HD 4630

Introduction to Functional MRI Analysis for Human Neuroimaging

Course Description

Course information provided by the Courses of Study 2016-2017.

Functional magnetic resonance imaging (fMRI) is a non-invasive method for observing the living human brain. This course will serve as an introduction to neuroimaging methods, introducing students to the preprocessing and analysis of fMRI data, including univariate and multivariate techniques in addition to acquiring a conceptual understanding of the material, students will engage in hands-on laboratory sessions and perform a meta-analysis of the neuroimaging literature.

When Offered Spring.

Permission Note Open to standing juniors, seniors, and graduate students with permission of the instructor only.
Prerequisites/Corequisites Prerequisite: HD 2200 or PSYCH 2230 or BIONB 2220;  or HD 2830; PSYCH 3500; AEM 2100 or BTRY 3010 or ILRST 2100 or MATH 1710 or PAM 2100.

Distribution Category (PBS-HE)

• A successful student in HD4630 will learn the features of MRI data, as well as the procedure and rationale for MRI data preprocessing and analysis in order to empirically determine the relationship between brain and cognition.
• Students will demonstrate comprehension of the concepts of fMRI data analysis in class participation and written assignments.
• Further, these concepts will be applied to the practical application of fMRI data preprocessing and analysis in laboratory sessions.
• In order to evaluate the reliability of the methods in the field of cognitive neuroscience, each student will conduct a meta-analysis of neuroimaging studies in a cognitive domain of their choice. This project will demonstrate:
• Achievement of literacy in fMRI research methods
• Improve the ability to clearly and effectively write and communicate.
• Apply newly acquired knowledge to the critique and evaluation of published scientific reports.

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