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Transient brain networks underlying interpersonal strategies during synchronized action.
Social Cognitive and Affective Neuroscience ( IF 3.9 ) Pub Date : 2020-04-27 , DOI: 10.1093/scan/nsaa056
Ole Adrian Heggli 1 , Ivana Konvalinka 2 , Joana Cabral 3, 4 , Elvira Brattico 1, 5 , Morten L Kringelbach 1, 4 , Peter Vuust 1
Affiliation  

Interpersonal coordination is a core part of human interaction, and its underlying mechanisms have been extensively studied using social paradigms such as joint finger tapping. Here, individual and dyadic differences have been found to yield a range of dyadic synchronization strategies, such as mutual adaptation, leading-leading, and leading-following behaviour, but the brain mechanisms that underlie these strategies remain poorly understood. To identify individual brain mechanisms underlying emergence of these minimal social interaction strategies, we contrasted EEG-recorded brain activity in two groups of musicians exhibiting the mutual adaptation and leading-leading strategies. We found that the individuals coordinating via mutual adaptation exhibited a more frequent occurrence of phase-locked activity within a transient action-perception related brain network in the alpha range, as compared to the leading-leading group. Furthermore, we identified parietal and temporal brain regions that changed significantly in the directionality of their within-network information flow. Our results suggest that the stronger weight on extrinsic coupling observed in computational models of mutual adaptation as compared to leading-leading might be facilitated by a higher degree of action-perception network coupling in the brain.

中文翻译:

同步动作过程中基于人际关系策略的瞬态大脑网络。

人际协调是人类互动的核心部分,并且它的基本机制已经使用诸如联合手指敲击等社会范式进行了广泛研究。在这里,已经发现个体差异和二元差异会产生一系列二元同步策略,例如相互适应,领先-领先和领先-跟随行为,但是构成这些策略基础的大脑机制仍然知之甚少。为了确定这些最低限度的社交互动策略出现背后的个体大脑机制,我们对比了脑电图记录的两组音乐家的大脑活动,这些音乐家表现出相互适应和领先的策略。我们发现,与领导小组相比,通过相互适应进行协调的个体在短暂的行动知觉相关的大脑网络内的α范围内,更频繁地出现锁相活动。此外,我们发现顶叶和颞叶大脑区域在其网络内信息流的方向性上发生了显着变化。我们的结果表明,与领先-领先相比,在相互适应的计算模型中观察到的外在耦合的权重更大,这可能是由于大脑中较高的动作知觉网络耦合程度所致。我们确定了顶叶和颞叶大脑区域的网络内信息流的方向性发生了显着变化。我们的结果表明,与领先-领先相比,在相互适应的计算模型中观察到的外在耦合的权重更大,这可能是由于大脑中较高的动作知觉网络耦合程度所致。我们确定了顶叶和颞叶大脑区域的网络内信息流的方向性发生了显着变化。我们的结果表明,与领先-领先相比,在相互适应的计算模型中观察到的外在耦合的权重更大,这可能是由于大脑中较高的动作知觉网络耦合程度所致。
更新日期:2020-04-27
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