当前位置: X-MOL 学术Soc. Cogn. Affect. Neurosci. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The Integration of Social and Neural Synchrony; A Case for Ecologically-Valid Research Using MEG Neuroimaging.
Social Cognitive and Affective Neuroscience ( IF 3.9 ) Pub Date : 2020-05-07 , DOI: 10.1093/scan/nsaa061
Jonathan Levy 1, 2 , Kaisu Lankinen 3, 4 , Maria Hakonen 1, 5 , Ruth Feldman 2, 6
Affiliation  

The recent decade has seen a shift from artificial and environmentally-deprived experiments in neuroscience to real-life studies on multiple brains in interaction, coordination and synchrony. In these new interpersonal synchrony experiments, there has been a growing trend to employ naturalistic social interactions to evaluate mechanisms underlying synchronous neuronal communication. Here, we emphasize the importance of integrating the assessment of neural synchrony with measurement of non-verbal behavioral synchrony as expressed in various social contexts: relaxed social interactions, planning a joint pleasurable activity, conflict discussion, invocation of trauma, or support giving, and assess the integration of neural and behavioral synchrony across developmental stages and psychopathological conditions. We also showcase the advantages of MEG neuroimaging as a promising tool for studying interactive neural synchrony and consider the challenge of ecological validity at the expense of experimental rigor. We review recent evidence of rhythmic information flow between brains in interaction and conclude with addressing state-of-the-art developments that may contribute to advance research on brain-to-brain coordination to the next level.

中文翻译:


社会和神经同步的整合;使用 MEG 神经影像进行生态有效研究的案例。



近十年来,神经科学领域从人工和环境匮乏的实验转向了现实生活中对多个大脑相互作用、协调和同步的研究。在这些新的人际同步实验中,采用自然社交互动来评估同步神经元通信的机制已成为一种日益增长的趋势。在这里,我们强调将神经同步性评估与各种社会环境中表达的非语言行为同步性测量相结合的重要性:轻松的社交互动、计划联合愉快的活动、冲突讨论、创伤或支持给予,以及评估跨发育阶段和精神病理条件的神经和行为同步的整合。我们还展示了 MEG 神经成像作为研究交互式神经同步的有前途的工具的优势,并考虑以牺牲实验严谨性为代价的生态有效性的挑战。我们回顾了大脑之间相互作用的节律性信息流的最新证据,并总结了可能有助于将脑对脑协调研究推进到下一个水平的最先进的发展。
更新日期:2020-05-07
down
wechat
bug