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(2:00-4:00 pm) |
(4:30-6:30 pm) |
| 1,2,3,4
Physics
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Sept
5 |
Introduction to course. Randy Gollub
Historical background, fMRI in perspective (principles, advantages and disadvantages of PET, EEG, MEG and optical imaging relative to fMRI). Robert Savoy Begin physics of MRI. Jorge Jovicich Handout problem set #1 Room: E25-119 (MIT) |
Safety and human subject issues.
Randy Gollub Reception and informal meeting
Room: 14-0637 (Computer lab, MIT) |
| Sept
12 |
Overview of MR physics. Radio-frequency pulses. Spatial
encoding of MR signal.
Conventional and fast MRI. Sequences and parameters. Johnson noise. Larry Wald Room: Research Affairs Conf. Rm. A (NMR Center, MGH) |
Lab 1: Introduction to fMRI
data acquisition Part 1: acquisition Rick Hoge and Jorge Jovicich Room: Bay 3 (NMR Center, MGH) |
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| Sept
19 |
BOLD contrast, how brain tissue components influence
contrast and resolution.
Magnetic field strength effects. Contrast limitations. Spatial and temporal resolution. Variations based on pulse sequences. Physics of perfusion, difussion and difusion tensor imaging. Larry Wald and Jorge Jovicich Room: E25-119 (MIT) |
Lab 1: Introduction to fMRI
data acquisition Part 2: analysis Rick Hoge and Jorge Jovicich Room: 14-0637 (Computer lab, MIT) |
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26 |
Alternatives to BOLD contrast. Effects of CBV and CBF
in BOLD signal.
Jorge Jovicich and Rick Hoge Room: E25-119 (MIT) |
Discussion session.
Problem set #1 (due) Tim Davis Room: E25-119 (MIT) |
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| 5,6,7
Physiology
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3 |
Applied respiratory and cardiovascular physiology. Robert
Banzett
Handout problem set #2 Room: Research Affairs Conf. Rm. A (NMR Center, MGH) |
Lab 2: Biophysical basis
of fMRI signals
Part 1: acquisition Rick Hoge and Jorge Jovicich Room: Bay 3 (NMR Center, MGH) |
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10 |
Physiologic basis of BOLD signal. Neurovascular
coupling. Global vs
regionally specific changes in CBF and metabolism. Physiological sources of noise in fMRI data: sources and correction. Rick Hoge Cerebrovascular anatomy and neural regulation of CNS blood flow. Randy Gollub Room: E25-119 (MIT) |
Lab1 due
Lab 2: Biophysical basis of fMRI signals Part 2: analysis Rick Hoge and Jorge Jovicich Room: 14-0637 (Computer lab, MIT) |
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17 |
Functional neuroanatomic systems. Randy
Gollub
Improving fMRI signal detection using physiological data. Jennifer Melcher Room: E25-119 (MIT) |
Lab 3: Improving fMRI signal
detection
using physiological data Jennifer Melcher and Irina Sigalovsky Room: 14-0637 (Computer lab, MIT) |
|
| 8,9
Brain
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24 |
Characterization of structural MR data.
Structural-to-functional registration.
Spatial information. Individual variability. Difussion tensor imaging uses for white matter tract tracing. Dave Kennedy Room: E25-119 (MIT) |
Discussion session
Problem set #2 due Lab2 due Robert Banzett and Rick Hoge Room: E25-119 (MIT) |
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31 |
Introduction to the retinotopic structure
of early visual cortex, the construction and use of surface
models of the cortex, automatic segmentation of subcortical structures. Bruce Fischl Room: E25-119 (MIT) |
Lab3 due
Lab 4: Cortical and subcortical parcellation. David Kennedy Cortical surface based registration and flattening. Bruce Fischl Room: 14-0637 (Computer lab, MIT) |
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| 10,11
Imaging
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7 |
Experimental design. Block, spaced
single trial, rapid single trial, periodic, other mixed modes.
Lila Davachi and Anthony Wagner Room: E25-119 (MIT) |
Discussion session
Lila Davachi and Robert Savoy Room: 14-0637 (Computer lab, MIT) |
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14 |
Exam
Room: E25-119 (MIT) |
Discussion session
Jorge Jovicich Room: 14-0637 (Computer lab, MIT) |
|
| 12,13,14,15
Statistics
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21 |
Paradigm for statistical inference.
Emery
Brown
Handout problem set #3 Room: E25-119 (MIT) |
FREE -HAPPY THANKSGIVING |
|
28 |
Building statistical models for fMRI
data. Emery Brown
Room: E25-119 (MIT) |
Discussion / Lab
Chris Long Room: 14-0637 (Computer lab, MIT) |
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5 |
Application of statistical models for
fMRI data. Statistical considerations in
experimental design. Anders Dale Room: E25-119 (MIT) |
Discussion
Problem set #3 (due) Doug Greve Room: 14-0637 (Computer lab, MIT) |
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12 |
MEG-fMRI statistical analysis modeling:
optimizing spatio-temporal resolution.
Anders Dale Room: E25-119 (MIT) |
Discussion / Lab
Russ Poldrack Room: 14-0637 (Computer lab, MIT) |
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| 16 |
19 |
Final exam
Room: E25-119 (MIT) |
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