140.683.01
Principles and Methods of Functional Neuroimaging II
Cancelled
- Location:
- East Baltimore
- Term:
- 4th term
- Department:
- Biostatistics
- Credits:
- 4 credits
- Academic Year:
- 2022 - 2023
- Instruction Method:
- In-person
- Class Times:
-
- M W, 9:00 - 10:20am
- Auditors Allowed:
- Yes, with instructor consent
- Grading Restriction:
- Letter Grade or Pass/Fail
- Course Instructors:
- Contact:
- Martin Lindquist
- Resources:
- Prerequisite:
Successful completion (B or better) of the course Principles and Methods of Functional Neuroimaging I (140.682)
- Description:
-
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:
Lab assignments (50%) and take-home final exam (50%)
- Instructor Consent:
No consent required