Version history

{
  "scope": "rat hippocampus",
  "claim_text": "We found that inhibitory inputs from somatostatin (SST) and parvalbumin (PV)-positive interneurons onto CA1 PCs display input-specific long-term plastic changes following transient NMDA receptor activation.",
  "raw_fields": {
    "n": 92,
    "doi": "10.1038/s41598-024-70278-w",
    "claim": "We found that inhibitory inputs from somatostatin (SST) and parvalbumin (PV)-positive interneurons onto CA1 PCs display input-specific long-term plastic changes following transient NMDA receptor activation.",
    "evidence": "Sensory experiences and learning induce long-lasting changes in both excitatory and inhibitory synapses, thereby providing a crucial substrate for memory. However, the co-tuning of excitatory long-term potentiation (eLTP) or depression (eLTD) with the simultaneous changes at inhibitory synapses (iLT",
    "effect_size": "Interestingly, 30 min after NMDA administration for 2′30′′ excitatory CA3 → CA1 synapses expressed excitatory long-term depression (eLTD) (average EPSC before: 141.6 ± 19.6 pA, after: 109.0 ± 20.8 pA, n = 25, p = 0.002, paired t-test ).",
    "text_access": "fulltext",
    "study_system": "rat hippocampus",
    "replication_status": "within_lab_replicated",
    "claim_source_sentence": "We found that inhibitory inputs from somatostatin (SST) and parvalbumin (PV)-positive interneurons onto CA1 PCs display input-specific long-term plastic changes following transient NMDA receptor activation.",
    "replication_evidence_dois": [],
    "effect_size_source_sentence": "Interestingly, 30 min after NMDA administration for 2′30′′ excitatory CA3 → CA1 synapses expressed excitatory long-term depression (eLTD) (average EPSC before: 141.6 ± 19.6 pA, after: 109.0 ± 20.8 pA, n = 25, p = 0.002, paired t-test )."
  },
  "section_id": "section_06_evidence_package",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_06_evidence_package.json",
  "effect_size": "Interestingly, 30 min after NMDA administration for 2′30′′ excitatory CA3 → CA1 synapses expressed excitatory long-term depression (eLTD) (average EPSC before: 141.6 ± 19.6 pA, after: 109.0 ± 20.8 pA, n = 25, p = 0.002, paired t-test ).",
  "review_repo": "ComputationalReviewPV",
  "section_ref": "wiki_page:computationalreviewpv-06",
  "source_kind": "review_finding",
  "source_path": "evidence/section_06_evidence_package.json",
  "source_refs": [
    "paper:paper-6634769ed2ab"
  ],
  "source_span": "We found that inhibitory inputs from somatostatin (SST) and parvalbumin (PV)-positive interneurons onto CA1 PCs display input-specific long-term plastic changes following transient NMDA receptor activation.",
  "study_system": "rat hippocampus",
  "evidence_refs": [
    {
      "ref": "paper:paper-6634769ed2ab"
    }
  ],
  "section_title": "Synaptic Physiology: Input Specificity, Output Targeting, and Short-Term Dynamics",
  "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": "df9fc7e8d455b084152c9d713558dae0013cef21",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
  },
  "evidence_summary": "Sensory experiences and learning induce long-lasting changes in both excitatory and inhibitory synapses, thereby providing a crucial substrate for memory. However, the co-tuning of excitatory long-term potentiation (eLTP) or depression (eLTD) with the simultaneous changes at inhibitory synapses (iLT",
  "review_bundle_ref": "analysis_bundle:ab-e6261c8263e7",
  "replication_status": "within_lab_replicated",
  "review_package_ref": "analysis_bundle:ab-e6261c8263e7",
  "source_artifact_ref": "wiki_page:computationalreviewpv-06",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV/blob/df9fc7e8d455b084152c9d713558dae0013cef21/evidence/section_06_evidence_package.json",
  "commit_sha": "df9fc7e8d455b084152c9d713558dae0013cef21",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewPV"
}