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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 fMRI images: motion, motion correction, slice timing
Lecture slides
Handbook, p41-49

02/21/18 fMRI preprocessing: motion correction, slice timing, and registration of functional image
mriqc
Lab 04
7 02/26/18 fMRI preprocessing: ICA-denoising & temporal filtering
Lecture slides
Pruim et al, 2015

02/28/18 fMRI preprocessing: ICA-denoising & temporal filtering
Lecture slides
ICA-AROMA manual
Lab 05
8 03/05/18 Putting it all together for different designs
Lecture slides
Reading 1
Reading 2

03/07/18 Putting it all together with batch scripting and documenting your steps
Lecture slides
Reading 1
Reading 2
Batch processing and workflow tips
Lab 06
Spring Break
Unit 3: Statistical analyses
9 03/19/18 Statistical analysis: single subject task analysis
Lecture slides
Reading 1
Reading 2

03/21/18 Building a single subject task model
Lecture slides
Reading 1
Reading 2
Lab 07
10 03/26/18 Experimental design considerations for fMRI & project ideas discussion
Lecture slides
Reading 1
Reading 2

03/28/18 Building a task to run in the scanner
Lecture slides
Reading 1
Reading 2
Lab 08
11 04/02/18 Group analyses
Lecture slides
Reading 1
Reading 2

04/04/18 Building a between-subjects statistical model
Lecture slides
Reading 1
Reading 2
Lab 09
12 04/09/18 Statistical inference on images
Lecture slides
Reading 1
Reading 2

04/11/18 Task analysis: putting it all together
Lecture slides
Reading 1
Reading 2
Lab 10
13 04/16/18 Introduction to Nipype and workflows, by James Kent
Lecture slides
Reading 1
Reading 2

04/18/18 Building a simple workflow in nipype
Lecture slides
Reading 1
Reading 2
Lab 11
14 04/23/18 Resting state functional connectivity
Lecture slides
Reading 1
Reading 2

04/25/18 Resting state functional connectivity
Lecture slides
Reading 1
Reading 2
Lab 12
Unit 4: Reporting your results
15 04/30/18 Reporting your methods and results & final project working session
Lecture slides
Reading 1
Reading 2

05/02/18 Final project presentations

16 05/07/18 Final project presentations

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