2017 fMRI Training

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Introduction

8/7/2017

Introductory Comments and Lecture Schedule
Presentation by John Jonides, PhD
University of Michigan

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Neuroanatomy Data - Pt 1

8/7/2017

Lecture by John Jonides, Ph.D.
University of Michigan

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Neuroanatomy: Very Basic Gross Human Anatomy & Elements of Experimental Design for fMRI

8/7/2017

Lecture by John Jonides, Ph.D
University of Michigan

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MRI Physics I:Spins, Excitation, Relaxation & MRI Physics II: Gradients, Imaging

8/8/2017

Lecture by Douglas C. Noll, Ph.D.
University of Michigan

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MRI Physics I & II: Recap & MRI Physics III: Hardware & The BOLD Response

8/9/2017

Lecture by Douglas C. Noll, Ph.D.
University of Michigan

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Non-BOLD Methods: Arterial Spin Labeling - Pt 1

8/10/2017

Lecture by Luis Hernandez-Garcia, Ph.D.
University of Michigan

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Non-BOLD Methods: Arterial Spin Labeling - Pt 2 & Diffusion (Tensor) Imaging

8/11/2017

ASL Lecture by Luis Hernandez-Garcia, Ph.D., University of Michigan

Diffusion (Tensor) Imaging lecture by Robert C. Welsh, University of Utah

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Introduction to Stats

8/13/2017

Lecture by Jeanette Mumford, Ph.D.
University of Wisconsin-Madison

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Level 1 Modeling of fMRI data

8/14/2017

Lecture by Jeanette Mumford, PhD.
University of Wisconsin-Madison

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Experimental Design, Contrasts, & Group Analysis

8/15/2017

Lecture by Jeanette Mumford, PhD
University of Wisconsin-Madison

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Multivoxel Pattern-based Real-Time fMRI

8/15/2017

Lecture by Stephen LaConte, PhD
Virginia Tech Carillon Research Institute

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Cluster Failure, Group Analysis, Power Analysis, Circular Analyses, Reproducibility,

8/16/2017

Lectures presented by Jeanette Mumford, PhD
University of Wisconsin-Madison

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PPI, Connectivity, & Causality

8/17/2017

Lectures by Jeanette Mumford, Scott Peltier, & Luis Hernandez-Garcia

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Q & A with all Instructors

8/18/2017

Please contact us if you have any problems, suggestions, or feedback.