{
  "input": "/DATA/wangxr_data/Flanker/analysis/04_QC/network_partition/metrics/partition_metrics_long.tsv",
  "model": "metric ~ state + meanFD + (1 | subject); one common linear meanFD slope; pipelines analyzed separately",
  "reference_state": "restpre",
  "states": [
    "restpre",
    "task",
    "restpost"
  ],
  "pipelines": [
    "withWM",
    "regressWM"
  ],
  "metrics": [
    "within_fc_z",
    "between_fc_z",
    "system_segregation",
    "segregation_z",
    "segregation_relation_z"
  ],
  "primary_metrics": [
    "within_fc_z",
    "between_fc_z",
    "system_segregation"
  ],
  "secondary_metrics": [
    "segregation_z",
    "segregation_relation_z"
  ],
  "optimizer_order": [
    "cg",
    "powell"
  ],
  "fit_warning_policy": "Boundary warnings are retained when the model converges and fixed-effect covariance is finite, full rank, symmetric, and positive definite; method and warnings are written to each result row.",
  "omnibus_fdr_scope": "7 Yeo7 networks within each metric and pipeline",
  "pairwise_fdr_scope": "21 network-by-state-pair tests within each metric and pipeline",
  "covariance": "random-intercept linear mixed model fitted by maximum likelihood; Wald chi-square and normal-reference pairwise tests",
  "demographic_covariates": [],
  "subject_effect": "random intercept for repeated measures",
  "outputs": [
    "/DATA/wangxr_data/Flanker/analysis/04_QC/network_partition/statistics/network_partition_omnibus.tsv",
    "/DATA/wangxr_data/Flanker/analysis/04_QC/network_partition/statistics/network_partition_pairwise.tsv"
  ],
  "task_run_input": "/DATA/wangxr_data/Flanker/analysis/04_QC/network_partition/metrics/task_run_metrics_long.tsv",
  "task_run_model": "metric ~ categorical(run_id) + run-specific meanFD + (1 | subject); one common linear meanFD slope; pipelines analyzed separately",
  "task_run_reference": "run-01",
  "task_run_omnibus_fdr_scope": "7 Yeo7 networks within each metric and pipeline",
  "task_run_pairwise_fdr_scope": "42 network-by-run-pair tests within each metric and pipeline; interpret contrasts only when the network's omnibus run effect has FDR q < 0.05",
  "task_run_outputs": [
    "/DATA/wangxr_data/Flanker/analysis/04_QC/network_partition/statistics/network_partition_task_run_omnibus.tsv",
    "/DATA/wangxr_data/Flanker/analysis/04_QC/network_partition/statistics/network_partition_task_run_pairwise.tsv"
  ]
}