Courses:

Engineering and Applied Sciences >> Biomedical Engineering


For Course Instructors

  • Advertise your course for free
  • Feature your course listing
  • Create course discussion group
  • Link to your course page
  • Increase student enrollment

More Info...>>


Course Info

  • Course Number / Code:
  • HST.583 (Fall 2006) 
  • Course Title:
  • Functional Magnetic Resonance Imaging: Data Acquisition and Analysis 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Health Sciences and Technology 
  • Course Introduction:
  •  


  • HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis



    Fall 2006




    Course Highlights




    HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis



    Fall 2006


    Three diagrams of the brain showing varying activity of the amygdala region.
    Attention and valence effects in the amygdala, based on fMRI studies. (A) Arrows point to the amygdala. Attended faces compared to unattended faces evoked significantly greater activations for all facial expressions. The level of the coronal section is indicated on the small whole-brain inset. (B) Estimated responses for the left and right amygdala regions of interest as a function of attention and valence. FA, fearful attended; FU, fearful unattended; HA, happy attended; HU, happy unattended; NA, neutral attended; NU, neutral unattended. (Source: Pessoa, L., et al. "Attentional Control of the Processing of Neutral and Emotional Stimuli." Cognitive Brain Research 15, no. 1 (2002): 31-45. Courtesy Elsevier, Inc., ScienceDirect. Used with permission.)


    Course Description


    This team taught, multidisciplinary course covers the fundamentals of magnetic resonance imaging relevant to the conduct and interpretation of human brain mapping studies. The challenges inherent in advancing our knowledge about brain function using fMRI are presented first to put the work in context. The course then provides in depth coverage of the physics of image formation, mechanisms of image contrast, and the physiological basis for image signals. Parenchymal and cerebrovascular neuroanatomy and application of sophisticated structural analysis algorithms for segmentation and registration of functional data are discussed. Additional topics include fMRI experimental design including block design, event related and exploratory data analysis methods, building and applying statistical models for fMRI data. Human subjects issues including informed consent, institutional review board requirements and safety in the high field environment are presented.


    Technical Requirements


    Special software is required to use some of the files in this course: .mat, .mov, .dcm, .zip, .mnc, .gz, and .tar.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






© 2009-2020 HigherEdSpace.com, All Rights Reserved.
Higher Ed Space ® is a registered trademark of AmeriCareers LLC.