Introduction to MRI analysis

3 credits · Undergraduate

This course offers a comprehensive exploration of neuroimaging analysis applied to structural and functional MRI data. Students will engage deeply with methodologies including Voxel-based morphometry, functional connectivity analysis, independent component analysis, graph analysis and other sophisticated approaches in neuroimaging, investigating their utility for understanding the impact of disease on brain structure and function. CALENDAR NOTES: Students should have a basic knowledge of algorithms, artificial intelligence/machine learning but this is not mandatory. PREREQUISITES: (CSCI 1300 or MATH 1000), MATH 1030, and (CSCI 2360 or STAT 2060)