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Overview |
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1 |
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Introduction to Course Introduction to Functional Magnetic Resonance Imaging |
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Safety and Human Subjects Issues, pt. 1 Notes on Human Subjects |
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Functional Neural Systems |
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2 |
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Overview of Neural Systems Neural Signal Processing |
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Introduction to Lab, Viewing MR Images, and MATLAB® |
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Hand out Problem Set #1 |
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3 |
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Visual System Somatosensory and Motor Systems |
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How the Brain Processes Visual Information, Insights & Controversies from Neuroimaging Studies (Kanwisher & Haxby papers) |
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4 |
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Memory Systems Attention, Motivation, Emotion |
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LAB 1: Introduction to fMRI Data Acquisition, Part 1- Acquisition |
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Imaging Physiology |
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5 |
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Overview of Imaging Physiology
Applied Respiratory and Cardiovascular Physiology I |
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Coupling Between Neural Activity and CBF Changes (Iadecola & Mintun papers) |
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Problem Set #1 Due |
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6 |
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Applied Respiratory and Cardiovascular Physiology II |
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Impact of Physiological Noise on Analysis and Interpretation of fMRI Data |
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Hand out Problem Set #2 |
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7 |
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Cerebrovascular Anatomy and Neural Regulation of CNS Blood Flow |
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LAB 1: Introduction to fMRI Data Acquisition, Part 2- Analysis |
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8 |
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Neurovascular Coupling Global vs Regionally Specific Changes in CBF and Metabolism |
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Localization in fMRI Data Sets - Comparison with Other Types of Neuroscience Data (Veltman & Disbrow papers) |
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Physics of Image Acquisition |
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9 |
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Overview of Structural and functional MRI Signal Acquisition |
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LAB 2: Biophysical Basis of fMRI Signals, Part 1- Acquisition |
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Hand out Problem Set #3 Lab Report #1 Due |
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10 |
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The NMR Signal: Magnetization, Excitation, Detection, NMR Signal, SNR Monitoring the NMR Signal: NMR Measurements, T2*, T2, Gradients, Gradient-echo, Spin-echo |
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MR Signal Detection, Phased Array Receiver Coils |
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Problem Set #2 Due |
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11 |
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MRI: Spatially Encoding the NMR Signal Frequency, Slice and Phase Encoding, Spin Warp Basics of Fast MRI K-space, Fast Imaging, Distortions |
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Parallel Image Acquisition Strategies |
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12 |
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Review: Spatial Encoding, K-space MonRI Contrasts: T1,T2,T2*, Diffusion |
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LAB 2: Biophysical Basis of fMRI Signals, Part 2- Analysis |
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13 |
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BOLD Contrast (part 1) Hemodynamic Response, Temporal, Spatial Resolution Improving fMRI Signal Detection Using Physiological Data |
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Temporal and Spatial Resolution (e.g. New Logothetis Articles in Neuron and Nature) |
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14 |
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BOLD Contrast (part 2) Physiological Noise, Field Strength Alternatives to BOLD Review of BOLD, Perfusion vs BOLD, Arterial Spin Labelling, Cerebral Blood Volume |
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LAB 3: Clustered Volume Acquisition (CVA) & Cardiac Gating Techniques for Detection of Auditory Activation and Brainstem Signals Lab |
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Lab Report #2 Due |
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15 |
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Physics of Diffusion Weighted Imaging Physics and Clinical Applications of Perfusion Weighted Imaging |
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ASL (Wong Paper) |
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Problem Set #3 Due |
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16 |
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Quantitative fMRI CBV, CBF & ASL |
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LAB 4: Diffusion Gradients Lab |
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Lab Report #3 Due |
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17 |
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Mid-term Exam |
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Safety and Human Subjects Issues, pt. 2. Ethics Module |
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Experiment Design |
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18 |
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General Principles of Experimental Design, pt. 1 |
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Paradigm Design (Manoach and Stark) |
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Hand out Problem Set #4 Lab Report #4 Due |
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19 |
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General Principles of Experimental Design, pt. 2 Psychological State Variables in Imaging |
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LAB 5: Statistical Analysis of fMRI Data |
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Statistical Analysis |
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20 |
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Overview of fMRI Statistical Analysis Introduction to Univariate Analysis of fMRI Data - Part 1 Probability Notes
Statistics Notes |
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Review of Principles of Statistical Inference |
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Problem Set #4 Due |
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21 |
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Introduction to Univariate Analysis of fMRI Data - Part 2 |
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LAB 5: Statistical Analysis of fMRI Data |
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Hand out Problem Set #5 |
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22 |
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Multivariate Statistical Approaches to fMRI Data Analysis Group Analysis of fMRI Data |
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Lab Report #5 Due |
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23 |
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Building New Statistical Models for fMRI Data |
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LAB 6: Morphometric Segmentation |
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24 |
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Statistical Efficiency in fMRI Paradigm Design |
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Statistics Q'&'A |
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Problem Set #5 Due |
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Structural Analysis |
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25 |
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Surface Based Anatomical Analysis |
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LAB 7: Course Review (REQUIRED) |
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Lab Report #6 Due |
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26 |
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Spatial Normalization for Anatomic Analysis Clinical and Basic Neuroscience Applications of Diffusion Tensor Imaging |
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What is Baseline (discussion of Squire paper) |
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27 |
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Final Exam |
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