Statistical Analysis of fMRI Data

开始时间: 02/09/2015 持续时间: 6 weeks

所在平台: Coursera

课程类别: 医学

大学或机构: Johns Hopkins University(约翰•霍普金斯大学)

授课老师: Martin Lindquist



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In this course we will explore the intersection of statistics and functional magnetic resonance imaging, or fMRI, which is a non-invasive technique for studying brain activity. We will discuss the analysis of fMRI data, from its acquisition to its use in locating brain activity, making inference about brain connectivity and predictions about psychological or disease states. A standard fMRI study gives rise to massive amounts of noisy data with a complicated spatio-temporal correlation structure. Statistics plays a crucial role in understanding the nature of the data and obtaining relevant results that can be used and interpreted by neuroscientists.


  • Introduction to fMRI
  • Acquisition of fMRI data
  • Location of brain activity
  • Making inferences about brain connectivity
  • Making predictions about psychological and disease states



医学统计分析精粹 2014-04-16 18:42 0 票支持; 0 票反对

fMRI Analysis应该算是医学统计中的集大成者。或者,至少这门课体现出了集大成的水平。无论实验设计统计分析流程角度、数据准备过程、还是GLM和MLM等高级回归模型、再到PCA和ICA的多元分析方法,完美展现了现代统计学在医学中的应用。遗憾点,本课程没有配备电脑实验。

Deep Learning Specialization on Coursera


Explore the intersection of statistics and functional magnetic resonance imaging (fMRI), a non-invasive technique for studying brain activity.


约翰霍普金斯大学 fMRI