Details

scope
anesthetized mouse S1, two-photon-targeted multi-cell (2–4) whole-cell patch-clamp recording across L1–L3
section_id
section_04
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json
effect_size
<150 μm pair distance; 2–4 simultaneous patches.
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-04-translaminar
source_kind
review_finding
source_path
evidence/section_04_evidence_package.json
study_system
anesthetized mouse S1, two-photon-targeted multi-cell (2–4) whole-cell patch-clamp recording across L1–L3
section_title
4. Translaminar excitatory loops in mouse — L4→L2/3→L5→L6→L4 within the column; asymmetry of forward and backward intracortical projections
evidence_summary
Anesthetized mouse S1; two-photon-guided multiple (2–4) whole-cell patch-clamp recording from nearby neurons in cortical L1–L3; method validated on monosynaptically connected pairs.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
methods_validation
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-04-translaminar
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_04_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (6)
claim_text
Two-photon-targeted multiple (2–4) whole-cell patch-clamp recording in anesthetized mouse S1 enables detection of monosynaptically connected neuron pairs across superficial layers 1–3 — providing a generalized in vivo method for measuring intracortical excitatory connection probabilities and unitary EPSPs across translaminar pairs at distances <150 μm.
raw_fields
{
  "n": 0,
  "doi": "10.3389/fnsyn.2019.00015",
  "claim": "Two-photon-targeted multiple (2–4) whole-cell patch-clamp recording in anesthetized mouse S1 enables detection of monosynaptically connected neuron pairs across superficial layers 1–3 — providing a generalized in vivo method for measuring intracortical excitatory connection probabilities and unitary EPSPs across translaminar pairs at distances <150 μm.",
  "cite_key": "Jouhanneau2019",
  "evidence": "Anesthetized mouse S1; two-photon-guided multiple (2–4) whole-cell patch-clamp recording from nearby neurons in cortical L1–L3; method validated on monosynaptically connected pairs.",
  "effect_size": "<150 μm pair distance; 2–4 simultaneous patches.",
  "text_access": "abstract_only",
  "study_system": "anesthetized mouse S1, two-photon-targeted multi-cell (2–4) whole-cell patch-clamp recording across L1–L3",
  "argument_role": "supporting",
  "replication_status": "methods_validation",
  "claim_source_sentence": "To address this, we have developed two-photon targeted multiple (2-4) whole-cell patch clamp recordings of nearby neurons in superficial cortical layers 1-3. Here, we describe a step-by-step guide to this approach in the anesthetized mouse primary somatosensory cortex.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [
    "10.1016/j.neuron.2014.11.025"
  ],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-47adc87cd10d"
]
source_span
To address this, we have developed two-photon targeted multiple (2-4) whole-cell patch clamp recordings of nearby neurons in superficial cortical layers 1-3. Here, we describe a step-by-step guide to this approach in the anesthetized mouse primary somatosensory cortex.
evidence_refs
[
  {
    "ref": "paper:paper-47adc87cd10d"
  }
]
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"
}

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