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