140.682.01 | AY 2013-2014 - 2nd Term | 4 Credit(s)
MW 3:30:00 PM
  • Contact Information
    Martin Lindquist
    Arnold Bakker
  • Course Learning Objectives

    Upon successfully completing this course, students will be able to:

    • Describe key aspects of fMRI experimental design, and design and prepare a human subjects fMRI experiment.
    • Explain the specific methods, source of MR signal, goals and limitations and research design issues for fMRI studies.
    • Import and pre-process fMRI data including slice-timing correction, motion correction and registration.
    • Perform individual subject and group-level univariate statistical analysis of fMRI data with appropriate thresholding and multiple comparison correction.
    • Critically evaluate research methods and results of human subjects fMRI studies in published literature.
  • Course Description
    Introduces the principles of functional magnetic resonance imaging (fMRI) as applied to human subjects research. 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 describing all aspects of an fMRI study from the initial experimental design, through data collection and pre-processing, to statistical analysis. Describes the goals and limitations for fMRI studies, the data format and how it is processed prior to statistical analysis. Focuses on preforming individual subject and group level univariate statistical analysis of fMRI data with appropriate thresholding and multiple comparison correction. Weekly labs provide a practical application of these concepts to sample datasets and prepares students for the analysis of fMRI data.
  • Intended Audience
    Graduate students in the Schools of Medicine, and Public Health, medical residents, and postdoctoral fellows, and junior, as well as, senior faculty members who have an interest in using neuroimaging as a new method in their research.
  • Methods of Assessment
    Lab assignments (50%) and take-home final exam (50%)
  • Prerequisites
    An introductory statistics class and a working knowledge of regression
  • Course Schedule

    Please see the course Session for a full list of dates and items for this course.

  • Academic Ethics Code

    Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.

  • Disability Support Services
    If you are a student with a documented disability who requires an academic accommodation, please contact the Office of Student Life Services at 410-955-3034 or via email at