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Neural connections foster social connections: a diffusion-weighted imaging study of social networks

机译:神经联系促进社交联系:社交网络的扩散加权成像研究

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摘要

Although we know the transition from childhood to adulthood is marked by important social and neural development, little is known about how social network size might affect neurocognitive development or vice versa. Neuroimaging research has identified several brain regions, such as the amygdala, as key to this affiliative behavior. However, white matter connectivity among these regions, and its behavioral correlates, remain unclear. Here we tested two hypotheses: that an amygdalocentric structural white matter network governs social affiliative behavior and that this network changes during adolescence and young adulthood. We measured social network size behaviorally, and white matter microstructure using probabilistic diffusion tensor imaging in a sample of neurologically normal adolescents and young adults. Our results suggest amygdala white matter microstructure is key to understanding individual differences in social network size, with connectivity to other social brain regions such as the orbitofrontal cortex and anterior temporal lobe predicting much variation. In addition, participant age correlated with both network size and white matter variation in this network. These findings suggest the transition to adulthood may constitute a critical period for the optimization of structural brain networks underlying affiliative behavior.
机译:尽管我们知道从童年到成年的过渡以重要的社会和神经发育为标志,但对于社交网络规模如何影响神经认知发育或反之亦然知之甚少。神经影像学研究已经确定了几个大脑区域,例如杏仁核,是这种隶属行为的关键。然而,这些区域之间的白质连通性及其行为相关性仍不清楚。在这里,我们测试了两个假设:杏仁核中心的结构性白质网络支配着社会归属行为,并且该网络在青春期和成年期会发生变化。我们从行为学上测量了社交网络的大小,并在神经学上正常的青少年和年轻人中使用概率扩散张量成像测量了白质的微观结构。我们的研究结果表明杏仁核白质微观结构是理解社交网络大小个体差异的关键,与其他社交大脑区域(如眶额皮质和颞叶前叶)的连通性可预测出很大的差异。此外,参与者年龄与网络规模和该网络中的白质变化都相关。这些发现表明,向成年的过渡可能是优化隶属行为基础的结构性脑网络的关键时期。

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