Version history

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

  1. Live 18852dd22ae9
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "mouse visual cortex; Patch-seq and whole-brain fMOST morphology reconstruction",
      "claim_text": "MET-type labels, anatomical location, and transcriptomically-correlated morphological properties of excitatory neurons in mouse visual cortex can be used to build models that predict specific long-range projection targets for individual neurons.",
      "raw_fields": {
        "n": 1544,
        "doi": "10.1101/2023.11.25.568393",
        "claim": "MET-type labels, anatomical location, and transcriptomically-correlated morphological properties of excitatory neurons in mouse visual cortex can be used to build models that predict specific long-range projection targets for individual neurons.",
        "cite_key": "Sorensen2023",
        "evidence": "Patch-seq data from 1,544 excitatory neurons in mouse visual cortex were combined with whole neuron morphology (WNM) reconstructions using fMOST imaging, and local morphology served as the key link between transcriptomic identity and long-range interareal axonal projections.",
        "effect_size": "",
        "text_access": "fulltext",
        "study_system": "mouse visual cortex; Patch-seq and whole-brain fMOST morphology reconstruction",
        "argument_role": "supporting",
        "replication_status": "novel",
        "claim_source_sentence": "MET-type labels, anatomical location, and transcriptomically-correlated morphological properties were used to build models to predict specific projection targets for individual neurons.",
        "source_provenance_status": "ok",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": ""
      },
      "section_id": "section_05",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_05_evidence_package.json",
      "effect_size": "",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-05-horizontal",
      "source_kind": "review_finding",
      "source_path": "evidence/section_05_evidence_package.json",
      "source_refs": [
        "paper:paper-pm-38168270"
      ],
      "source_span": "MET-type labels, anatomical location, and transcriptomically-correlated morphological properties were used to build models to predict specific projection targets for individual neurons.",
      "study_system": "mouse visual cortex; Patch-seq and whole-brain fMOST morphology reconstruction",
      "evidence_refs": [
        {
          "ref": "paper:paper-pm-38168270"
        }
      ],
      "section_title": "5. Horizontal long-range intracortical excitatory connections in mouse — patchy L2/3-L5 axons, similarity tuning, distance-decay",
      "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": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
      },
      "evidence_summary": "Patch-seq data from 1,544 excitatory neurons in mouse visual cortex were combined with whole neuron morphology (WNM) reconstructions using fMOST imaging, and local morphology served as the key link between transcriptomic identity and long-range interareal axonal projections.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "novel",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-05-horizontal",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_05_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }