NeuroCausal

Project title:

NeuroCausal: a FAIRer neuropsychology

Project leader:

Valentina Borghesani

Email:

valentinaborghesani@gmail.com

Collaborators:

Isil Poyraz Bilgin, Sladjana Lukic, Pedro Pinheiro-Chagas

Brainhack Global 2022 Event:

BrainHack Donostia

Topic:

Causality, Data visualization, Machine learning, Reproducible scientific methods, Neuropsychology, Natural Language Processing (NLP)

What is the purpose of the project:

We are working with clinicians, neuroimagers, and software developers to develop an open source platform for the storage, sharing, synthesis and meta-analysis of human clinical data to the service of the clinical and cognitive neuroscience community so that the future of neuropsychology can be transdiagnostic, open, and FAIR.Following the steps of what enable a similar transition in functional neuroimaging, we are breaking down our over-ambitious goal in two stages: (1) create a meta-analytical platform covering lesion-related data hence allowing causal inferences; (2) a data-sharing platform tailored to clinical needs.

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

Find out more on our website: https://neurocausal.github.io/

What stage is the project on:

2

Required programming skills for the project:

Tasks for all levels

Background knowledge needed on the topic:

Basic

Data to use:

Link to project repository:

https://github.com/neurocausal

Goals for Brainhack Donostia 2022:

We are hoping to: (1) make progress in adapting the code base of Neuroquery (https://neuroquery.org/) to our question; (2) improve the data source (and possibly structure) of CogAtlas (https://www.cognitiveatlas.org/); (3) make steps forward on the data sharing side. Specific issues will be open on github.

What will participants learn:

Thanks to the extremely interdisciplinary nature of the project, it can be the ideal occasion to get your feet wet with natural language processing (e.g., extract key info from texts), or neuropsychology (e.g., established link between task performance and disorders), or data sharing issues (both ethical and practical). Or all of the above!

Number of collaborators:

3

Credit to collaborators:

Any contributor will be listed on our github page and website. This is an ongoing, long term project: we meet weekly and communicate via mattermost. Any contributor would be invitate to become part of this core group of volunteers.

Type of project:

Data management, Documentation, Pipeline development, Visualization

Programming languages:

Python

Necessary git skills level for the project:

Basic (commit & push)

Modality:

Behavioral, MRI

Software suites: