Version history

{
  "kind": "infographic",
  "prompt": "Different studies report varying proportions of Martinotti vs non-Martinotti SST neurons in layer 5, reflecting methodological differences and potentially genuine regional variation. This comparison reveals the extent of agreement on basic SST subtype composition.",
  "provider": "other",
  "raw_fields": {
    "papers": [
      {
        "doi": "10.1523/jneurosci.2415-17.2017",
        "value": "T-shaped Martinotti ~10%, fanning-out Martinotti ~50%, non-Martinotti ~40%",
        "method": "electrophysiology + morphology",
        "metric": "Proportion of L5 SST subtypes",
        "cite_key": "Nigro2018",
        "condition": "acute brain slices",
        "study_system": "mouse barrel cortex",
        "value_source_sentence": "We estimated the proportion of each subtype in L5 and found that T-shaped Martinotti, fanning-out Martinotti, and Non-Martinotti cells represent ~10, ~50, and ~40% of L5 SST-INs, respectively."
      },
      {
        "doi": "10.1016/j.neuron.2023.05.032",
        "value": "Three subtypes with distinct laminar organization and stereotyped axonal projection patterns",
        "method": "genetic targeting + rabies tracing",
        "metric": "SST subtype circuit specificity",
        "cite_key": "Wu2023",
        "condition": "in vivo and in vitro",
        "study_system": "mouse cortex",
        "value_source_sentence": "We designed a series of genetic strategies to target the breadth of somatostatin interneuron subtypes and found that each subtype possesses a unique laminar organization and stereotyped axonal projection pattern."
      },
      {
        "doi": "10.1016/j.tins.2024.12.004",
        "value": "Transcriptomic data divide SST neurons into multiple subtypes correlated with morpho-electric properties",
        "method": "transcriptomics + morpho-electrophysiology",
        "metric": "SST subtype classification",
        "cite_key": "Park2025b",
        "condition": "N/A (review)",
        "study_system": "mouse cortex (review)",
        "value_source_sentence": "Transcriptomic data suggest that this class can be divided into multiple subtypes that are correlated with morpho-electric properties."
      }
    ],
    "comparison_id": "sst-subtype-proportions-across-studies",
    "comparison_name": "SST Interneuron Subtype Proportions Across Studies",
    "comparison_type": "cross-study conflict",
    "what_it_reveals": "Different studies report varying proportions of Martinotti vs non-Martinotti SST neurons in layer 5, reflecting methodological differences and potentially genuine regional variation. This comparison reveals the extent of agreement on basic SST subtype composition.",
    "homogeneity_check": {
      "caveats": "Methodological basis for subtype classification differs (morphology vs transcriptomics vs genetic tools); proportions may vary by cortical area and layer",
      "n_definition": "Individual cells classified morphologically vs transcriptomic clusters",
      "scope_region": "All from mouse neocortex but different areas (barrel cortex vs cortex broadly)",
      "taxonomic_level": "Morphological subtypes vs transcriptomic clusters",
      "scope_population": "L5 SST neurons specifically vs all SST neurons"
    },
    "suggested_plot_type": "grouped bar"
  },
  "section_id": "section_13_evidence_package",
  "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_13_evidence_package.json",
  "target_ref": "wiki_page:computationalreviewsst-13",
  "review_repo": "ComputationalReviewSST",
  "section_ref": "wiki_page:computationalreviewsst-13",
  "source_path": "evidence/section_13_evidence_package.json",
  "source_refs": [
    "paper:paper-c57fcb1aef2a",
    "paper:paper-c7076ba88e47",
    "paper:paper-f74447d3e5d5"
  ],
  "section_title": "Synthesis and Evidence Assessment",
  "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": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
    "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
  },
  "generation_status": "complete",
  "review_bundle_ref": "analysis_bundle:ab-8466d095488a",
  "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST/blob/89b7e9787cd90e942b0adb531d549af3ddad30f1/evidence/section_13_evidence_package.json",
  "commit_sha": "89b7e9787cd90e942b0adb531d549af3ddad30f1",
  "created_by": "persona-jerome-lecoq-gbo-neuroscience",
  "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewSST"
}