acquafredda
commented
15 hours ago Hi @brainhacklucca my project is ready!
Open acquafredda opened 15 hours ago
acquafredda
commented
15 hours ago Hi @brainhacklucca my project is ready!
Title
The Influence of Arousal on Brain Connectivity: A Multimodal Study Proposal
Leaders
Santa Sozzi; Miriam Acquafredda; Giacomo Mazzotta
Collaborators
No response
Brainhack Global 2024 Event
Brainhack Lucca
Project Description
Arousal, defined as the behavioral state of alertness, is a potential driver of variability in brain activity and functional connectivity, particularly within networks such as the Default Mode Network and the Salience Network. In this project, we aim to investigate the effects of arousal on brain connectivity using a recently published open-access dataset that integrates pre-processed pupillometry, fMRI, and EEG data, enabling a comprehensive multimodal analysis. By combining pupillometry (as a proxy to identify high and low arousal levels), EEG (offering high temporal resolution of brain activity), and fMRI (providing high spatial resolution of functional activity), we can investigate the relationships between arousal states and both functional and effective connectivity across key brain regions.
Link to project repository/sources
No response
Goals for Brainhack Global
1) Identify arousal-related brain regions through the analysis of the relationships between pupil dynamics and fMRI signals at both voxel and region levels (e.g., via correlation or regression analyses on resting-state data). 2)Compare functional and effective connectivity within arousal-related networks across high and low arousal states, using indices derived from both fMRI and EEG resting-state connectivity. As a secondary objective, we aim to replicate these analyses on a visual task dataset to compare the impact of arousal under resting-state and task-based conditions.
Good first issues
Communication channels
https://unipiit-my.sharepoint.com/:f:/g/personal/a039304_unipi_it/EvwG1IcvR0VJh68Pu0TrQHwBWgN3foW2pASKWQ2WzGa_Ig?e=8eEXQI
Skills
MATLAB programming (basic) Python programming (basic) Basic fMRI/EEG/pupillometry analysis knowledge
Onboarding documentation
No response
What will participants learn?
No response
Data to use
The dataset we plan to use is presented in this paper: Telesford, Q.K., Gonzalez-Moreira, E., Xu, T. et al. An open-access dataset of naturalistic viewing using simultaneous EEG-fMRI. Sci Data 10, 554 (2023). https://doi.org/10.1038/s41597-023-02458-8 Here is the github link to the shared codes: https://github.com/NathanKlineInstitute/NATVIEW_EEGFMRI/tree/main Pre-processed data can be downloaded here: https://fcon_1000.projects.nitrc.org/indi/retro/NAT_VIEW/nat_view_links.html
Number of collaborators
3-5
Credit to collaborators
No response
Image
Type
coding_methods, pipeline_development
Development status
0_concept_no_content
Topic
connectome
Tools
AFNI, ANTs, Freesurfer, FSL, SPM
Programming language
Matlab, Python
Modalities
EEG, eye_tracking, fMRI
Git skills
0_no_git_skills
Anything else?
No response
Things to do after the project is submitted and ready to review.
Hi @brainhacklucca my project is ready!