Version history

{
  "scope": "Developing ferret visual cortex (opto-macroscope; method translates to mouse)",
  "claim_text": "An artifact-free 'opto-macroscope' delivers patterned optogenetic stimulation at high spatial and temporal resolution across millimeters of brain while simultaneously imaging functional neural activity, demonstrated in developing ferret visual cortex where it reactivated spatially complex endogenous networks — extending all-optical interrogation from cellular to functional-network spatial scales.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1016/j.jneumeth.2023.110051",
    "claim": "An artifact-free 'opto-macroscope' delivers patterned optogenetic stimulation at high spatial and temporal resolution across millimeters of brain while simultaneously imaging functional neural activity, demonstrated in developing ferret visual cortex where it reactivated spatially complex endogenous networks — extending all-optical interrogation from cellular to functional-network spatial scales.",
    "cite_key": "Mulholland2024",
    "evidence": "Instrument validation across hundreds-of-microns to several-mm scales; reactivation of endogenous developing-ferret-cortex networks.",
    "effect_size": "patterned opto + concurrent imaging across mm-scale cortical area",
    "text_access": "abstract_only",
    "study_system": "Developing ferret visual cortex (opto-macroscope; method translates to mouse)",
    "argument_role": "supporting",
    "replication_status": "instrument-paper",
    "claim_source_sentence": "We describe an opto-macroscope, an artifact-free, all-optical system capable of delivering patterned optogenetic stimulation with high spatial and temporal resolution across millimeters of brain while simultaneously imaging functional neural activity.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "this approach provides direct manipulation of cortical regions ranging from hundreds of microns to several millimeters in area"
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": "patterned opto + concurrent imaging across mm-scale cortical area",
  "review_repo": "ComputationalReviewRecurrence",
  "section_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "source_kind": "review_finding",
  "source_path": "evidence/section_15_evidence_package.json",
  "source_refs": [
    "paper:paper-4572229f87f2"
  ],
  "source_span": "We describe an opto-macroscope, an artifact-free, all-optical system capable of delivering patterned optogenetic stimulation with high spatial and temporal resolution across millimeters of brain while simultaneously imaging functional neural activity.",
  "study_system": "Developing ferret visual cortex (opto-macroscope; method translates to mouse)",
  "evidence_refs": [
    {
      "ref": "paper:paper-4572229f87f2"
    }
  ],
  "section_title": "15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon",
  "source_policy": {
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    "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": "Instrument validation across hundreds-of-microns to several-mm scales; reactivation of endogenous developing-ferret-cortex networks.",
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  "replication_status": "instrument-paper",
  "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
  "source_artifact_ref": "wiki_page:computationalreviewrecurrence-15-methods-limits",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
}