Version history

{
  "kind": "infographic",
  "prompt": "VTA is heterogeneous with overlapping populations of DA, GABA, and glutamate neurons",
  "provider": "other",
  "raw_fields": {
    "metric": "Percentage of VTA neurons expressing specific molecular markers",
    "papers": [
      {
        "n": 2,
        "doi": "10.1111/ejn.14493",
        "value": "30% VGluT2+CB, 3% VGluT2+PV, <1% VGluT2+CR",
        "cite_key": "Mongia2019",
        "study_system": "rat",
        "value_source_sentence": "We found that among the total population of VGluT2 neurons, 30% coexpressed CB, 3% coexpressed PV and less than 1% coexpressed CR."
      }
    ],
    "n_analyzed": "varies",
    "n_definition": "number of neurons counted or number of animals",
    "scope_region": "VTA (all subnuclei vs specific subnuclei varies)",
    "source_cluster": 3,
    "comparison_name": "VTA neuron subtype proportions by molecular marker",
    "taxonomic_level": "rodent ISH/IHC studies",
    "what_it_reveals": "VTA is heterogeneous with overlapping populations of DA, GABA, and glutamate neurons",
    "scope_population": "VTA neurons",
    "homogeneity_check": {
      "overall_verdict": "CAVEAT - proportions are informative for demonstrating heterogeneity but absolute percentages should not be directly compared across studies due to methodological differences in VTA boundary definition, detection sensitivity, and counting methods",
      "n_definition_consistent": "CAVEAT - some count total neurons per section, others count per animal; stereological vs non-stereological methods",
      "scope_region_consistent": "CAVEAT - VTA boundaries defined differently across studies; some include parabrachial pigmented nucleus, others don't",
      "study_system_consistent": "CAVEAT - mouse vs rat studies may show species differences",
      "scope_population_consistent": "YES - VTA neurons",
      "metric_definition_consistent": "CAVEAT - expression thresholds for ISH vs IHC differ; co-expression definitions vary (co-localization criteria, antibody sensitivity)"
    }
  },
  "section_id": "section_12_evidence",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction/blob/43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48/evidence/section_12_evidence.json",
  "target_ref": "wiki_page:computationalreviewaddiction-12",
  "review_repo": "ComputationalReviewAddiction",
  "section_ref": "wiki_page:computationalreviewaddiction-12",
  "source_path": "evidence/section_12_evidence.json",
  "source_refs": [
    "paper:paper-26391c615215"
  ],
  "section_title": "Synthesis: An Evidence Scorecard for Addiction Neuroscience",
  "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": "43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction"
  },
  "generation_status": "complete",
  "review_bundle_ref": "analysis_bundle:ab-d95cfb705572",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction/blob/43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48/evidence/section_12_evidence.json",
  "commit_sha": "43d33061a22aa4fed3f7dc71fabbfa48ab1d6f48",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewAddiction"
}