MRIQC & fMRIPrep - physiology and task visualization with carpetplot

[amaiacc]

Project title:

MRIQC & fMRIPrep - physiology and task visualization with carpetplot

Project leader:

Oscar Esteban

Email:

[email protected]

Collaborators:

Celine Provins

Brainhack Global 2022 Event:

BrainHack Donostia

Topic:

Data visualization, ICA, MR methodologies, PCA, Physiology

What is the purpose of the project:

Continue improving MRIQC's and fMRIPrep's carpet plot views with more timeseries that inform about physiological recordings and the task paradigm.

Where can participants find key resources to work on this project:

https://nipreps.org

What stage is the project on:

5

Required programming skills for the project:

Good for beginners

Background knowledge needed on the topic:

Medium

Data to use:

Open neuro data

Link to project repository:

https://github.com/nipreps

Goals for Brainhack Donostia 2022:

Deliverable 1: Added visualization of physio recordings; Deliverable 2: Added visualization of tasks; Deliverable 3: Overhaul of the panel to better fit all the new information.

What will participants learn:

1. Python visualization; 2. Data QA & QC

Number of collaborators:

2

Credit to collaborators:

https://www.nipreps.org/community/

Type of project:

Coding methods, Data management, Documentation, Method development, Visualization

Programming languages:

Python

Necessary git skills level for the project:

Basic (commit & push)

Modality:

fMRI

Software suites:

AFNI, ANTs, BIDS, fMRIPrep, FSL, Nipype