operating system. Using open-source software (SpikeRecorder) and analysis tools (Python, Google Colaboratory), we demonstrate tractable and robust laboratory exercises for students to gain insights into the scientific method and discover multidisciplinary neuroscience research. We developed 2 laboratory exercises and ran them on participants within our research lab (N = 17, development group). In our first protocol, we analyzed power differences in the alpha band (8-13 Hz) when participants alternated between eyes open and eyes closed states (n = 137 transitions). We could robustly see an increase of over 50% in 59 (43%) of our sessions, suggesting this would make a reliable introductory experiment. Next, we describe an exercise that uses a SpikerBox to evoke an event-related potential (ERP) during an auditory oddball task. This experiment measures the average EEG potential elicited during an auditory presentation of either a highly predictable (\\\"standard\\\") or low-probability (\\\"oddball\\\") tone. Across all sessions in the development group (n=81), we found that 64% (n=52) showed a significant peak in the standard response window for P300 with an average peak latency of 442ms. Finally, we tested the auditory oddball task in a university classroom setting. In 66% of the sessions (n=30), a clear P300 was shown, and these signals were significantly above chance when compared to a Monte Carlo simulation. These laboratory exercises cover the two methods of analysis (frequency power and ERP), which are routinely used in neurology diagnostics, brain-machine interfaces, and neurofeedback therapy. Arming students with these methods and analysis techniques will enable them to investigate this laboratory exercise's variants or test their own hypotheses.</p>\",\"PeriodicalId\":74004,\"journal\":{\"name\":\"Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience\",\"volume\":\"22 3\",\"pages\":\"A197-A206\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11441432/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59390/YNPH4485\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59390/YNPH4485","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

过去 90 年来,脑电图(EEG)带来了无数新发现。脑电图是一种非侵入性技术,它揭示了大脑活动在空间和时间上的处理过程,涉及许多神经科学学科,包括感觉、运动、睡眠和记忆形成。然而,大多数本科生缺乏实验室使用的脑电图记录设备或独立完成实验的技能。在这里,我们提供了简单易学的指导,让学生使用便携式低成本放大器(Backyard Brains, Ann Arbor, MI)测量波和事件相关脑电图电位,该放大器可连接到智能手机和个人电脑,与操作系统无关。通过使用开源软件(SpikeRecorder)和分析工具(Python、Google Colaboratory),我们为学生展示了可操作性强的实验练习,让他们深入了解科学方法并发现多学科神经科学研究。我们开发了两个实验练习,并在我们研究实验室的参与者(N = 17,开发组)中进行了测试。在第一个方案中,我们分析了参与者在睁眼和闭眼状态交替时阿尔法频段(8-13 赫兹)的功率差异(n = 137 次转换)。在 59 次(43%)实验中,我们可以看到α波段的功率增加了 50%以上,这表明这是一个可靠的入门实验。接下来,我们将介绍一种使用 SpikerBox 在听觉怪球任务中唤起事件相关电位 (ERP) 的练习。该实验测量的是在听觉呈现高可预测性("标准")或低概率("怪音")音调时激发的平均脑电图电位。在开发组(81 人)的所有课程中,我们发现 64% 的学生(52 人)在 P300 的标准反应窗口中显示出明显的峰值,平均峰值潜伏期为 442 毫秒。最后,我们在大学课堂环境中测试了听觉怪球任务。在 66% 的测试中(n=30),出现了明显的 P300,与蒙特卡罗模拟相比,这些信号明显高于偶然性。这些实验练习涵盖了神经学诊断、脑机接口和神经反馈疗法中常用的两种分析方法(频率功率和 ERP)。学生掌握了这些方法和分析技术,就能研究本实验练习的变体或测试自己的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Low-Cost Classroom and Laboratory Exercises for Investigating Both Wave and Event-Related Electroencephalogram Potentials.

Electroencephalography (EEG) has given rise to a myriad of new discoveries over the last 90 years. EEG is a noninvasive technique that has revealed insights into the spatial and temporal processing of brain activity over many neuroscience disciplines, including sensory, motor, sleep, and memory formation. Most undergraduate students, however, lack laboratory access to EEG recording equipment or the skills to perform an experiment independently. Here, we provide easy-to-follow instructions to measure both wave and event-related EEG potentials using a portable, low-cost amplifier (Backyard Brains, Ann Arbor, MI) that connects to smartphones and PCs, independent of their operating system. Using open-source software (SpikeRecorder) and analysis tools (Python, Google Colaboratory), we demonstrate tractable and robust laboratory exercises for students to gain insights into the scientific method and discover multidisciplinary neuroscience research. We developed 2 laboratory exercises and ran them on participants within our research lab (N = 17, development group). In our first protocol, we analyzed power differences in the alpha band (8-13 Hz) when participants alternated between eyes open and eyes closed states (n = 137 transitions). We could robustly see an increase of over 50% in 59 (43%) of our sessions, suggesting this would make a reliable introductory experiment. Next, we describe an exercise that uses a SpikerBox to evoke an event-related potential (ERP) during an auditory oddball task. This experiment measures the average EEG potential elicited during an auditory presentation of either a highly predictable ("standard") or low-probability ("oddball") tone. Across all sessions in the development group (n=81), we found that 64% (n=52) showed a significant peak in the standard response window for P300 with an average peak latency of 442ms. Finally, we tested the auditory oddball task in a university classroom setting. In 66% of the sessions (n=30), a clear P300 was shown, and these signals were significantly above chance when compared to a Monte Carlo simulation. These laboratory exercises cover the two methods of analysis (frequency power and ERP), which are routinely used in neurology diagnostics, brain-machine interfaces, and neurofeedback therapy. Arming students with these methods and analysis techniques will enable them to investigate this laboratory exercise's variants or test their own hypotheses.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Interactive Notebooks Improve Students' Understanding of Developmental Neurobiology, Attitudes Toward Research, and Experimental Design Competency in a Lecture-Based Neuroscience Course. Introducing BRAINOER: The Behavioral Research and Interdisciplinary Neuroscience Open Educational Repository. Low-Cost Classroom and Laboratory Exercises for Investigating Both Wave and Event-Related Electroencephalogram Potentials. Memphis NeuroSTART Program: Promoting Student Success and Increasing the Diversity of Applicants to Neuroscience Graduate Programs. Neurodiversity in the Minds of Students: From Perception to Campus Programming.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1