Course Descriptions
Multimodal Brain Imaging
BM598
Credits3
Course overview and learning outcomes: Multimodal Brain Imaging course will give students an
understanding on the neurobiological principles of fMRI, signal, and noise components, structural and
functional (fMRI) connectivity, simultaneous acquisition of EEG-fMRI, analysis of multimodal data.
The course aims to give students hands-on experience with widely used software/toolboxes developed for
analysis of functional data, e.g., AFNI (Analysis of Functional NeuroImages) and EEGLAB. The goal is
to make the course as interactive as possible, hence we will have time to include hands on data analysis,
literature reading/discussion and assignment presentations throughout the semester.
Teaching methods: Lecturing, literature reading and hands-on programming assignments.
Suggested textbooks: Functional MRI by Huettel, Song, McCarthy (3rd Edition); From Picture to Proton
by McRobbie, Moore, Prince, Graves; EEG-fMRI by Mulert and Lemieux.
Human Cognition and Behavior
BM597
Credits3
Course overview and learning outcomes: Human Cognition and Behavior course
will cover topics on human brain development, brain function and structure,
cognitive and behavioral studies including attention, memory, learning, and
decision making. Students will have an understanding on the interactions
between behavior, physiology, and cognition during various conditions of our
daily lives such as drowsiness and sleep, and learn how to relate them with
advanced imaging and data analysis techniques.
The course aims to give students a detailed understanding of cognitive
research in biomedical sciences and engineering.
Teaching methods: Lecturing, reading assignments and tutorials.
Quantitative Magnetic Resonance Imaging (qMRI) of the Brain
BM59A
Credits
Engineering in Medicine (Undergrad Course)
BM402
Credits
