Outline¶
The overview already specified it, but just to be sure: the workshop will be split into two distinct parts. While the first half (and few hours) will consist of going through basics in data handling and nipype, the second half
will entail examples of dedicated advanced and specialized analyses within which folks will also evaluate the discussed topics. As mentioned before, these resources will contain all materials utilized in the workshop. In general, we will aim for 4 h per session. Our very optimistic schedule looks as follows (all times in IST):
Session 1 - 24/10/2021¶
Time slot |
Topic |
|---|---|
10 AM - 11 AM |
Explore MRI data with Nibabel and Nilearn |
11 AM - 11:30 AM |
Introduction to Nipype |
11:30 AM - 12:30 PM |
Exploration of Nipype’s building blocks |
12:30 PM - 1:30 PM |
Creating a Nipype Pipeline from A-Z |
1:30 PM - 2 PM |
Complex processing pipelines based on Nipype |
Session 2 - 31/10/2021¶
Time slot |
Topic |
|---|---|
10 AM - 11 AM |
PyBIDS and statistical analysis of fMRI data |
11 AM - 12 PM |
Functional connectivity |
12 PM - 1 PM |
Machine learning - fMRI |
1 PM - 1:30 PM |
Machine learning - using fMRI to predict demographics |
1:30 PM - 2 PM |
The python-neuroimaging ecosystem |