Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live 8c7afb35bc2d
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse (whole-brain single-neuron reconstruction)",
      "claim_text": "Single-neuron whole-brain reconstruction of more than 1,000 projection neurons in mouse motor cortex, thalamus, subiculum, and hypothalamus revealed previously unknown projection-neuron subtypes and organizational principles of long-range axonal connectivity.",
      "raw_fields": {
        "n": 1000,
        "doi": "10.1016/j.cell.2019.07.042",
        "claim": "Single-neuron whole-brain reconstruction of more than 1,000 projection neurons in mouse motor cortex, thalamus, subiculum, and hypothalamus revealed previously unknown projection-neuron subtypes and organizational principles of long-range axonal connectivity.",
        "cite_key": "Winnubst2019",
        "evidence": "High-resolution two-photon block-face fluorescence imaging of complete brains followed by skeletonization of full axonal arbors; aggregate axonal length >85 m.",
        "effect_size": ">1000 reconstructed neurons; >85 m total axonal length",
        "text_access": "fulltext",
        "study_system": "mouse (whole-brain single-neuron reconstruction)",
        "source_cluster_id": "cluster_03",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "We reconstructed more than 1,000 neurons in the neocortex, hippocampus, thalamus and hypothalamus.",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "Together, the reconstructed neurons constitute more than 85 meters of axonal length and are available in a searchable online database."
      },
      "section_id": "section_03",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_03_evidence_package.json",
      "effect_size": ">1000 reconstructed neurons; >85 m total axonal length",
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-03",
      "source_kind": "review_finding",
      "source_path": "evidence/section_03_evidence_package.json",
      "source_refs": [
        "paper:041efce6-fc13-4416-8aca-e196f82f3d70"
      ],
      "source_span": "We reconstructed more than 1,000 neurons in the neocortex, hippocampus, thalamus and hypothalamus.",
      "study_system": "mouse (whole-brain single-neuron reconstruction)",
      "evidence_refs": [
        {
          "ref": "paper:041efce6-fc13-4416-8aca-e196f82f3d70"
        }
      ],
      "section_title": "The Cortico-Striatal Interface: Topography, Cell Types, and Input Convergence",
      "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": "High-resolution two-photon block-face fluorescence imaging of complete brains followed by skeletonization of full axonal arbors; aggregate axonal length >85 m.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "replication_unknown",
      "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
      "source_artifact_ref": "wiki_page:computationalreviewloops-03",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_03_evidence_package.json",
      "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
    }