Title

Inferring task-related higher-order interactions from brain network signals

Leaders

• Etienne Combrisson (Twitter : @kNearNeighbors)
• Andrea Brovelli (Twitter : @BrovelliAndrea)

Collaborators

• Daniele Marinazzo (Twitter : @dan_marinazzo)
• Matteo Neri

Brainhack Global 2022 Event

Brainhack Marseille

Project Description

A central hypothesis in neuroscience posits that cognitive functions emerge from complex interactions between multiple brain regions. Similarly, cognitive deficits due to trauma or neurological conditions, such as after stroke, crucially depend on network-level alterations that disrupt normal interactions among multiple brain areas. Although central, progress towards testing these hypotheses has been limited by the lack of approaches for studying interactions between multiple brain regions beyond pairwise relations, the so-called higher-order interactions (HOIs). The aim of our project is to build a novel approach based on recent advances in information theory (the O-information metric) to infer task- or condition-specific HOIs (functional HOIs) from brain signals. We will explore the possibility to combine O-information estimates with permutation-based statistics implemented in Frites

Link to project repository/sources

Toolboxes

• HOI toolbox 2021
• Frites

Papers

• Rosas et al. 2019
• Stramaglia et al. 2021

Goals for Brainhack Global

The main goal of this BrainHack is to have a working first version of the task-related HOI

Good first issues

1. Prototype the main function (i.e. define input and output types, write down important internal steps)
2. Make it works in the non-dynamic case
3. Investigate the use of Jax to speed up computations
4. Be able to simulate data with a known amount of redundancy and synergy

Communication channels

[TO BE ADDED]

Skills

Computational : 70% Information-theory : 60% Math : 50% Python : 70%

Onboarding documentation

No response

What will participants learn?

They will learn about :

• Information-theoretic terminology (redundancy, synergy, mutual information, entropy)
• Conceptual differences between pairwise and higher-order interactions
• Non-parametric statistics

Data to use

No response

Number of collaborators

4

Credit to collaborators

Collaborators will be added to our Frites' Hall of Fame

Image

Type

method_development

Development status

1_basic structure

Topic

information_theory

Tools

other

Programming language

Python

Modalities

behavioral, ECOG, EEG, MEG

Git skills

0_no_git_skills, 1_commit_push

Anything else?

No response

Things to do after the project is submitted and ready to review.

• Add a comment below the main post of your issue saying: Hi @brainhackorg/project-monitors my project is ready!
• Twitter-sized summary of your project pitch.