Department of Radiology, Lausanne University Hospital and University of Lausanne (CHUV-UNIL) Lausanne, Switzerland.
Front Syst Neurosci. 2012 Jun 13;6:43. doi: 10.3389/fnsys.2012.00043. eCollection 2012.
THE COMBINATION OF ADVANCED NEUROIMAGING TECHNIQUES AND MAJOR DEVELOPMENTS IN COMPLEX NETWORK SCIENCE, HAVE GIVEN BIRTH TO A NEW FRAMEWORK FOR STUDYING THE BRAIN: "connectomics." This framework provides the ability to describe and study the brain as a dynamic network and to explore how the coordination and integration of information processing may occur. In recent years this framework has been used to investigate the developing brain and has shed light on many dynamic changes occurring from infancy through adulthood. The aim of this article is to review this work and to discuss what we have learned from it. We will also use this body of work to highlight key technical aspects that are necessary in general for successful connectome analysis using today's advanced neuroimaging techniques. We look to identify current limitations of such approaches, what can be improved, and how these points generalize to other topics in connectome research.
高级神经影像学技术的结合以及复杂网络科学的重大发展，为研究大脑诞生了一个新的框架：“连接组学”。该框架提供了描述和研究大脑作为动态网络的能力，并探索信息处理的协调和整合如何发生。近年来，该框架已被用于研究发育中的大脑，并揭示了从婴儿期到成年期发生的许多动态变化。本文的目的是回顾这项工作，并讨论从中我们学到了什么。我们还将利用这些研究成果来突出连接组学分析中使用当今先进的神经影像学技术所需的关键技术方面。我们希望确定此类方法的当前局限性，哪些方面可以改进，以及这些要点如何推广到连接组学研究的其他主题。
