Version history

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

  1. Live 12c9c5f72d1c
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Human Connectome Project resting-state fMRI; macaque comparison data",
      "claim_text": "Decomposition of human resting-state functional connectivity reveals a principal gradient that runs from primary sensory/motor cortex to transmodal default-mode regions, organizing multiple large-scale networks along a single macroscale axis.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1073/pnas.1608282113",
        "claim": "Decomposition of human resting-state functional connectivity reveals a principal gradient that runs from primary sensory/motor cortex to transmodal default-mode regions, organizing multiple large-scale networks along a single macroscale axis.",
        "cite_key": "Margulies2016",
        "evidence": "Decomposition of human resting-state functional connectivity reveals a principal gradient that runs from primary sensory/motor cortex to transmodal default-mode regions, organizing multiple large-scale networks along a single macroscale axis.",
        "effect_size": null,
        "text_access": "abstract_only",
        "study_system": "Human Connectome Project resting-state fMRI; macaque comparison data",
        "source_cluster_id": "cluster_07",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN).",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": null
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewLoops",
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      "source_kind": "review_finding",
      "source_path": "evidence/section_08_evidence_package.json",
      "source_refs": [
        "paper:paper-92d5ad581620"
      ],
      "source_span": "Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN).",
      "study_system": "Human Connectome Project resting-state fMRI; macaque comparison data",
      "evidence_refs": [
        {
          "ref": "paper:paper-92d5ad581620"
        }
      ],
      "section_title": "Cortical Association Connectome: Intra-Cortical Loops and Modules",
      "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": "Decomposition of human resting-state functional connectivity reveals a principal gradient that runs from primary sensory/motor cortex to transmodal default-mode regions, organizing multiple large-scale networks along a single macroscale axis.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "replication_unknown",
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      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
      "commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
    }