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Registration for the Brainhack Rome 2025 is now open!
The Brainhack Rome 2025 is an official satellite event of the International Global Brainhack 2024 that is organized by the BHG2024 Team . The goal of the hackathon is to bring together researchers with disparate backgrounds to collaborate on open science projects in neuroimaging.
Dates: April 8-11, 2025
Costs: Free admission. Breakfast and lunch will be provided.
Location: Rome, Italy
Participants are encouraged to propose project ideas using this submission link. Examples of previous projects are listed here for the Brainhack Micro2Macro 2021 and here for the CONNECThon 2022.
Please join the Brainhack Mattermost channel for updated information on the developing Hackathon content and to contribute your own ideas.
You can find the code of conduct for this event here.
Projects
TEA: Transfer Entropy Analysis to Measure Effective Connectivity with fMRI Data
Revealing functional communications between brain regions from fMRI data is a challenging investigative task in computational neuroscience, as evidenced by the ingenious and subtle strategies proposed in the field, such as Dynamic Causal Modeling and Granger causality. To overcome their shortcomings, a non-parametric estimation based on the concept of Transfer Entropy, derived from information theory, has been proposed. Here we propose to further develop the related model and potentially implement a toolbox for causal connectivity between brain regions at rest.
More detailsMULTIFUN: Multicontrast multiscale analysis of functional brain networks
Functional magnetic resonance imaging (fMRI) can be used to model higher-level attributes in brain networks and unveil how advanced cognitive processes could arise from hierarchical configurations. However, this model is incomplete, partly because of the lack of robust coarse-graining methods, but also because of intrinsic BOLD (blood oxygenation level dependent) limitations. In this project we will obtain brain networks using three (!!) different functional contrasts, namely BOLD, VASO (related to cerebral blood volume) and ASL (related to cerebral blood flow). What insights can be derived regarding brain functional organization from various contrasts when adopting cutting-edge network theory techniques?
More detailsI Know What You Will Do: Forecasting Motor Behaviour from EEG Time Series
Reliable EEG forecasting is required to predict the occurrence of pathological events (such as epileptic seizures) and to schedule stimulus delivery in an intelligent fashion, with applications to basic and clinical research. However, the multivariate and nonlinear nature of the EEG signal makes accurate forecasting hard to achieve. Deep learning-based solutions might yield significant improvements to the state of the art, as suggested by pioneeering studies published during the last two years. Bulding on these studies, we will try to forecast EEG data acquired during a simple motor task, with potential applications to motor BCIs.
More detailsThe Brainhack Rome 2025 is generously sponsored By:
