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Course Catalog

140.683.01 PRINCIPLES AND METHODS OF FUNCTIONAL NEUROIMAGING II

Department:
Biostatistics
Term:
3rd term
Credits:
4 credits
Academic Year:
2013 - 2014
Location:
East Baltimore
Class Times:
  • M W,  3:30 - 4:50pm
Lab Times:
  • Friday,  10:30 - 11:50am
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Martin Lindquist
Course Instructors:

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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:

  1. Perform individual subject and group level multivariate statistical analysis of fMRI data
  2. Perform both functional and effective connectivity analysis, and interpret the results of graph-based analysis of fMRI data
  3. Prepare methods and results sections describing the analyzed data, suitable for publication in a peer-reviewed article
  4. 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