2017 fMRI Training
Introduction
8/7/2017
Introductory Comments and Lecture Schedule
Presentation by John Jonides, PhD
University of Michigan
Neuroanatomy Data - Pt 1
8/7/2017
Lecture by John Jonides, Ph.D.
University of Michigan
Neuroanatomy: Very Basic Gross Human Anatomy & Elements of Experimental Design for fMRI
8/7/2017
Lecture by John Jonides, Ph.D
University of Michigan
MRI Physics I:Spins, Excitation, Relaxation & MRI Physics II: Gradients, Imaging
8/8/2017
Lecture by Douglas C. Noll, Ph.D.
University of Michigan
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
Non-BOLD Methods: Arterial Spin Labeling - Pt 1
8/10/2017
Lecture by Luis Hernandez-Garcia, Ph.D.
University of Michigan
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
Introduction to Stats
8/13/2017
Lecture by Jeanette Mumford, Ph.D.
University of Wisconsin-Madison
Level 1 Modeling of fMRI data
8/14/2017
Lecture by Jeanette Mumford, PhD.
University of Wisconsin-Madison
Experimental Design, Contrasts, & Group Analysis
8/15/2017
Lecture by Jeanette Mumford, PhD
University of Wisconsin-Madison
Multivoxel Pattern-based Real-Time fMRI
8/15/2017
Lecture by Stephen LaConte, PhD
Virginia Tech Carillon Research Institute
Cluster Failure, Group Analysis, Power Analysis, Circular Analyses, Reproducibility,
8/16/2017
Lectures presented by Jeanette Mumford, PhD
University of Wisconsin-Madison
PPI, Connectivity, & Causality
8/17/2017
Lectures by Jeanette Mumford, Scott Peltier, & Luis Hernandez-Garcia
Q & A with all Instructors
8/18/2017