nwharbert8-ui/brain-connectivity-wj: v1.0.0: NeuroImage submission

WJ Brain Connectivity Analysis — Initial Release

Complete analysis pipeline for quantifying functional connectivity reorganization during propofol-induced unconsciousness using Weighted Jaccard similarity analysis.

Included

• Main pipeline (brain_connectivity_wj_pipeline.py) — reproduces all primary results
• Subject-level network analysis (compute_subject_network_wj.py)
• Manuscript supplement generation
• Submission figure/table generation
• Full robustness battery (split-half, jackknife, Pearson sensitivity, length matching, threshold sensitivity, network permutation)

Dataset

OpenNeuro ds006623 (Michigan Human Anesthesia fMRI Dataset-1) Huang et al. (2025). Scientific Data 12, 185.

Key Results

• Mean subject-level WJ = 0.499 (awake vs. unconscious), all 24 subjects significant
• Recovery fraction = 3.8% during early behavioral recovery
• All 8 canonical networks show significant similarity reduction (p < 0.001, FDR)
• Only default mode network shows significant early recovery