Mentor: Daniele Marinazzo <daniele.marinazzo@gmail.com>
Skill level: Intermediate to Advanced
Required skills: Python, Docker; familiarity with neuroimaging tools (AFNI, FSL, FreeSurfer) would be beneficial
Time commitment: Full time (350 hours)
About: Statistical dependencies (Functional Connectivity, FC) between BOLD time series from different brain regions in fMRI experiments are modulated by the relative delays in blood arrival time in these regions. This crucial aspect has been mostly overlooked in empirical studies, and completely overlooked in computational models of large scale BOLD activity, where (neuronal transmission) delays play a crucial role, such as The Virtual Brain. Delays in blood arrival time can be estimated using a tool called Rapidtide, which allows also to estimate and regress systemic low frequency oscillations (sLFOs).
Aims: This project will have the aim to include blood arrival time delays in computational models of brain activity with TVB in EBRAINS, and to compare the results with those obtained with the legacy approach with no blood arrival time delays.
Websites: Rapidtide — rapidtide 3.1.8 documentation, The Virtual Brain | EBRAINS
Tech keywords: Python, Docker, The Virtual Brain, rapidtide, sLFOs