这项工作由南洋理工大学的总统博士后奖学金资助，该奖学金已授予 VR。

婴儿与照顾者互动中的真实 EEG 和 ECG 同步

<ol>
	<li>Hari, R., Henriksson, L., Malinen, S., Parkkonen, L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Centrality+of+social+interaction+in+human+brain+function.">Centrality of social interaction in human brain function.</a> Neuron. 88 (1), 181-193 (2015).</li><li>Endevelt-Shapira, Y., Djalovski, A., Dumas, G., Feldman, R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Maternal+chemosignals+enhance+infant-adult+brain-to-brain+synchrony.">Maternal chemosignals enhance infant-adult brain-to-brain synchrony.</a> Sci Adv. 7 (50), (2021).</li><li>Santamaria, L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Emotional+valence+modulates+the+topology+of+the+parent-infant+inter-brain+network.">Emotional valence modulates the topology of the parent-infant inter-brain network.</a> NeuroImage. 207, 116341 (2020).</li><li>Nguyen, T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+effects+of+interaction+quality+on+neural+synchrony+during+mother-child+problem+solving.">The effects of interaction quality on neural synchrony during mother-child problem solving.</a> Cortex. 124, 235-249 (2020).</li><li>Reindl, V., Gerloff, C., Scharke, W., Konrad, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Brain-to-brain+synchrony+in+parent-child+dyads+and+the+relationship+with+emotion+regulation+revealed+by+fNIRS-based+hyperscanning.">Brain-to-brain synchrony in parent-child dyads and the relationship with emotion regulation revealed by fNIRS-based hyperscanning.</a> NeuroImage. 178, 493-502 (2018).</li><li>Reindl, V., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Conducting+hyperscanning+experiments+with+functional+near-infrared+spectroscopy.">Conducting hyperscanning experiments with functional near-infrared spectroscopy.</a> J Vis Exp. (143), e58807 (2019).</li><li>Gardner, F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Methodological+issues+in+the+direct+observation+of+parent-child+interaction:+Do+observational+findings+reflect+the+natural+behavior+of+participants.">Methodological issues in the direct observation of parent-child interaction: Do observational findings reflect the natural behavior of participants.</a> Clin Child Fam Psychol Rev. 3, 185-198 (2000).</li><li>Xu, J., Zhong, B. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Review+on+portable+EEG+technology+in+educational+research.">Review on portable EEG technology in educational research.</a> Comput Hum Behav. 81, 340-349 (2018).</li><li>Troller-Renfree, S. V., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Feasibility+of+assessing+brain+activity+using+mobile,+in-home+collection+of+electroencephalography:+methods+and+analysis.">Feasibility of assessing brain activity using mobile, in-home collection of electroencephalography: methods and analysis.</a> Dev Psychobiol. 63 (6), e22128 (2021).</li><li>B&#246;gels, S., Levinson, S. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+brain+behind+the+response:+Insights+into+turn-taking+in+conversation+from+neuroimaging.">The brain behind the response: Insights into turn-taking in conversation from neuroimaging.</a> Res Lang Soc. 50 (1), 71-89 (2017).</li><li>Georgieva, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Toward+the+understanding+of+topographical+and+spectral+signatures+of+infant+movement+artifacts+in+naturalistic+EEG.">Toward the understanding of topographical and spectral signatures of infant movement artifacts in naturalistic EEG.</a> Front Neurosci. 14, 452947 (2020).</li><li>Dikker, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Brain-to-brain+synchrony+tracks+real-world+dynamic+group+interactions+in+the+classroom.">Brain-to-brain synchrony tracks real-world dynamic group interactions in the classroom.</a> Curr Biol. 27 (9), 1375-1380 (2017).</li><li>Oliveira, A. S., Bryan, R. S., Hairston, W. D., Peter, K., Daniel, P. F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Proposing+metrics+for+benchmarking+novel+EEG+technologies+towards+real-world+measurements.">Proposing metrics for benchmarking novel EEG technologies towards real-world measurements.</a> Front Hum Neurosci. 10, 188 (2016).</li><li>Turk, E., Endevelt-Shapira, Y., Feldman, R., vanden Heuvel, M. I., Levy, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Brains+in+sync:+Practical+guideline+for+parent-infant+EEG+during+natural+interaction.">Brains in sync: Practical guideline for parent-infant EEG during natural interaction.</a> Front Psychol. 13, 833112 (2022).</li><li>Kayhan, E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+dual+EEG+pipeline+for+developmental+hyperscanning+studies.">A dual EEG pipeline for developmental hyperscanning studies.</a> Dev Cogn Neurosci. 54, 101104 (2022).</li><li>Ayrolles, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=HyPyP:+a+Hyperscanning+Python+pipeline+for+inter-brain+connectivity+analysis.">HyPyP: a Hyperscanning Python pipeline for inter-brain connectivity analysis.</a> Soc Cogn Affect Neurosci. 16 (1-2), 72-83 (2021).</li><li>Delorme, S., Makeig, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=EEGLAB:+an+open-source+toolbox+for+analysis+of+single-trial+EEG+dynamics.">EEGLAB: an open-source toolbox for analysis of single-trial EEG dynamics.</a> J Neurosci Meth. 134, 9-21 (2004).</li><li>Nathan, K., Contreras-Vidal, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Negligible+motion+artifacts+in+scalp+electroencephalography+(EEG)+during+treadmill+walking.">Negligible motion artifacts in scalp electroencephalography (EEG) during treadmill walking.</a> Front Hum Neurosci. 9, 708 (2016).</li><li>Stone, D. B., Tamburro, G., Fiedler, P., Haueisen, J., Comani, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Automatic+removal+of+physiological+artifacts+in+EEG:+The+optimized+fingerprint+method+for+sports+science+applications.">Automatic removal of physiological artifacts in EEG: The optimized fingerprint method for sports science applications.</a> Front Hum Neurosci. 12, 96 (2018).</li><li>Noreika, V., Georgieva, S., Wass, S., Leong, V. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=14+challenges+and+their+solutions+for+conducting+social+neuroscience+and+longitudinal+EEG+research+with+infants.">14 challenges and their solutions for conducting social neuroscience and longitudinal EEG research with infants.</a> Infant Behav Dev. 58, 101393 (2020).</li><li>Ng, B., Reh, R. K., Mostafavi, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+practical+guide+to+applying+machine+learning+to+infant+EEG+data.">A practical guide to applying machine learning to infant EEG data.</a> Dev Cogn Neurosci. 54, 101096 (2022).</li><li>vander Velde, B., Junge, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Limiting+data+loss+in+infant+EEG:+putting+hunches+to+the+test.">Limiting data loss in infant EEG: putting hunches to the test.</a> Dev Cogn Neurosci. 45, 100809 (2020).</li><li>Bell, M. A., Cuevas, K. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Using+EEG+to+study+cognitive+development:+Issues+and+practices.">Using EEG to study cognitive development: Issues and practices.</a> J Cogn Dev. 13 (3), 281-294 (2012).</li><li>Lopez, K. L., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=HAPPILEE:+HAPPE+in+low+electrode+electroencephalography,+a+standardized+pre-processing+software+for+lower+density+recordings.">HAPPILEE: HAPPE in low electrode electroencephalography, a standardized pre-processing software for lower density recordings.</a> NeuroImage. 260, 119390 (2022).</li></ol>

不得申报利益冲突。

在该协议中，我们在参与者的家中进行测量，婴儿和看护人可能会感到更舒适，并且他们的行为可能更能代表他们现实生活中的互动，而不是实验室环境，从而提高生态有效性7。此外，在家庭环境中进行录音可以减轻参与者的负担，例如，在旅行时间方面，从而可能使某些参与者群体更容易接近。然而，除了这些优势外，现实世界环境中的自然主义 EEG 超扫描记录在实验设计和?...

通过同时记录来自两个或多个相互作用对象的大脑活动，也称为超扫描，已经有可能阐明社会互动在其复杂、双向和快节奏动态中的神经基础1。这项技术已将重点从在孤立、严格控制的环境中研究个体转移到研究更自然的互动，例如自由游戏 2,3、解谜4 和合作电脑游戏 5,6 期间的亲子互动。这些研究表明，大脑活动在社交互动期间同步，即表现出时间相似性，这种现象称为人际神经同步 （INS）。然而，绝大多数超扫描研究仅限于实验室环境。虽然这允许更好的实验控制，但它可能会以失去一些生态有效性为代价。由于不熟悉和人为的环境以及所施加任务的性质，在实验室中观察到的行为可能无法代表参与者典型的日常互动行为7.
移动神经成像设备的最新进展，例如脑电图 （EEG） 或功能性近红外光谱 （fNIRS），通过消除参与者保持与记录计算机的物理连接的要求，缓解了这些问题。因此，它们使我们能够测量参与者在课堂或家中自由互动时的大脑活动 8,9。与其他神经成像技术（如 fNIRS）相比，EEG 的优势在于它具有出色的时间分辨率，这使其特别适合研究快节奏的社会动态10。然而，需要注意的是，脑电图信号极易受到运动和其他生理和非生理伪影的影响11。
尽管如此，第一批研究已经成功地在现实环境和条件下实施了 EEG 超扫描设置。例如，Dikker 等人12 测量了一组学生在参与各种课堂活动（包括参加讲座、观看视频和参与小组讨论）时的脑电图信号。这项研究以及其他研究 8,9 主要使用干式脑电图电极来简化在非实验室环境中进行测量的过程。与需要使用导电凝胶或糊状物的湿电极相比，干电极在可用性方面具有显着优势。它们已被证明在成年人群和静止条件下表现出与湿电极相当的性能;但是，由于阻抗水平增加，在与运动相关的情况下，它们的性能可能会下降13。
在这里，我们提出了一种工作协议，用于从低密度七通道液体凝胶脑电图系统中捕获同步记录，该系统将单导联心电图 （ECG） 连接到家庭环境中婴儿照顾者二人组的同一无线放大器（采样率：500 Hz）。有源电极用于成人，而无源电极用于婴儿，因为后者通常以环形电极的形式出现，从而简化了凝胶应用过程。此外，EEG-ECG 记录与三个摄像头和麦克风同步，以从不同角度捕捉参与者的行为。在这项研究中，8-12 个月大的婴儿及其看护人在记录他们的脑电图、心电图和行为的同时参与阅读和游戏任务。为了尽量减少过度运动对脑电信号质量的影响，这些任务在桌面环境中进行（例如，利用厨房桌子和婴儿高脚椅），要求参与者在整个交互任务中保持坐姿。为护理人员提供了三本适合其年龄的书籍和桌面玩具（配有吸盘以防止他们跌落）。他们被指示给孩子读大约 5 分钟，然后玩 10 分钟的玩具。
该协议详细说明了在阅读和播放任务期间收集同步 EEG-ECG、视频和音频数据的方法。然而，整个过程并不特定于本研究设计，而是适用于不同的人群（例如，亲子二人组、朋友二人组）和实验任务。将介绍不同数据流的同步方法。此外，将概述基于 Dikker 等人 12 的基本 EEG 预处理管道，并报告 EEG 数据保留率和质量控制指标。由于具体的分析选择取决于多种因素（例如任务设计、研究问题、脑电图蒙太奇），因此不会进一步详细说明超扫描脑电图分析，而是将参考现有的指南和工具箱（例如，14 指南;15,16 用于超扫描分析工具箱）。最后，该协议讨论了在家庭和其他现实世界环境中进行 EEG-ECG 超扫描的挑战和潜在解决方案。

<table border="1" fo:keep-together.within-page="1" fo:keep-with-next.within-page="always">
	<tbody>
		<tr>
			<td>10 cc Luer Lock Tip syringe without Needle</td>
			<td>Terumo Corporation</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>actiCAP slim 8-channel electrode set (LiveAMP8)</td>
			<td>Brain Products GmbH</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>Arduino Software (IDE)</td>
			<td>Arduino</td>
			<td>Arduino IDE 1.8.19</td>
			<td>The software used to write the code for the Arduino microcontroller. Alternate programming software may be used to accompany the chosen microcontroller unit.&#160;</td>
		</tr>
		<tr>
			<td>Arduino Uno board</td>
			<td>Arduino</td>
			<td></td>
			<td>Used for building the circuit of the trigger box. Alternate microcontroller boards may be used.</td>
		</tr>
		<tr>
			<td>BNC connectors</td>
			<td></td>
			<td></td>
			<td>BNC connectors to connect the various parts of the trigger box setup.</td>
		</tr>
		<tr>
			<td>BNC Push button&#160;</td>
			<td>Brain Products GmbH</td>
			<td>BP-345-9000</td>
			<td>BNC trigger push button to send triggers.</td>
		</tr>
		<tr>
			<td>BNC to 2.5 mm jack trigger cable (80 cm)&#160;</td>
			<td>Brain Products GmbH</td>
			<td>BP-245-1200</td>
			<td>BNC cables connecting the 2 LiveAmps to the trigger box.</td>
		</tr>
		<tr>
			<td>BrainVision Analyzer Version 2.2.0.7383</td>
			<td>Brain Products GmbH</td>
			<td></td>
			<td>EEG analysis software.</td>
		</tr>
		<tr>
			<td>BrainVision Recorder License with dongle</td>
			<td>Brain Products GmbH</td>
			<td>S-BP-170-3000</td>
			<td></td>
		</tr>
		<tr>
			<td>BrainVision Recorder Version 1.23.0003</td>
			<td>Brain Products GmbH</td>
			<td></td>
			<td>EEG recording software.</td>
		</tr>
		<tr>
			<td>Custom 8Ch LiveAmp Cap passive (infant EEG caps)</td>
			<td>Brain Products GmbH</td>
			<td>LC-X6-SAHS-44, LC-X6-SAHS-46, LC-X6-SAHS-48&#160;</td>
			<td>For infant head sizes 44, 46, 48 . Alternate EEG caps may be used.</td>
		</tr>
		<tr>
			<td>Dell Latitude 3520 Laptops</td>
			<td>Dell</td>
			<td></td>
			<td>Two laptops, one for adult EEG recording and one for infant EEG recording. Alternate computers may be used.</td>
		</tr>
		<tr>
			<td>Dental Irrigation Syringes</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>LiveAmp 8-CH wireless amplifier</td>
			<td>BrainProducts GmbH</td>
			<td>BP-200-3020</td>
			<td>Two LiveAmps, one for adult EEG and one for infant EEG. Alternate amplifier may be used.</td>
		</tr>
		<tr>
			<td>Manfrotto MT190X3 Tripod with 128RC Micro Fluid Video Head</td>
			<td>Manfrotto</td>
			<td>MT190X3</td>
			<td>Alternate tripods may be used.</td>
		</tr>
		<tr>
			<td>Matlab Software</td>
			<td>The MathWorks, Inc.</td>
			<td>R2023a</td>
			<td>Alternate analysis and presentation software may be used.</td>
		</tr>
		<tr>
			<td>Power bank (10000 mAh)</td>
			<td>Philips</td>
			<td>DLP6715NB/69</td>
			<td>Alternate power banks may be used.</td>
		</tr>
		<tr>
			<td>Raw EEG caps</td>
			<td>EASYCAP GmbH</td>
			<td></td>
			<td>For Adult head sizes 52, 54, 56, 58. Alternate EEG caps may be used.</td>
		</tr>
		<tr>
			<td>Rode Wireless Go II Single Set</td>
			<td>R&#248;de Microphones</td>
			<td></td>
			<td>Alternate microphones may be used.</td>
		</tr>
		<tr>
			<td>Sony FDR-AX700 Camcorder</td>
			<td>Sony</td>
			<td>FDR-AX700</td>
			<td>Alternate camcorders or webcams may be used.</td>
		</tr>
		<tr>
			<td>SuperVisc High-Viscosity Gel&#160;</td>
			<td>EASYCAP GmbH</td>
			<td>NS-7907</td>
			<td></td>
		</tr>
	</tbody>
</table>

home-based eeg hyperscanning for infant-caregiver social interactions

先前同时记录照顾者和儿童大脑活动的超扫描研究主要在实验室范围内进行，因此限制了结果对现实生活环境的普遍性。在这里，提出了一种全面的协议，用于在家中各种互动任务中捕获婴儿-照顾者二人组的同步脑电图 （EEG）、心电图 （ECG） 和行为记录。该协议演示了如何同步不同的数据流并报告 EEG 数据保留率和质量检查。此外，还讨论了有关家庭环境中的实验设置、任务和数据收集的关键问题和可能的解决方案。该协议不仅限于婴儿-照顾者二元组，还可以应用于各种二元星座。总体而言，我们展示了 EEG 超扫描设置的灵活性，它允许在实验室外进行实验，以在更生态有效的环境环境中捕捉参与者的大脑活动。然而，运动和其他类型的伪影仍然限制了可以在家庭环境中进行的实验任务。

With the simultaneous recording of brain activities from two or more interacting subjects, also known as hyperscanning, it has become possible to elucidate the neural basis of social interactions in their complex, bidirectional, and fast-paced dynamics1. This technique has shifted the focus from studying individuals in isolated, tightly controlled settings to examining more naturalistic interactions, such as parent-child interactions during free play2,3, puzzle-solving4, and cooperative computer games5,6. These studies demonstrate that brain activities synchronize during social interactions, i.e., show temporal similarities, a phenomenon termed interpersonal neural synchrony (INS). However, the great majority of hyperscanning studies have been confined to laboratory settings. While this allows for better experimental control, it may come at the expense of losing some ecological validity. Behaviors observed in the laboratory may not be representative of the participants&#39; typical everyday interactive behaviors due to the unfamiliar and artificial setting and the nature of the tasks imposed7.
Recent advances in mobile neuroimaging devices, such as electroencephalography (EEG) or functional near-infrared spectroscopy (fNIRS), alleviate these issues by removing the requirement for participants to remain physically connected to the recording computer. Thus, they allow us to measure participants&#39; brain activities while they interact freely in the classroom or in their homes8,9. The advantage of EEG compared to other neuroimaging techniques, such as fNIRS, is that it has an excellent temporal resolution, which makes it particularly suitable for investigating fast-paced social dynamics10. Yet, it comes with the caveat that the EEG signal is highly vulnerable to motion and other physiological and non-physiological artifacts11.
Despite this, the first studies have successfully implemented EEG hyperscanning set-ups in realistic environments and conditions. For instance, Dikker et al.12 measured the EEG signal of a group of students while they engaged in various classroom activities, including attending lectures, watching videos, and participating in group discussions. This study, along with other studies8,9, has predominantly utilized dry EEG electrodes to ease the process of conducting measurements in non-laboratory settings. Compared to wet electrodes, which require the application of conductive gel or paste, dry electrodes offer notable advantages in terms of usability. They have been shown to exhibit comparable performance to wet electrodes in adult populations and stationary conditions; however, their performance may decrease in motion-related scenarios due to increased impedance levels13.
Here, we present a working protocol to capture synchronized recordings from a low-density seven-channel liquid gel EEG system with a single lead electrocardiography (ECG) connected to the same wireless amplifier (sampling rate: 500 Hz)&#160;of infant-caregiver dyads in a home setting. While active electrodes were used for adults, passive electrodes were used instead for infants since the latter typically comes in the form of ring electrodes, thereby easing the process of gel application. Additionally, EEG-ECG recordings were synchronized to three cameras and microphones to capture the participants&#39; behaviors from different angles. In the study, 8-12-month-old infants and their caregivers engaged in a reading and play task while their EEG, ECG, and behaviors were recorded. To minimize the impact of excessive movement on EEG signal quality, the tasks were conducted in a table-top setting (e.g., utilizing the kitchen table and an infant highchair), requiring participants to remain seated throughout the interaction task. Caregivers were provided with three age-appropriate books and table-top toys (equipped with suction cups to prevent them from falling). They were instructed to read to their child for approximately 5 min, followed by a 10 min play session with the toys.
This protocol details the methods for collecting synchronized EEG-ECG, video, and audio data during the reading and play tasks. The overall procedure, however, is not specific to this research design but is appropriate for different populations (e.g., parent-child dyads, friend dyads) and experimental tasks. The method of synchronization of different data streams will be presented. Further, a basic EEG preprocessing pipeline based on Dikker et al.12 will be outlined, and EEG data retention rates and quality control metrics will be reported. Since the specific analytical choices depend on a variety of factors (such as task design, research questions, EEG montage), hyperscanning-EEG analysis will not be detailed further, but instead, the reader will be referred to existing guidelines and toolboxes (e.g.,14 for guidelines;15,16 for hyperscanning analysis toolboxes). Finally, the protocol discusses challenges and potential solutions for EEG-ECG hyperscanning in the home and other real-world settings.

作者聚焦：通过同步多模态数据收集捕获婴儿与照顾者的互动

用于婴儿与照顾者社交互动的家庭脑电图超扫描

本研究纳入的参与者是 8 至 12 个月大，通常是发育中的婴儿及其母亲和/或祖母，他们在家中会说英语或英语和第二语言。在任务期间同时获取成人和婴儿的 7 电极脑电图和单导联心电图，以及来自三个摄像头和麦克风的视频和音频记录。根据国际 10-20 系统测量 F3 、 F4 、 C3 、 Cz 、 C4 、 P3 和 P4 的神经活动。不同的数据流在实验开始和结束时进行时间对齐和切割，以便所有记录都从时间点 t = 0 ?...

该协议描述了如何从家庭环境中的婴儿-照顾者二人组中捕获同步的脑电图、心电图和行为记录。

Prior hyperscanning studies that record the brain activities of caregivers and children concurrently have primarily been conducted within the confines of ...

我们的研究旨在研究婴儿和照顾者之间的社交互动如何影响婴儿的学习和发展。我们开发了一种全面的超扫描协议，用于在家庭中的交互式游戏任务中捕获婴儿-看护者二人组的同步 EEG、ECG 和行为记录。与之前主要在实验室环境中进行的超扫描协议不同，我们的实验是在家庭环境中进行的。一个关键的实验挑战是平衡跨家庭环境的标准化需求（这可能会限制生态有效性）与促进参与者之间自然互动所需的灵活性。该协议为解决家庭环境中实验设置、任务和数据收集的潜在问题和关键考虑因素提供了独特的见解。此外，我们的协议还详细演示了将 EEG、ECG、视频和音频数据多模态同步到单个时间线的设计和设置。

home-based-eeg-hyperscanning-for-infant-caregiver-social-interactions

Research

JoVE Journal

Neuroscience

Home-Based EEG Hyperscanning for Infant-Caregiver Social Interactions

547 次观看.  Nanyang Technological University. 我们的研究旨在研究婴儿和照顾者之间的社交互动如何影响婴儿的学习和发展。我们开发了一种全面的超扫描协议，用于在家庭中的交互式游戏任务中捕获婴儿-看护者二人组的同步 EEG、ECG 和行为记录。与之前主要在实验室环境中进行的超扫描协议不同，我们的实验是在家庭环境中进行的。一个关键的实验挑战是平衡跨家庭环境的标准化需求（这可能会限制生态有效性?...

视频: 作者聚焦：通过同步多模态数据收集捕获婴儿与照顾者的互动

Prior hyperscanning studies that record the brain activities of caregivers and children concurrently have primarily been conducted within the confines of the laboratory, thus limiting the generalizability of results to real-life settings. Here, a comprehensive protocol for capturing synchronized electroencephalography (EEG), electrocardiography (ECG), and behavioral recordings from infant-caregiver dyads during various interactive tasks at home is proposed. This protocol demonstrates how to synchronize the different data streams and report EEG data retention rates and quality checks. Additionally, critical issues and possible solutions with respect to the experimental setup, tasks, and data collection in home settings are discussed. The protocol is not limited to infant-caregiver dyads but can be applied to various dyadic constellations. Overall, we demonstrate the flexibility of EEG hyperscanning setups, which allow experiments to be conducted outside of the laboratory to capture participants' brain activities in more ecologically valid environmental settings. Yet, movement and other types of artifacts still constrain the experimental tasks that can be performed in the home setting.

This protocol describes how synchronized electroencephalography, electrocardiography, and behavioral recordings were captured from infant-caregiver dyads in a home setting.