METHODS FOR NEUROIMAGING RESEARCH
Provides a practical foundation for neuroimaging research studies with statistical image analysis. Specific imaging methods include functional BOLD MRI, structural MRI morphometry, and diffusion tensor imaging. Lectures and associated in-class computer exercises will cover the physics and methods of image acquisition, steps and tools for image analyses, the basis for statistical image analyses and interpretation of the results.
Prerequisites & course information
Requisites: Graduate/professional standing or ( PHYSICS 104 , 202 or 208 ) Course Designation: Core GenEd - Natural Science & Wellness + Lab Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Develop a basic understanding of magnetic resonance imaging, anatomical imaging methods, functional BOLD MRI (fMRI), and diffusion tensor imaging (DTI). Audience: Both Grad & Undergrad 2. Learn and apply basic methods for statistical image analyses. Audience: Both Grad & Undergrad 3. Gain hands-on experience with tools for processing and analyses of fMRI, DTI and anatomic brain images. Audience: Both Grad & Undergrad 4. Develop and demonstrate skills to independently process, analyze, troubleshoot and interpret MRI neuroimaging data Audience: Graduate Learning Outcomes: 1. Develop a basic understanding of magnetic resonance imaging, anatomical imaging methods, functional BOLD MRI (fMRI), and diffusion tensor imaging (DTI). Audience: Both Grad & Undergrad 2. Learn and apply basic methods for statistical image analyses. Audience: Both Grad & Undergrad 3. Gain hands-on experience with tools for processing and analyses of fMRI, DTI and anatomic brain images. Audience: Both Grad & Undergrad 4. Develop and demonstrate skills to independently process, analyze, troubleshoot and interpret MRI neuroimaging data Audience: Graduate
Sources
- Course catalogue ↗2026-2027