Version history

{
  "scope": "Awake behaving mouse cortex; JEDI-2P GEVI under 2P microscopy",
  "claim_text": "JEDI-2P, an indicator engineered specifically for 2P microscopy, supports sustained voltage recording from individual cortical neurons in awake mice for >30 minutes and detects spikes beyond 400 µm depth using ULoVE random-access scanning — bounding the present-day depth and duration of 2P voltage imaging in cortex.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1016/j.cell.2022.07.013",
    "claim": "JEDI-2P, an indicator engineered specifically for 2P microscopy, supports sustained voltage recording from individual cortical neurons in awake mice for >30 minutes and detects spikes beyond 400 µm depth using ULoVE random-access scanning — bounding the present-day depth and duration of 2P voltage imaging in cortex.",
    "cite_key": "Liu2022a",
    "evidence": "Quantifies the leading-edge time and depth window of 2P voltage imaging; complements the 12-neuron / 300 µm constraint from optical-constraints paper.",
    "effect_size": ">30 min recording duration; spike detection at >400 µm depth (ULoVE)",
    "text_access": "abstract_only",
    "study_system": "Awake behaving mouse cortex; JEDI-2P GEVI under 2P microscopy",
    "argument_role": "supporting",
    "replication_status": "replicated",
    "claim_source_sentence": "JEDI-2P can also optically record the voltage dynamics of individual cortical neurons in awake behaving mice for more than 30 min using both resonant-scanning and ULoVE random-access microscopy.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [
      "10.1117/1.nph.11.3.035007",
      "10.1126/sciadv.adp5763"
    ],
    "effect_size_source_sentence": "Finally, ULoVE recording of JEDI-2P can robustly detect spikes at depths exceeding 400 μm and report voltage correlations in pairs of neurons."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": ">30 min recording duration; spike detection at >400 µm depth (ULoVE)",
  "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-07e278a78498"
  ],
  "source_span": "JEDI-2P can also optically record the voltage dynamics of individual cortical neurons in awake behaving mice for more than 30 min using both resonant-scanning and ULoVE random-access microscopy.",
  "study_system": "Awake behaving mouse cortex; JEDI-2P GEVI under 2P microscopy",
  "evidence_refs": [
    {
      "ref": "paper:paper-07e278a78498"
    }
  ],
  "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": "Quantifies the leading-edge time and depth window of 2P voltage imaging; complements the 12-neuron / 300 µm constraint from optical-constraints paper.",
  "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"
}