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讲座:静息态磁共振成像在认知神经科学中的应用

发布日期:2016-11-17   浏览次数

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主讲人:臧玉峰

   

Dr. ZANG Yu-Feng (臧玉峰) is a professor of Center for Cognition and Brain Disorders, Hangzhou Normal University. He got his Bachelor degree of medicine in Hebei Medical College in 1984, Master degree of neurosurgery in Tianjin Medical College in 1991, and Doctor degree of psychiatry in Peking University in 2002. Before he started neuroimaging research, he had served as a neurosurgeon for 14 years. He has been focusing on the resting-state fMRI (RS-fMRI) for more than 10 years. His main research interests are algorithms of local brain activity and their application to cognitive neuroscience and brain disorders. Together with his colleagues, Dr. Zang developed regional homogeneity (ReHo) and amplitude of low frequency fluctuation (ALFF) methods for RS-fMRI analysis. His team implemented RS-fMRI toolkits including REST, DPARSF, and REST-GCA. These toolkits have been cited by about 1000 papers. They also set up a website (www.restfmri.net) for RS-fMRI education. This website has 1,163,667 Pageviews (Google Analytics). He has co-authored more than 110 papers which were cited 8689 times with H index = 44 (Web of Science). Dr. Zang was listed as Most Cited Chinese Researchers by Elsevier in 2014 and 2015 (in Neuroscience).

   

Introduction 

Resting-state fMRI has been widely used to investigate the spontaneous brain activity, either normal or abnormal. There are two categories of analytic methods. One is for functional integration for depicting the network and complexity of the brain function. The other is functional segregation for depicting local activity. These methods are very different from conventional task fMRI data analysis. Conventional task fMRI data is usually based on blocked design or event-related design. A strong assumpotion for the conventional experimental design is that the hemodynamic responses to the stimuli are linearly additive and time invariant. And the corresponding analytic method is general linear model (GLM). However, such assumption is obviously not suitable to some natural stimuli, e.g., strong emotional scene, drug craving, and some tasks requiring continuous and performance such as sustained attention. As contrast to blocked design (30 s) and event-related design (a few seconds), a “state” design (quite a few minutes) holds prmising to solve these problems.

   

时间:20161117日13:30 

地点:逸夫楼431