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Course Catalog

140.683.01 PRINCIPLES AND METHODS OF FUNCTIONAL NEUROIMAGING II

Department: Biostatistics
Term: 3rd term
Credits: 4 credits
Contact: Martin Lindquist
Academic Year: 2013 - 2014
Course Instructors:
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 Objective(s):
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%)
Location: East Baltimore
Class Times:
  • Monday 3:30 - 4:50
  • Wednesday 3:30 - 4:50
Lab Times:
  • Friday 10:30 - 11:50
Enrollment Minimum: 10
Instructor Consent: No consent required
Prerequisite:

Successful completion (B or better) of the course Principles and Methods of Functional Neuroimaging I (140.682)

Auditors Allowed: Yes, with instructor consent
Grading Restriction: Letter Grade or Pass/Fail