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
Title
Inferring task-related higher-order interactions from brain network signals
Leaders
Collaborators
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
Papers
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
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 :
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.
Hi @brainhackorg/project-monitors my project is ready!