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Functional Magnetic Resonance Imaging: Data Acquisition and Analysis >> Content Detail



Study Materials



Readings


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Required Textbook


Amazon logo Huettel, S. A., A. W. Song, and G. McCarthy. Functional Magnetic Resonance Imaging. Sunderland, MA: Sinauer Associates, Inc., 2004. ISBN: 9780878932887.

Assigned readings for lectures and labs are listed in the following table. The readings in the course textbook are required, while others are considered supplemental. Supplementary readings are also suggested for those with less background in the areas of neuroscience and statistics.

The discussions page lists additional papers assigned and covered in the discussion sessions.



Assigned Reading



SES #MODULESREADINGS
1Overview

After first lecture: course text, chapter 1.

Before first lab: course text, chapter 2.

Northoff, G., A. Heinzel, M. de Greck, F. Bermpohl, H. Dobrowolny, and J. Panksepp. "Self-Referential Processing in Our Brain – A Meta-analysis of Imaging Studies on the Self." Neuroimage 31, no. 1 (May 15, 2006): 440-457.

2-4Functional Neural Systems

Required

Course text, chapter 6, pp. 359-367 and 377-379.

Amazon logo Nolte, John. The Human Brain. 5th ed. Philadelphia, PA: Elsevier, 2002. Chapters 1, 3, 6, 17, and portions of 22 (pp. 506-525, and 547-561). ISBN: 9780323013208.

Optional

Course text, remainder of chapter 13.

Nolte, remainder of chapter 22.

Amazon logo Gazzaniga, M. The Cognitive Neurosciences. 3rd ed. Cambridge, MA: MIT Press, 2004, chapter 53. ISBN: 9780262072540.

Kosslyn S. M., et al. "Neural Foundations of Imagery." Nat Rev Neurosci 2, no. 9 (2001): 635-642.

Amazon logo Hanaway, J., et al. The Brain Atlas: A Visual Guide to the Human Central Nervous System. 2nd ed. New York, NY: Wiley & Sons, 2002, pp. 202-203, 222-225. ISBN: 9780471430582.

5-7Imaging Physiology
8-13Physics of Image Acquisition

Course text


Chapter 3: "Basic Principles of MR Signal Generation."

Chapter 4: "Basic Principles of MR Signal Formation."

Chapter 5: "MR Contrast Mechanisms and Pulse Sequences."

Chapter 9: "Signal and Noise in fMRI."

Optional

Students who feel they need additional support could also read the same material in:

Amazon logo Buxton, R., ed. Chapters from Introduction to Functional Magnetic Resonance Imaging: Principles and Techniques. Cambridge, UK: Cambridge University Press, 2001. ISBN: 9780521581134.

Chapter 4: "Nuclear Magnetic Resonance," pp. 64-85.

Chapter 5: "Magnetic Resonance Imaging," pp. 86-103.

Chapter 6: "Imaging Functional Activity," pp. 104-120.

Chapter 7: "Basic Physics of Magnetism and NMR," pp. 124-154.

Chapter 8: "Relaxation and Contrast in MRI," pp. 155-184.

Chapter 10: "Mapping the MR Signal," pp. 218-248.

Chapter 11: "MRI Techniques," pp. 249-273.

Chapter 12: "Noise and Artifacts in MR Images," pp. 274-303.

Chapter 16: "The Nature of the Blood Oxygenation Level Dependent Effect," pp. 390-416.

Chapter 17: "Mapping Brain Activation with BOLD-fMRI," pp. 417-444.

14-16Experimental Design

Course text


Chapter 9: "Signal and Noise in fMRI."

Chapter 11: "Experimental Design."

18-23fMRI Statistical Analysis

Course text


Chapter 10: "Preprocessing of fMRI Data."

Chapter 12: "Statistical Analysis."

24-27fMRI Structural and functional analysis

Course text


Chapter 8: "Spatial and Temporal Properties of fMRI."

Chapter 13: "Applications of fMRI."

Chapter 14: "Advanced fMRI Methods."

Chapter 15: "Converging Operations."




Supplementary Readings




Suggested for Students with no Prior Neuroscience Background


Amazon logo Nolte, John. Chapters from The Human Brain. 5th ed. Philadelphia, PA: Mosby, 2002. ISBN: 9780323013208.

  • Chapter 1: "Introduction to the Nervous System."
  • Chapter 3: "Gross Anatomy and General Organization of the Central Nervous System."


Suggested for Students with no Prior Statistics Background


Amazon logo DeGroot, M. H., and M. J. Schervish. Chapters from Probability and Statistics. 3rd ed. Reading, MA: Addison-Wesley Press, 2001. ISBN: 9780201524888.

  • Chapter 1: "Introduction to Probability."
  • Chapter 2: "Conditional Probability."

 








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