Version history

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  1. Live 52f50626dbce
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Brain networks (multi-modal)",
      "claim_text": "After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03-0.06 Hz.",
      "raw_fields": {
        "n": 90,
        "doi": "10.1523/jneurosci.3874-05.2006",
        "claim": "After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03-0.06 Hz.",
        "cite_key": "Achard2006",
        "evidence": "After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03-0.06 Hz.",
        "effect_size": "0.06 Hz",
        "text_access": "abstract_only",
        "study_system": "Brain networks (multi-modal)",
        "source_cluster_id": "cluster_07",
        "replication_status": "independently_replicated",
        "claim_source_sentence": "After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03-0.06 Hz.",
        "replication_evidence_dois": [
          "10.1038/nrn2575",
          "10.1177/1073858416667720",
          "10.1371/journal.pone.0002051"
        ],
        "effect_size_source_sentence": "After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03-0.06 Hz."
      },
      "section_id": "section_08",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json",
      "effect_size": "0.06 Hz",
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-08",
      "source_kind": "review_finding",
      "source_path": "evidence/section_08_evidence_package.json",
      "source_refs": [
        "paper:paper-4505db94a661"
      ],
      "source_span": "After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03-0.06 Hz.",
      "study_system": "Brain networks (multi-modal)",
      "evidence_refs": [
        {
          "ref": "paper:paper-4505db94a661"
        }
      ],
      "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": "After thresholding the wavelet correlation matrices to create undirected graphs of brain functional networks, we found a small-world topology of sparse connections most salient in the low-frequency interval 0.03-0.06 Hz.",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "independently_replicated",
      "review_package_ref": "analysis_bundle:ab-d49e54403ef9",
      "source_artifact_ref": "wiki_page:computationalreviewloops-08",
      "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"
    }