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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/functional-mri
课程评论：没有评论
课程名称：功能磁共振成像原理1 课程概述： 功能磁共振成像（fMRI）是研究人类大脑在不同任务和心理状态下功能的最广泛使用的技术。这种技术汇集了多个学科的研究者，包括心理学家、统计学家、物理学家、计算机科学家、神经科学家、医学研究人员、行为科学家、工程师以及公共卫生研究者和生物学家等，共同推动对人脑及其思维理解的进步。该课程涵盖了功能磁共振成像（fMRI）数据的设计、采集和分析，包括心理推断、磁共振物理学、K空间、实验设计、fMRI数据的预处理以及广义线性模型（GLM）的相关内容。课程相关书籍可在此链接找到：https://leanpub.com/principlesoffmri。 课程大纲： 第1周：介绍fMRI，讨论数据采集和重建。 第2周：讨论fMRI信号、实验设计和预处理。 第3周：探讨广义线性模型（GLM）。 第4周：课程内容待定。
Name:Week 1
Description:This week we will introduce fMRI, and talk about data acquisition and reconstruction.
Name:Week 2
Description:This week we will discuss the fMRI signal, experimental design and pre-processing.
Name:Week 3
Description:This week we will discuss the General Linear Model (GLM).
Name:Week 4
Description:The description goes here
Functional Magnetic Resonance Imaging (fMRI) is the most widely used technique for investigating the living, functioning human brain as people perform tasks and experience mental states. It is a convergence point for multidisciplinary work from many disciplines. Psychologists, statisticians, physicists, computer scientists, neuroscientists, medical researchers, behavioral scientists, engineers, public health researchers, biologists, and others are coming together to advance our understanding of the human mind and brain. This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data, including psychological inference, MR Physics, K Space, experimental design, pre-processing of fMRI data, as well as Generalized Linear Models (GLM’s). A book related to the class can be found here: https://leanpub.com/principlesoffmri.
