Version history

{
  "scope": "Awake mouse cortex (also hippocampal slice, zebrafish larvae); rhodopsin-based GEVIs Jarvis, pAce, Voltron2",
  "claim_text": "Rhodopsin-based GEVIs (Jarvis, pAce, Voltron2) can be used under two-photon illumination to deliver high-SNR kilohertz action-potential detection in awake mouse cortex, with FRET-opsin GEVIs particularly benefiting from low-irradiance scanless 2P.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1016/j.neuron.2025.12.014",
    "claim": "Rhodopsin-based GEVIs (Jarvis, pAce, Voltron2) can be used under two-photon illumination to deliver high-SNR kilohertz action-potential detection in awake mouse cortex, with FRET-opsin GEVIs particularly benefiting from low-irradiance scanless 2P.",
    "cite_key": "Grimm2026",
    "evidence": "Provides a second, independent demonstration that 2P rhodopsin-GEVI voltage imaging works in cortex — relevant to cluster_14's voltage-imaging resolution-limit discussion.",
    "effect_size": "Kilohertz imaging rate; SNR improvement reported for scanless vs scanning 2P",
    "text_access": "abstract_only",
    "study_system": "Awake mouse cortex (also hippocampal slice, zebrafish larvae); rhodopsin-based GEVIs Jarvis, pAce, Voltron2",
    "argument_role": "supporting",
    "replication_status": "replicated",
    "claim_source_sentence": "Utilizing Jarvis and pAce, we establish high-SNR action potential detection at kilohertz imaging rates in mouse hippocampal slices, zebrafish larvae, and the cortex of awake mice, demonstrating high-contrast action potential detection under 2P illumination with rhodopsin-based GEVIs in vitro and in vivo.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [
      "10.1126/sciadv.adp5763"
    ],
    "effect_size_source_sentence": "Comparing 2P scanless with fast 2P scanning illumination revealed that responses are resolved with both approaches, but FRET-opsin GEVIs show improved signal-to-noise ratio (SNR) with low irradiance, inherent to scanless illumination."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": "Kilohertz imaging rate; SNR improvement reported for scanless vs scanning 2P",
  "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-45a8cfabfd65"
  ],
  "source_span": "Utilizing Jarvis and pAce, we establish high-SNR action potential detection at kilohertz imaging rates in mouse hippocampal slices, zebrafish larvae, and the cortex of awake mice, demonstrating high-contrast action potential detection under 2P illumination with rhodopsin-based GEVIs in vitro and in vivo.",
  "study_system": "Awake mouse cortex (also hippocampal slice, zebrafish larvae); rhodopsin-based GEVIs Jarvis, pAce, Voltron2",
  "evidence_refs": [
    {
      "ref": "paper:paper-45a8cfabfd65"
    }
  ],
  "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": {
    "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": "Provides a second, independent demonstration that 2P rhodopsin-GEVI voltage imaging works in cortex — relevant to cluster_14's voltage-imaging resolution-limit discussion.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "replicated",
  "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"
}