Course Overview and Introduction

Figure 1

T1 Normalization

Figure 2

fMRI Preprocessing Steps

Figure 3

fMRIPrep's Workflow

Figure 4

fMRIPrep Anatomical Outputs

Figure 5

fMRIPrep Functional Outputs

Exploring Preprocessed fMRI Data from fMRIPREP

Introduction to Image Manipulation using Nilearn

Figure 1

Nilearn antomical plotting

Figure 2

Nilearn image math example output

Figure 3

Nilearn image masking output

Figure 4

Episode 03 Exercise 1 inverted mask

Figure 5

3D Array Representation

Figure 6

Animated Slicing of T1

Integrating Functional Data

Figure 1

4D Array Representation

Figure 2

Visual of fMRI EPI Data

Figure 3

Example fMRI Timeseries

Figure 4

Downsampled T1

Figure 5

Episode 04 Exercise Inverted Mask

Figure 6

Episode 04 Exercise Hollow Skull

Figure 7

Episode 04 Exercise Resampled Hollow Skull

Figure 8

Episode 04 Exercise fMRI

Figure 9

Episode 04 Exercise Masked fMRI

Figure 10

Episode 04 Exercise Complete

Cleaning Confounders in your Data with Nilearn

Figure 1

Confounds Matrix

Applying Parcellations to Resting State Data

Figure 1

Yeo Thin 7Yeo Thin 17Yeo Thick 7Yeo Thick 17

Figure 2

Separated Yeo Labels

Figure 3

Episode 06 Exercise Resampled Yeo Labels

Figure 4

Episode 06 Exercise Yeo ROI 44

Figure 5

Episode 06 Exercise Yeo ROI 46

Functional Connectivity Analysis

Figure 1

Connectivity Matrix Heatmap

Figure 2

Absolute Matrix Heatmap Zeros Highlighted