Details

scope
Mouse visual cortex excitatory neurons; Patch-seq + whole-brain morphology
section_id
section_15
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json
effect_size
16 MET-types for mouse visual-cortex excitatory cells; 300 reconstructed morphologies
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-15-methods-limits
source_kind
review_finding
source_path
evidence/section_15_evidence_package.json
source_span
From the Patch-seq data, we defined 16 integrated morphoelectric-transcriptomic (MET)-types; in parallel, we reconstructed the complete morphologies of 300 neurons.
study_system
Mouse visual cortex excitatory neurons; Patch-seq + whole-brain morphology
evidence_summary
First integration of Patch-seq with whole-brain projections for mouse-cortex excitatory cells — directly relevant to cluster_14 anticipated multimodal tooling.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
single-study
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-15-methods-limits
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_15_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (6)
claim_text
Coordinated Patch-seq and complete-morphology reconstructions of 300 mouse visual-cortex excitatory neurons define 16 morpho-electric-transcriptomic (MET) types for excitatory cells and demonstrate that transcriptomic variation predicts morphological and electrophysiological phenotype, beginning to link transcriptomic identity to long-range projection targets.
raw_fields
{
  "n": 300,
  "doi": "10.1101/2023.11.25.568393",
  "claim": "Coordinated Patch-seq and complete-morphology reconstructions of 300 mouse visual-cortex excitatory neurons define 16 morpho-electric-transcriptomic (MET) types for excitatory cells and demonstrate that transcriptomic variation predicts morphological and electrophysiological phenotype, beginning to link transcriptomic identity to long-range projection targets.",
  "cite_key": "Sorensen2023",
  "evidence": "First integration of Patch-seq with whole-brain projections for mouse-cortex excitatory cells — directly relevant to cluster_14 anticipated multimodal tooling.",
  "effect_size": "16 MET-types for mouse visual-cortex excitatory cells; 300 reconstructed morphologies",
  "text_access": "abstract_only",
  "study_system": "Mouse visual cortex excitatory neurons; Patch-seq + whole-brain morphology",
  "argument_role": "supporting",
  "replication_status": "single-study",
  "claim_source_sentence": "From the Patch-seq data, we defined 16 integrated morphoelectric-transcriptomic (MET)-types; in parallel, we reconstructed the complete morphologies of 300 neurons.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "From the Patch-seq data, we defined 16 integrated morphoelectric-transcriptomic (MET)-types; in parallel, we reconstructed the complete morphologies of 300 neurons."
}
source_refs
[
  "paper:paper-pm-38168270"
]
evidence_refs
[
  {
    "ref": "paper:paper-pm-38168270"
  }
]
section_title
15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon
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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