Details

kind
infographic
provider
other
section_id
section_08
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json
target_ref
wiki_page:computationalreviewrecurrence-08-cross-areal
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-08-cross-areal
source_path
evidence/section_08_evidence_package.json
section_title
8. Cross-areal mouse cortico-cortical excitatory connectivity — hierarchical feedforward and feedback as recurrent loops at the network level; Allen Mouse Connectivity Atlas anchored views
generation_status
complete
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_08_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (4)
prompt
Three approaches give partly inconsistent pictures of cell-class specificity in V1↔HVA cortico-cortical projections: cell-class postsynaptic selectivity (sCRACM, looped-cell preference), gross presynaptic input distributions (rabies, largely similar), and functional bouton matching (2P imaging, strong target-specific match).
raw_fields
{
  "papers": [
    {
      "n": null,
      "doi": "10.7554/eLife.59551",
      "value": "stronger CC EPSCs onto looped L5/L6 neurons vs other projection classes; absent in L2/3",
      "method": "subcellular ChR2-assisted circuit mapping",
      "metric": "looped-class selectivity (qualitative)",
      "n_analyzed": null,
      "ci_or_error": null,
      "text_access": "abstract_only",
      "n_definition": "patched cells",
      "scope_region": "mouse visual cortex (V1/HVA)",
      "study_system": "Mouse V1 + higher visual areas",
      "taxonomic_level": "projection class × layer",
      "scope_population": "FF and FB CC inputs",
      "value_source_sentence": "FF and FB afferents showed similar cell-type selectivity, making stronger connections with looped neurons than with other projection types in layer (L)5 and L6, but not in L2/3, resulting in selective modulation of activity in looped neurons.",
      "experimental_conditions": "ex vivo slice with sCRACM"
    },
    {
      "n": null,
      "doi": "10.1101/2025.07.08.663552",
      "value": "majority of inputs from VISp; FF vs FB types differ only in fraction of inputs from visual / retrosplenial / auditory cortices",
      "method": "monosynaptic rabies tracing",
      "metric": "long-distance presynaptic input source distribution",
      "n_analyzed": null,
      "ci_or_error": null,
      "text_access": "abstract_only",
      "n_definition": "presynaptic neurons labelled by rabies tracing",
      "scope_region": "mouse VISl/LM secondary visual cortex",
      "study_system": "Mouse VISl/LM",
      "taxonomic_level": "projection-/layer-specific cell types",
      "scope_population": "FF and FB CC cell types",
      "value_source_sentence": "Overall, long-distance input patterns for these feedforward and feedback neurons were largely similar, as all received the majority of their inputs from VISp, the primary visual cortex, along with substantial inputs from various other cortical and visual thalamic regions.",
      "experimental_conditions": "projection-/layer-specific monosynaptic rabies tracing"
    },
    {
      "n": null,
      "doi": "10.1038/nn.3300",
      "value": "match in mean SF/TF preference between presynaptic boutons and recipient neurons in each HVA",
      "method": "2P bouton imaging",
      "metric": "target-matched functional specificity of V1→HVA boutons",
      "n_analyzed": null,
      "ci_or_error": null,
      "text_access": "abstract_only",
      "n_definition": "axonal boutons / neurons imaged",
      "scope_region": "mouse visual cortex (V1, HVAs)",
      "study_system": "Mouse V1 → LM, AL, PM",
      "taxonomic_level": "projection target × functional tuning",
      "scope_population": "V1 cortico-cortical axons",
      "value_source_sentence": "We found that visual preferences of presynaptic boutons in each area were distinct and matched the average preferences of recipient neurons.",
      "experimental_conditions": "in vivo two-photon calcium imaging"
    }
  ],
  "audit_issues": [
    {
      "dimension": "metric_definition",
      "description": "Read-outs differ: postsynaptic EPSC strength (Young/Adesnik 2020, sCRACM), presynaptic input-cell-count fractions (rabies 2025), and bouton tuning preference vs. recipient-neuron mean preference (Glickfeld 2013). Cannot share a single quantitative axis.",
      "entries_affected": [
        "10.7554/eLife.59551",
        "10.1101/2025.07.08.663552",
        "10.1038/nn.3300"
      ]
    },
    {
      "dimension": "scope_region",
      "description": "Rows compare V1↔HVAs at different cortical areas (V1+HVA, VISl/LM, V1→LM/AL/PM). The shared axis 'FF/FB cell-type specificity' aggregates non-identical area pairs.",
      "entries_affected": [
        "10.7554/eLife.59551",
        "10.1101/2025.07.08.663552",
        "10.1038/nn.3300"
      ]
    }
  ],
  "audit_verdict": "CAVEAT",
  "comparison_id": "v1-feedback-cell-type-specificity",
  "comparison_name": "Cell-class specificity of cortico-cortical feedback to mouse V1 / LM",
  "comparison_type": "cross-study conflict",
  "what_it_reveals": "Three approaches give partly inconsistent pictures of cell-class specificity in V1↔HVA cortico-cortical projections: cell-class postsynaptic selectivity (sCRACM, looped-cell preference), gross presynaptic input distributions (rabies, largely similar), and functional bouton matching (2P imaging, strong target-specific match).",
  "homogeneity_check": {
    "caveats": [
      "Different read-outs: postsynaptic EPSC strength vs presynaptic count vs functional bouton tuning.",
      "Different cortical areas (V1, LM, AL, PM) compared at different cell-type / projection-class resolutions."
    ],
    "n_definition_uniform": "false",
    "scope_region_uniform": "false",
    "taxonomic_level_uniform": "false",
    "scope_population_uniform": "false"
  },
  "suggested_plot_type": "heatmap",
  "mandatory_caption_caveats": [
    "Rows measure different observables (EPSC strength onto looped neurons, fraction of presynaptic inputs by area, bouton-tuning match); the figure aggregates across read-outs.",
    "Compared cortical areas differ (V1+HVA broadly, VISl/LM specifically, V1→LM/AL/PM)."
  ]
}
source_refs
[
  "paper:paper-032c4af7487d",
  "paper:paper-1347ac2a3c48",
  "paper:paper-68ebfbe01b0b"
]
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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