Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06520, USA; MD/PhD program, Yale School of Medicine, New Haven, CT 06520, USA.
Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06520, USA; MD/PhD program, Yale School of Medicine, New Haven, CT 06520, USA; Department of Neuroscience, Yale School of Medicine, New Haven, CT 06520, USA.
Trends Neurosci. 2023 Jul;46(7):508-524. doi: 10.1016/j.tins.2023.04.001. Epub 2023 May 8.
The rapid and coordinated propagation of neural activity across the brain provides the foundation for complex behavior and cognition. Technical advances across neuroscience subfields have advanced understanding of these dynamics, but points of convergence are often obscured by semantic differences, creating silos of subfield-specific findings. In this review we describe how a parsimonious conceptualization of brain state as the fundamental building block of whole-brain activity offers a common framework to relate findings across scales and species. We present examples of the diverse techniques commonly used to study brain states associated with physiology and higher-order cognitive processes, and discuss how integration across them will enable a more comprehensive and mechanistic characterization of the neural dynamics that are crucial to survival but are disrupted in disease.
大脑中神经活动的快速协调传播为复杂行为和认知提供了基础。神经科学各个子领域的技术进步提高了人们对这些动态的理解,但由于语义差异,这些领域的交汇点往往被掩盖,从而形成了特定于子领域的发现的孤岛。在这篇综述中,我们描述了如何将大脑状态简约地概念化为全脑活动的基本构建块,为跨尺度和物种关联发现提供一个通用框架。我们展示了一些常用的技术实例,这些技术用于研究与生理和更高阶认知过程相关的大脑状态,并讨论了如何在这些技术之间进行整合,将有助于对生存至关重要但在疾病中受到干扰的神经动力学进行更全面和更具机制性的描述。