Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Collaborative AFNI projects at DC code convergence #10

Closed
cmaumet opened this issue Sep 14, 2018 · 0 comments
Closed

Collaborative AFNI projects at DC code convergence #10

cmaumet opened this issue Sep 14, 2018 · 0 comments

Comments

@cmaumet
Copy link
Owner

cmaumet commented Sep 14, 2018

Last week (Sept 10-14), I attended Code convergence in Washington DC, a 5-day hackathon organized by the NIH in collaboration with the AFNI team. Twenty brain imaging researchers and members of the NIH worked collaboratively on improving AFNI and building bridges with other tools.

Tweet: Excited to get started at #nihdccc with @AFNIman

— Elizabeth DuPre (@emdupre_) 10 septembre 2018

We had a very productive week! The projects included: an automated testing framework for AFNI | creating machine-readable documentation and interfaces for AFNI through Boutiques | improving support for multi-echo EPI denoising with tedana | NIDM in JSON-LD | and three BIDS projects: understanding modelling of affine matrices in AFNI | refining BIDS model specification in anticipation of AFNI integration | drafting BIDS common transform file format.

I led the NIDM export in AFNI project, to convert AFNI fMRI results into NIDM-compliant archives (or "NIDM packs"). NIDM-Results standardises how fMRI results are represented across neuroimaging software packages. With the NIDASH team, we have developed NIDM exporters for SPM and FSL. As one of the most popular software for fMRI analysis, AFNI was a natural next target.

During this code convergence, I had the chance to work with Rick Reynolds and Justin Rajendra and to get feedback from Gang Chen, three AFNI experts. By the end of the week, we had a first prototype to export an example analysis and upload the resulting NIDM archive to NeuroVault. Future work, will include better integration with AFNI tool, such as leveraging the metadata extracted by the ClustExp_StatParse.py routine that is developed by Justin.

This week was also the opportunity to hear about other standardisation efforts such as HAWG, a standardised format for human brain atlases.

Tweet: A JSON-based format for neuroimaging atlases 👉 HAWG. @jbpoline kicks off day 2 at #nihdccc !

— Camille Maumet (@cmaumet) 11 septembre 2018

I would like to thank Dylan Nielson, Adam Thomas, John Lee and Bob Cox for organising this code reunion as well as all the AFNI team!

The event was covered with #nihdccc on twitter.

@cmaumet cmaumet changed the title DC code convergence Collaborative projects with AFNI at the NIH DC code convergence Sep 14, 2018
@cmaumet cmaumet changed the title Collaborative projects with AFNI at the NIH DC code convergence Collaborative projects with AFNI at DC code convergence Sep 14, 2018
@cmaumet cmaumet added the Event label Sep 14, 2018
@cmaumet cmaumet changed the title Collaborative projects with AFNI at DC code convergence Collaborative projects in AFNI at DC code convergence Sep 14, 2018
@cmaumet cmaumet changed the title Collaborative projects in AFNI at DC code convergence Collaborative AFNI projects at DC code convergence Sep 14, 2018
@cmaumet cmaumet closed this as completed Sep 17, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

1 participant