De Domenico Manlio
Gigascience. 2017 May 1;6(5):1-8. doi: 10.1093/gigascience/gix004.
Understanding how the human brain is structured, and how its architecture is related to function, is of paramount importance for a variety of applications, including but not limited to new ways to prevent, deal with, and cure brain diseases, such as Alzheimer's or Parkinson's, and psychiatric disorders, such as schizophrenia. The recent advances in structural and functional neuroimaging, together with the increasing attitude toward interdisciplinary approaches involving computer science, mathematics, and physics, are fostering interesting results from computational neuroscience that are quite often based on the analysis of complex network representation of the human brain. In recent years, this representation experienced a theoretical and computational revolution that is breaching neuroscience, allowing us to cope with the increasing complexity of the human brain across multiple scales and in multiple dimensions and to model structural and functional connectivity from new perspectives, often combined with each other. In this work, we will review the main achievements obtained from interdisciplinary research based on magnetic resonance imaging and establish de facto, the birth of multilayer network analysis and modeling of the human brain.
了解人类大脑的结构以及其架构与功能之间的关系，对于包括但不限于预防、处理和治愈脑部疾病（如阿尔茨海默病或帕金森病）以及精神疾病（如精神分裂症）的各种新方法而言至关重要。结构和功能神经成像的最新进展，以及对涉及计算机科学、数学和物理学的跨学科方法日益增长的态度，正在催生计算神经科学领域有趣的成果，这些成果通常基于对人类大脑复杂网络表示的分析。近年来，这种表示经历了一场理论和计算革命，正在突破神经科学领域，使我们能够应对人类大脑在多个尺度和维度上日益增加的复杂性，并从新的视角对结构和功能连接进行建模，这些视角往往相互结合。在这项工作中，我们将回顾基于磁共振成像的跨学科研究取得的主要成果，并事实上确立人类大脑多层网络分析和建模的诞生。
