🔗📕 Paper: Extracting interpretable signatures of whole-brain dynamics through systematic comparison
tl;dr For a ~10-minute overview on this topic and project, you might want to check out the recording from my presentation at the Organization for Human Brain Mapping (OHBM) 2024 meeting in Seoul, South Korea, either on YouTube here or below.
VIDEO
Systematically comparing different ways of quantifying dynamical patterns from resting-state fMRI time series Figure 1 from Bryant et al. (2024): Extracting interpretable signatures of whole-brain dynamics through systematic comparison . Analysis Aregion : Characterizing localized changes to intra-regional dynamics across disorders Figure 2 from Bryant et al. (2024): Extracting interpretable signatures of whole-brain dynamics through systematic comparison . Analysis Afeature : Assessing changes in brain-wide maps of individual dynamical properties across disorders Analysis Auni_combo : Combining multiple brain regions and temporal properties to represent whole-brain fMRI dynamics across disorders Analysis AFC : Comparing features of inter-regional functional connectivity across disorders Figure 3 from Bryant et al. (2024): Extracting interpretable signatures of whole-brain dynamics through systematic comparison . Analysis AFC_combo : Integrating local regional dynamics with pairwise coupling into one classification model across disorders Figure 4 from Bryant et al. (2024): Extracting interpretable signatures of whole-brain dynamics through systematic comparison . Identifying which representation type(s) are optimally suited to capture case–control differences in each disorder Figure 5 from Bryant et al. (2024): Extracting interpretable signatures of whole-brain dynamics through systematic comparison .