Version history

{
  "scope": "Mouse cortex in vivo + cultured rat/human neurons; ASAP5 GEVI",
  "claim_text": "The genetically encoded voltage indicator ASAP5 reports action potentials in vivo with higher signal-to-noise than previous GEVIs, detects graded subthreshold responses to sensory stimuli in single two-photon trials, and can resolve ~1-mV excitatory postsynaptic potentials in cultured rat or human neurons.",
  "raw_fields": {
    "n": 0,
    "doi": "10.1016/j.neuron.2024.08.019",
    "claim": "The genetically encoded voltage indicator ASAP5 reports action potentials in vivo with higher signal-to-noise than previous GEVIs, detects graded subthreshold responses to sensory stimuli in single two-photon trials, and can resolve ~1-mV excitatory postsynaptic potentials in cultured rat or human neurons.",
    "cite_key": "Hao2024",
    "evidence": "Voltage indicator advance enabling readout of subthreshold and unitary synaptic events — addresses cluster_14 'subthreshold network activity' methodological gap.",
    "effect_size": "~1-mV EPSPs resolvable in single trials",
    "text_access": "abstract_only",
    "study_system": "Mouse cortex in vivo + cultured rat/human neurons; ASAP5 GEVI",
    "argument_role": "supporting",
    "replication_status": "single-study",
    "claim_source_sentence": "ASAP5 reported action potentials (APs) in vivo with higher signal-to-noise ratios than previous GEVIs and successfully detected graded and subthreshold responses to sensory stimuli in single two-photon trials.",
    "source_provenance_status": "non_substring_match",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "In cultured rat or human neurons, somatic ASAP5 reported synaptic events propagating centripetally and could detect ∼1-mV EPSPs."
  },
  "section_id": "section_15",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json",
  "effect_size": "~1-mV EPSPs resolvable in single trials",
  "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:96b5e2e9-24f3-48b8-a2ce-d8a0eb0abe28"
  ],
  "source_span": "ASAP5 reported action potentials (APs) in vivo with higher signal-to-noise ratios than previous GEVIs and successfully detected graded and subthreshold responses to sensory stimuli in single two-photon trials.",
  "study_system": "Mouse cortex in vivo + cultured rat/human neurons; ASAP5 GEVI",
  "evidence_refs": [
    {
      "ref": "paper:96b5e2e9-24f3-48b8-a2ce-d8a0eb0abe28"
    }
  ],
  "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": "Voltage indicator advance enabling readout of subthreshold and unitary synaptic events — addresses cluster_14 'subthreshold network activity' methodological gap.",
  "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
  "replication_status": "single-study",
  "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"
}