Details

scope
rat S1 barrel column (cell-type-specific bouton quantification)
claim_text
In a rat S1 barrel column, every excitatory neuron type receives substantial thalamocortical innervation (~90–580 boutons per neuron); thick-tufted L5 pyramidal cells receive comparable VPM and POm bouton numbers (~300 each).
section_id
section_06
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_06_evidence_package.json
effect_size
~300 VPM boutons + ~300 POm boutons per L5 thick-tufted pyramidal neuron
review_repo
ComputationalReviewLoops
section_ref
wiki_page:computationalreviewloops-06
source_kind
review_finding
source_path
evidence/section_06_evidence_package.json
study_system
rat S1 barrel column (cell-type-specific bouton quantification)
section_title
Thalamic Feedback: Closing the Loop
evidence_summary
Synaptophysin-EGFP labeling combined with reconstructed biocytin-filled neurons quantifying VPM/POm boutons onto each cell class in rat S1.
review_bundle_ref
analysis_bundle:ab-d49e54403ef9
replication_status
independently_replicated
review_package_ref
analysis_bundle:ab-d49e54403ef9
source_artifact_ref
wiki_page:computationalreviewloops-06
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_06_evidence_package.json
commit_sha
0632aae8abc141909207fe91f6349b9e36489c3b
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops
Raw fields (5)
raw_fields
{
  "n": 580,
  "doi": "10.1093/cercor/bhq069",
  "claim": "In a rat S1 barrel column, every excitatory neuron type receives substantial thalamocortical innervation (~90–580 boutons per neuron); thick-tufted L5 pyramidal cells receive comparable VPM and POm bouton numbers (~300 each).",
  "cite_key": "Meyer2010",
  "evidence": "Synaptophysin-EGFP labeling combined with reconstructed biocytin-filled neurons quantifying VPM/POm boutons onto each cell class in rat S1.",
  "effect_size": "~300 VPM boutons + ~300 POm boutons per L5 thick-tufted pyramidal neuron",
  "text_access": "fulltext",
  "study_system": "rat S1 barrel column (cell-type-specific bouton quantification)",
  "source_cluster_id": "cluster_05",
  "replication_status": "independently_replicated",
  "claim_source_sentence": "We found that all types of excitatory neurons potentially receive substantial TC input (90-580 boutons per neuron); 2) pyramidal neurons in L3-L6 receive dual TC input from both VPM and POm that is potentially of equal magnitude for thick-tufted L5 pyramidal neurons (ca. 300 boutons each from VPM and POm); 3) L3, L4, and L5 pyramidal neurons have multiple (2-4) subcellular TC innervation domains that match the dendritic compartments of pyramidal cells; and 4) a subtype of thick-tufted L5 pyramidal neurons has an additional VPM innervation domain in L4.",
  "replication_evidence_dois": [
    "10.1093/cercor/bhn259",
    "10.7554/elife.44158"
  ],
  "effect_size_source_sentence": "pyramidal neurons in L3-L6 receive dual TC input from both VPM and POm that is potentially of equal magnitude for thick-tufted L5 pyramidal neurons (ca. 300 boutons each from VPM and POm)"
}
source_refs
[
  "paper:paper-e5d5db2e3c24"
]
source_span
We found that all types of excitatory neurons potentially receive substantial TC input (90-580 boutons per neuron); 2) pyramidal neurons in L3-L6 receive dual TC input from both VPM and POm that is potentially of equal magnitude for thick-tufted L5 pyramidal neurons (ca. 300 boutons each from VPM and POm); 3) L3, L4, and L5 pyramidal neurons have multiple (2-4) subcellular TC innervation domains that match the dendr...
evidence_refs
[
  {
    "ref": "paper:paper-e5d5db2e3c24"
  }
]
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": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
}

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