Skip to content

mbkranz/Schedule

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

80 Commits
 
 
 
 

Repository files navigation

When and where we meet: Monday and Wednesday 2:30-3:45pm , Rm 109 Stuit Hall

Week Date Topic Readings/Videos Labs
Unit 1: Introduction to MRI/fMRI methodology
1 01/17/18 Introduction to the class: why use MRI and fMRI in cognitive neuroscience?
Lecture slides
Aguirre 2014
Start working on installing your virtual machine
Lab 00
2 01/22/18 MRI Physics
Lecture slides
Noll Primer on MRI/fMRI
Video

01/24/18 fMRI BOLD contrast
Lecture slides
Logothetis 2001

Unit 2: Preprocessing
3 01/29/18 Technical landscape of MRI processing
Lecture slides
Handbook Ch 1
COBIDAS report: best practices
01/31/18 What are images Handbook Ch 2
Software Intro
Lab 01
4 02/05/18 Preprocesing overview
Lecture slides
Handbook Ch 3

02/07/18 Image processing basics
Image processing basics
Lab 02
5 02/12/18 Structural image quality
Lecture slides
mriqc
Esteban et al. 2017
02/14/18 Practice with spatial registration
Handbook Ch 4
Lab 03
6 02/19/18 Registration wrap-up
Lecture slides
Spatial Transforms primer
Registration primer
Registration case studies primer

02/21/18 Registration of functional image and mapping masks between image spaces

Lab 04
7 02/26/18 fMRI preprocessing: Motion correction and slice-timing
Lecture slides
Handbook, p41-49

02/28/18 fMRI preprocessing: Detecting motion, motion correction, and slice-timing
mriqc

fsl motion outliers
Lab 05
8 03/05/18 fMRI preprocessing: ICA-denoising & temporal filtering
Lecture slides
Pruim et al, 2015

03/07/18 ICA-denoising & temporal filtering
Lecture slides
ICA-AROMA manual

Lab 06
Spring Break
Unit 3: Statistical analyses
9 03/19/18 Statistical analysis: single subject task analysis
Lecture slides
Handbook Ch 5
Video: matrix algebra primer
Video: multiple regression with matrices

03/21/18 Building a single subject task model
Videos: first level models review
Video: contrasts in linear models
Mumford et al., 2015
Lab 07
10 03/26/18 Task design considerations
Lecture slides
Amaro & Barker 2006

03/28/18 Building a task to run in the scanner
Videos on estimating efficient designs
optseq
Lab 08
11 04/02/18 Group analyses
Lecture slides
Handbook Ch 6
Handbook Appendix A GLM review
Videos: Mixed models for imaging

04/04/18 Building a between-subjects statistical model
Example GLM designs
Video: mean centering regressors
Lab 09
12 04/09/18 Statistical inference on images
Lecture slides
Handbook Ch 7
Eklund et al., 2016
Videos on thresholding methods

04/11/18 Task analysis: putting it all together Sarter, Bernston, Cacioppo, 1996
Kriegeskorte et al., 2009
Lab 10
13 04/16/18 Introduction to diffusion imaging
Lecture slides
Jones 2008
Jones et al., 2013
TBSS primer

04/18/18 Introduction to diffusion data
Blog and supplementary video
Lab 11
14 04/23/18 Resting state functional connectivity
Lecture slides
Van Dijk et al., 2010
Murphy & Fox, 2017

04/25/18 Resting state functional connectivity

Lab 12
Unit 4: Reporting your results
15 04/30/18 Final project working session
Handbook Ch 10
COBIDAS report

05/02/18 Final project working session

16 05/07/18 Final project notebooks due

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published