Home › Neuroscience › Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
Neuroscience JoVE (Open Access) Citable · DOI

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

DOI: 10.3791/59083-v
What you'll learn
  • ✓ Apply sliding-window inter-subject functional correlation to identify dynamic brain network reconfigurations during fMRI paradigms
  • ✓ Interpret temporal and spatial patterns of functional connectivity changes aligned to stimulus presentation
  • ✓ Preprocess and analyze time-locked fMRI data for moment-to-moment neural synchronization
Protocol

The goal of the described approach is to determine at what moments of the paradigm (temporal perspective), and between which regions (spatial perspective), significant reconfigurations in functional connectivity occur on functional magnetic resonance imaging recordings during which a time-locked stimulus is played.

Difficulty
advanced
Total time
~1–2 hours per subject (fMRI acquisition + preprocessing); analysis scales with dataset size

Steps

1
Preprocess imaging and method-specific fMRI data

Prepare fMRI recordings through standard preprocessing steps including motion correction, registration, and artifact removal to ensure data quality for inter-subject functional correlation analysis.

▶ 01:18
2
Compute sliding-window inter-subject functional correlation

Apply sliding-window ISFC methodology to generate time-resolved functional connectivity matrices across subjects, identifying moment-to-moment brain network reconfigurations during stimulus presentation.

▶ 03:50
3
Analyze representative ISFC time course results

Interpret temporal dynamics and spatial localization of significant functional connectivity changes, relating network reconfigurations to specific moments within the experimental paradigm.

▶ 06:26
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