Version history

{
  "scope": "human, resting-state fMRI (HCP-1200)",
  "claim_text": "In healthy humans, global efficiency of cognitive cerebello-basal ganglia network correlates positively with default mode, motor, and auditory cortical networks, while motor CB-BG efficiency correlates with all but default mode and emotional networks.",
  "raw_fields": {
    "n": 233,
    "doi": "10.1007/s12311-022-01418-z",
    "claim": "In healthy humans, global efficiency of cognitive cerebello-basal ganglia network correlates positively with default mode, motor, and auditory cortical networks, while motor CB-BG efficiency correlates with all but default mode and emotional networks.",
    "cite_key": "Jackson2022",
    "evidence": "Resting-state fMRI in 233 HCP participants showed integration of cognitive vs motor cerebello-basal ganglia subnetworks correlates with global efficiency in distinct cortical resting-state networks.",
    "effect_size": "N=233 healthy adults; 122 ROIs",
    "text_access": "abstract_only",
    "study_system": "human, resting-state fMRI (HCP-1200)",
    "source_cluster_id": "cluster_06",
    "replication_status": "replication_unknown",
    "claim_source_sentence": "CCBN GE positively correlated with GE in the default mode, motor, and auditory networks and MCBN GE positively correlated with GE in all networks, except the default mode and emotional.",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Here, 122 regions of interest comprising cognitive and motor CB-BG networks and 7 canonical cortical resting-state were used to investigate whether the integration (quantified using global efficiency, GE) of cognitive CB-BG network (CCBN) nodes and their segregation from motor CB-BG network (MCBN) nodes is related to cortical network GE and segregation in 233 non-related, right-handed participants (Human Connectome Project-1200)."
  },
  "section_id": "section_07",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_07_evidence_package.json",
  "effect_size": "N=233 healthy adults; 122 ROIs",
  "review_repo": "ComputationalReviewLoops",
  "section_ref": "wiki_page:computationalreviewloops-07",
  "source_kind": "review_finding",
  "source_path": "evidence/section_07_evidence_package.json",
  "source_refs": [
    "paper:paper-b1583acfda60"
  ],
  "source_span": "CCBN GE positively correlated with GE in the default mode, motor, and auditory networks and MCBN GE positively correlated with GE in all networks, except the default mode and emotional.",
  "study_system": "human, resting-state fMRI (HCP-1200)",
  "evidence_refs": [
    {
      "ref": "paper:paper-b1583acfda60"
    }
  ],
  "section_title": "Parallel Loop Channels: Motor, Limbic, Associative, and Beyond the Classic Three",
  "source_policy": {
    "mode": "public_source_pointer_with_short_context",
    "notes": [
      "Local review repositories are read-only inputs.",
      "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
    ],
    "source_commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
  },
  "evidence_summary": "Resting-state fMRI in 233 HCP participants showed integration of cognitive vs motor cerebello-basal ganglia subnetworks correlates with global efficiency in distinct cortical resting-state networks.",
  "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
  "replication_status": "replication_unknown",
  "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
  "source_artifact_ref": "wiki_page:computationalreviewloops-07",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_07_evidence_package.json",
  "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}