•为学生提供有关大脑成像研究如何有助于认知神经科学研究的批判性概述。• To provide students with a strong foundation in understanding the logic of the General Linear Model (GLM) for statistical analysis, particularly for brain imaging data • To use the GLM logic as a foundation for understanding the effects of artifacts, preprocessing, choice of model parameters, and experimental design • To provide students with sufficient understanding of neuroimaging approaches that they can read and critique articles on the topic and make appropriate choices regarding experimental design and analysis • To give学生对fMRI的技术细节(例如MR物理学,大胆的反应和预处理步骤)的概念理解,而无需在物理,生物学或数学方面具有强大的背景。•为学生提供对脑成像分析的动手理解,并不强调“在任何特定的软件包中要按下哪些按钮”,而是在为什么人们可以对设计和分析做出某些决定,而不论软件如何。•促进批判性思维,项目选择和改进,假设产生,假设检验和口头演示的技能
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