Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; Department of Neuroscience, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26506, USA.
Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Trends Neurosci. 2024 Apr;47(4):303-318. doi: 10.1016/j.tins.2024.01.003. Epub 2024 Feb 23.
Stroke is a leading cause of adult disability. Understanding stroke damage and recovery requires deciphering changes in complex brain networks across different spatiotemporal scales. While recent developments in brain readout technologies and progress in complex network modeling have revolutionized current understanding of the effects of stroke on brain networks at a macroscale, reorganization of smaller scale brain networks remains incompletely understood. In this review, we use a conceptual framework of graph theory to define brain networks from nano- to macroscales. Highlighting stroke-related brain connectivity studies at multiple scales, we argue that multiscale connectomics-based approaches may provide new routes to better evaluate brain structural and functional remapping after stroke and during recovery.
中风是导致成年人残疾的主要原因之一。要了解中风损伤和恢复情况，需要在不同时空尺度上解读复杂大脑网络的变化。尽管大脑读出技术的最新发展和复杂网络建模的进展极大地改变了当前对宏观尺度中风对大脑网络影响的理解，但对较小尺度大脑网络的重组仍不完全了解。在这篇综述中，我们使用图论的概念框架来定义从纳米到宏观尺度的大脑网络。通过强调多个尺度的中风相关脑连接研究，我们认为基于多尺度连接组学的方法可能为更好地评估中风后和恢复期间大脑结构和功能的重映射提供新途径。
