140.683.01
Principles and Methods of Functional Neuroimaging II
Location
East Baltimore
Term
4th Term
Department
Biostatistics
Credit(s)
4
Academic Year
2024 - 2025
Instruction Method
In-person
M, W, 9:00 - 10:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Successful completion (B or better) of the course Principles and Methods of Functional Neuroimaging I (140.682)
Continues where Principles and Methods of Functional Neuroimaging I (140.682) leaves off. Presents a theoretical overview of human fMRI research and includes key aspects of the design, data collection, processing, analysis and publication of a human subjects fMRI experiment. Focuses on multivariate statistical analysis of fMRI data. Describes both functional and effective connectivity analysis, graph-based analysis of fMRI data, and algorithms for performing brain decoding. Also discusses preparation of methods and results from fMRI experiments for peer-reviewed publication, and how to critically evaluate research methods and results of human subjects fMRI studies in the published literature. Provides a practical application of these concepts to sample fMRI datasets via weekly labs.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Perform individual subject and group level multivariate statistical analysis of fMRI data
- Perform both functional and effective connectivity analysis, and interpret the results of graph-based analysis of fMRI data
- Prepare methods and results sections describing the analyzed data, suitable for publication in a peer-reviewed article
- Critically evaluate research methods and results of human subjects fMRI studies in published literature
Methods of Assessment
This course is evaluated as follows:
- 50% Lab Assignments
- 50% Take-home final exam