关键词: brain organization early adversity generative models graph theory structural connectome unpredictable stress

Mesh : Animals Mice Brain Cognition

来  源:   DOI:10.1002/dev.22405   PDF(Pubmed)

Abstract:
Early adversity can change educational, cognitive, and mental health outcomes. However, the neural processes through which early adversity exerts these effects remain largely unknown. We used generative network modeling of the mouse connectome to test whether unpredictable postnatal stress shifts the constraints that govern the organization of the structural connectome. A model that trades off the wiring cost of long-distance connections with topological homophily (i.e., links between regions with shared neighbors) generated simulations that successfully replicate the rodent connectome. The imposition of early life adversity shifted the best-performing parameter combinations toward zero, heightening the stochastic nature of the generative process. Put simply, unpredictable postnatal stress changes the economic constraints that reproduce rodent connectome organization, introducing greater randomness into the development of the simulations. While this change may constrain the development of cognitive abilities, it could also reflect an adaptive mechanism that facilitates effective responses to future challenges.
摘要:
早期的逆境可以改变教育,认知,和心理健康结果。然而,早期逆境产生这些影响的神经过程在很大程度上仍然未知。我们使用小鼠连接体的生成网络建模来测试不可预测的产后压力是否改变了控制结构连接体组织的约束。用拓扑同构权衡长距离连接的布线成本的模型(即,具有共享邻居的区域之间的链接)生成了成功复制啮齿动物连接体的模拟。早期生活逆境的强加将表现最好的参数组合移向零,提高生成过程的随机性。简单地说,不可预测的产后压力改变了复制啮齿动物连接体组织的经济约束,在模拟的开发中引入更大的随机性。虽然这种变化可能会制约认知能力的发展,它还可以反映一种适应性机制,以促进对未来挑战的有效应对。
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