Naturalistic Hyperscanning with Wearable Magnetoencephalography.

Naturalistic Hyperscanning with Wearable Magnetoencephalography.
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DOI:
10.3390/s23125454
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发表时间:
2023-06-09
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Bowtell R
Bowtell R
中科院分区:
其他
文献类型:
--
作者:
Holmes N;Rea M;Hill RM;Boto E;Leggett J;Edwards LJ;Rhodes N;Shah V;Osborne J;Fromhold TM;Glover P;Montague PR;Brookes MJ;Bowtell R

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人类认知功能的进化依赖于复杂的社会互动,这构成了我们的行为基础。这些社会能力在疾病和损伤中会发生巨大变化,但对它们的支持神经基质仍然知之甚少。超扫描采用功能性神经成像技术同时评估两个人的大脑活动,并提供了了解社会互动的神经基础的最佳手段。然而,目前的技术是有限的,或者是性能差(低空间/时间精度)或不自然的扫描环境(幽闭恐怖症扫描仪,通过视频交互)。在这里,我们描述了超扫描使用可穿戴脑磁图(MEG)的基础上光泵磁力计(OPM)。我们展示了我们的方法,同时测量大脑活动在两个科目进行两个独立的任务-互动触摸任务和球类游戏。尽管大的和不可预测的主题运动,感觉运动的大脑活动被清楚地描绘,并证明了两个主题之间的神经元振荡的包络的相关性。我们的研究结果表明,与现有的方式,OPM-MEG结合了高保真数据采集和自然的设置,从而提出了显着的潜力,调查神经相关的社会互动。
The evolution of human cognitive function is reliant on complex social interactions which form the behavioural foundation of who we are. These social capacities are subject to dramatic change in disease and injury; yet their supporting neural substrates remain poorly understood. Hyperscanning employs functional neuroimaging to simultaneously assess brain activity in two individuals and offers the best means to understand the neural basis of social interaction. However, present technologies are limited, either by poor performance (low spatial/temporal precision) or an unnatural scanning environment (claustrophobic scanners, with interactions via video). Here, we describe hyperscanning using wearable magnetoencephalography (MEG) based on optically pumped magnetometers (OPMs). We demonstrate our approach by simultaneously measuring brain activity in two subjects undertaking two separate tasks—an interactive touching task and a ball game. Despite large and unpredictable subject motion, sensorimotor brain activity was delineated clearly, and the correlation of the envelope of neuronal oscillations between the two subjects was demonstrated. Our results show that unlike existing modalities, OPM-MEG combines high-fidelity data acquisition and a naturalistic setting and thus presents significant potential to investigate neural correlates of social interaction.
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