Can Human decode human brain?

发布者:王雪发布时间:2018-12-28浏览次数:13

Speaker:     Prof.Chunlei Liu

Time:        14:00-15:30, Jan. 8

Location:    SIST 1A-200

Host:          Prof.Yuyao Zhang

Abstract:

As the command center for the human nervous system, human brain is the most complex and powerful processor for all our behavior, cognition and emotion. The intent of interpreting human brain structural and functional development has been going on for centuries, however, we still know very few things about the brain.

In the past decades, with the development of magnetic resonance imaging technique, we get a non-invasive and real-time way to observe the human brain. Significant advances have been made in our understanding of the basic stages and mechanisms of human brain development. Studies elucidating the neurobiology of brain development span the levels of neural organization from microanatomy, to in-vivo. Together this large body of work provides a picture of brain development as the product of a complex series of dynamic and adaptive processes operating within a highly constrained, genetically organized but constantly changing context. The willing of decoding brain development has brought both challenges and opportunities to researchers seeking to understand the fundamental processes that underlie our social and cognitive behavior.

This seminar is intended to provide an overview of some very basic principles of brain structural and functional development, drawn from MRI and cell modulation research, that may be of use to investigators from a wide range of disciplines.

大脑作为人类神经系统的指挥中心,是处理并控制我们所有行为,认知和情感的最复杂,最强大的中央处理系统。人类对于解释大脑结构和功能发展的研究可以追溯到两百年前,然而我们对大脑的运行机制和发育过程仍然知之甚少。近几十年来,快速发展的磁共振成像技术为我们提供了一种无创且实时的观察人脑的方式,使我们在理解人类大脑发育的基础阶段和机制方面取得了长足的进步。基于磁共振成像,脑神经科学研究阐明了大脑发育的神经生物学原理,并填补了从微观解剖学到活体神经学的研究空白。神经科学领域的大量工作为我们描绘了大脑发展的蓝图,它是一系列复杂的动态和适应性过程的产物。人类对于解码神经系统的渴望为科研人员提供了无限的挑战和机遇。

在本次讲座中,来自于加州伯克利的Chunlei Liu教授将为我们带来大脑结构和功能发展的一些非常基本的原理,这些原理来自于世界上最前沿的磁共振成像和细胞调节研究,对于来自不同领域的,对神经科学感兴趣的同学将是一堂具有启发性的和趣味性的讲座。

Bio: 

Prof. Chunlei Liu received his Ph.D. degree in Electrical Engineering from the Stanford University in 2003. Currently, he is an associate professor at University of California Berkeley in the department of Electrical Engineering and Computer Science (EECS). His main area of research has been magnetic resonance imaging (MRI) and remote cell modulation. He is recognized for his pioneering contributions to high-resolution diffusion MRI, the introduction of higher-order diffusion tensors for imaging brain networks and magnetic susceptibility mapping with MRI. His research accomplishments have been recognized by several national and international awards. For his work in fast imaging, he was selected as a Rabi Young Investigator Award Finalist by the International Society of Magnetic Resonance in Medicine (ISMRM) in 2007. He was awarded, in 2006, the inaugural Pathway to Independence Award by the National Institutes of Health (NIH). More recently in 2015, He received the Margulis Research Award from the Radiological Society of North America (RSNA) for research on Alzheimers disease.

SIST-Seminar 18124