Physiopy open meeting: Best practices in using physiological data to denoise functional timeseries

The physiopy contributors:

Daniel Alcalá, Apoorva Ayyagari, Katie Bottenhorn, Molly Bright, César Caballero-Gaudes, Inés Chavarría,
Niall Duncan, Elizabeth DuPre, Ines Esteves, Vicente Ferrer, Sarah Goodale, Soichi Hayashi, Vittorio Iacovella,
Tomas Lenc, François Lespinasse, Ryan Lim, Ross Markello, Stefano Moia, Robert Oostenveld,
David Romero-Bascones, Taylor Salo, Rachael Stickland, Eneko Uruñuela, Merel van der Thiel, Hao-Ting Wang, Kristina Zvolanek, & Marcel Zwiers.

Why physiopy

MRI-related physiology is still a niche → we need more researchers and clinicians to become interested in the topic.

*Open Source Software Development is the idea of developing a software publicly, sharing it from the beginning of the development, fostering a democratic community of contributors in support of the project, using version control and software testing.

One aim of physiopy is to ease this process using a Community driven, BIDS-based, Open Development* approach.

Sharing physiological data, toolboxes, and documentation following the concepts of Open Science could improve the exposition to this topic.

physiopy's community

Process description

Raw data

BIDSification

physiological data preprocessing

phys. denoising

phys. imaging

Data acquisition

physiopy aims to improve the exposition to physiological data by sharing data, toolboxes, and documentation following the concepts of Open Science, easing this process using a Community driven, BIDS-based, Open Development* approach.