A network engineering perspective on probing and perturbing cognition with neurofeedback.
A network engineering perspective on probing and perturbing cognition with neurofeedback.
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DOI：
10.1111/nyas.13338
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发表时间：
2017-05
影响因子：
5.2
通讯作者：
Khambhati AN
中科院分区：
文献类型：
--
作者：
Bassett DS;Khambhati AN
网络科学与工程提供了一个灵活的和通用的工具集来描述和操纵复杂的系统，其特征是组件之间的异构交互模式。虽然这些工具经典地应用于社会系统，但最近被证明在大脑研究中特别有用。在这篇综述中，我们描述了新生的使用这些工具来了解人类的认知，我们讨论了它们的效用，告知有意义的和可预测的扰动的认知结合新兴的能力神经反馈。为了融合这些不同的研究，我们建立在大脑功能（作为一个复杂的网络）以及我们如何开发和定位干预或调制（作为一种网络控制形式）的新兴概念上。最后，我们概述了目前的前沿，桥梁神经反馈，连接组学和网络控制理论，以更好地理解人类认知。
Network science and engineering provide a flexible and generalizable tool set to describe and manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied to social systems, these tools have recently proven to be particularly useful in the study of the brain. In this review, we describe the nascent use of these tools to understand human cognition, and we discuss their utility in informing the meaningful and predictable perturbation of cognition in combination with the emerging capabilities of neurofeedback. To blend these disparate strands of research, we build on emerging conceptualizations of how the brain functions (as a complex network) and how we can develop and target interventions or modulations (as a form of network control). We close with an outline of current frontiers that bridge neurofeedback, connectomics, and network control theory to better understand human cognition.