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Browse materialsMIT HST.583 · Fall 2008

Functional Magnetic Resonance Imaging: Data Acquisition and Analysis

Art: Woodville, William, Medical Botany 1790-0001 0072, 1790 · Public domain

Instructor: Dr. Randy Gollub
Term: Fall 2008
Level: Graduate
What's inside: 4 videos · 4 problem sets · 2 exams · 7 solutions · 1 lecture note · 1 reading · 58 other files · 6 web pages
Materials open: Videos here · files on MIT OCW

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About this course

Source: MIT OpenCourseWare HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2008, Dr. Randy Gollub — original course page on ocw.mit.edu ↗. License: CC BY-NC-SA 4.0. Study order: MIT's own listing order, section by section. Taken from MIT's published course files, downloaded from ocw.mit.edu on September 23, 2026. How RedLectern is built.

Materials are grouped the way MIT organized them. A verified, course-wide order has not been established here.

Has MIT solutions 7 files in this course are named by MIT as solutions.

Before you start

Prerequisites are not listed here. Check MIT's own syllabus for this course.

How this course was organized

What's here, and what isn't

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MIT's page format for this item wasn't recognized clearly enough to place it safely. (23 items)
Referenced in a table, but without MIT's own verified order, so it isn't used to claim a sequence. (2 items)

Materials by section

Grouped by section, as MIT organized them. Not sequenced or ordered.

Readings

Lecture Notes

13 files

4 videos

1 image

Supplemental video for slide 47 Screen grating animationGIF image Open ↗

Labs

26 files

Assignments

8 files

Exams

Other materials from this course

17 files

MIT OpenCourseWare, Dr. Randy Gollub, HST.583 Functional Magnetic Resonance Imaging: Data Acquisition and Analysis, Fall 2008.

License: CC BY-NC-SA 4.0 · Edition: Fall 2008 · Open the original course on OCW ↗

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Functional Magnetic Resonance Imaging: Data Acquisition and Analysis

Before you start

What's here, and what isn't

Not included here

Materials by section

Readings

Lecture Notes

Labs

Assignments

Exams

Other materials from this course

Lecture 6: MRI physics I ( PDF - 1.5 MB )

Lecture 7: MRI physics II ( PDF - 4.9 MB )

Lecture 8: MRI physics III ( PDF - 2.1 MB )

Lecture 9: Imaging physiology I: brain at the baseline ( PDF - 1.7 MB )

Lecture 10: Imaging physiology II: brain activation ( PDF - 2.9 MB )

Lecture 11: Imaging physiology III: BOLD imaging ( PDF - 1.2 MB ) Supplemental video for slide 47 Screen grating animation ( GIF )

Lecture 12: Imaging physiology IV: BOLD (cont.) and non-BOLD techniques ( PDF - 2.4 MB ) Supplemental diffusion videos for slides 24-27 Large vessels: GRE ( YouTube ) Large vessels: SE ( YouTube ) Small vessels: GRE ( YouTube ) Small vessels: SE ( YouTube )

Lecture 13: Quantitative perfusion and diffusion imaging biomarkers Physics of diffusion weighted imaging ( PDF - 1.2 MB )

Lecture 17: Stats 2: level 1 ( PDF )

Lecture 18: Stats 3: level 1 (cont.)

Lecture 19: Stats 4: level 2

Lecture 20: Stats 5: correction for multiple measures ( PDF )

Lecture 21: Stats 6: exploratory analysis, PCA, ICA, fuzzy clustering Stats 7: causality ( PDF )

Lecture 22: Structural-functional integration

Lecture 23: Quantitative neuroimaging biomarkers ( PDF - 1.6 MB ) Surface-based anatomical analysis

Lecture 24: Spatial normalization for group analysis ( PDF )

Lecture 25: Granger causality analysis for fMRI