幼儿面部处理的神经特征映射:一项OPM-MEG研究。

IF 3.1
Kristina Safar, Marlee M Vandewouw, Natalie Rhodes, Julie Sato, Margot J Taylor
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引用次数: 0

摘要

面部表情是社会交流的基础,情感面部处理在整个童年时期发展。然而,由于这一人群在神经成像方面的挑战,幼儿这一过程的神经机制仍未得到充分探索。光泵磁强计(OPMs)是一种可穿戴式脑磁图(MEG)技术,为研究生命早期的这些反应提供了潜在的优势。本研究利用OPM-MEG对45名3-5岁儿童在情绪面孔加工任务中的诱发反应和功能连通性进行了研究。M170成分是人脸处理的关键标记,并评估了8个感兴趣区域的全脑功能连通性。儿童在双侧梭状回对情绪面孔表现出强烈的M170反应。峰值幅度随年龄增长而增加,但潜伏期未见明显变化。研究发现,情绪性面孔发作后,杏仁核、脑岛、枕叶和额叶区域之间的连接显著增加。本研究首次提供了使用OPM-MEG的幼儿M170反应和对情绪面孔的大规模连接的证据。研究结果强调了OPMs用于发育神经成像的可行性,并为儿童早期情绪相关神经回路的成熟提供了见解。这些结果为未来临床儿科人群(如自闭症)的面部加工研究奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mapping neural signatures of face processing in young children: an OPM-MEG study.

Facial expressions are fundamental to social communication, with emotional face processing developing throughout childhood. However, the neural mechanisms underlying this process in young children remain underexplored due to challenges in neuroimaging this population. Optically pumped magnetometers (OPMs), a wearable magnetoencephalography (MEG) technology, offer potential advantages for studying these responses early in life. This study investigated evoked responses and functional connectivity in 45 children (3-5 years) during an emotional face processing task using OPM-MEG. The M170 component, a key marker of face processing, and whole-brain functional connectivity of eight regions of interest were assessed. Children exhibited a robust M170 response to emotional faces in the bilateral fusiform gyri. Peak amplitude increased with age, but no significant latency changes were observed. A significant network of increased connectivity following emotional face onset, involving connections between the amygdalae, insulae, occipital, and frontal regions was found. This study provides the first evidence of M170 responses and large-scale connectivity to emotional faces in young children using OPM-MEG. Findings highlight the feasibility of OPMs for developmental neuroimaging and provide insights into the maturation of emotion-related neural circuits in early childhood. These results establish a foundation for future face processing research in clinical paediatric populations, such as autism.

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