Details

scope
birds
claim_text
Using this method, we found that deafening preferentially alters gene expression across birdsong neural circuitry relative to surrounding areas, particularly in premotor and striatal regions.
section_id
section_15
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_15_evidence_package.json
effect_size
598 samples
review_repo
ComputationalReviewLoops
section_ref
wiki_page:computationalreviewloops-15
source_kind
review_finding
source_path
evidence/section_15_evidence_package.json
source_span
Using this method, we found that deafening preferentially alters gene expression across birdsong neural circuitry relative to surrounding areas, particularly in premotor and striatal regions.
study_system
birds
section_title
Species Differences and Evolutionary Scaling of Loop Architecture
evidence_summary
fulltext
review_bundle_ref
analysis_bundle:ab-d49e54403ef9
replication_status
replication_unknown
review_package_ref
analysis_bundle:ab-d49e54403ef9
source_artifact_ref
wiki_page:computationalreviewloops-15
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_15_evidence_package.json
commit_sha
0632aae8abc141909207fe91f6349b9e36489c3b
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops
Raw fields (4)
raw_fields
{
  "n": 598,
  "doi": "10.7554/elife.85970",
  "claim": "Using this method, we found that deafening preferentially alters gene expression across birdsong neural circuitry relative to surrounding areas, particularly in premotor and striatal regions.",
  "cite_key": "Colquitt2023",
  "evidence": "fulltext",
  "effect_size": "598 samples",
  "text_access": "fulltext",
  "study_system": "birds",
  "source_cluster_id": "cluster_14",
  "replication_status": "replication_unknown",
  "claim_source_sentence": "Using this method, we found that deafening preferentially alters gene expression across birdsong neural circuitry relative to surrounding areas, particularly in premotor and striatal regions.",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": "We used SLCR-seq to generate RNA-seq libraries for each bird from eight brain regions — HVC, RA, LMAN, and Area X, and four paired non-song regions — ( Figure 2D ) with multiple LCM sections (2–6) collected per region per bird, yielding 598 samples after quality control filtering for the number of detected genes in each sample (mean ± s.d. number of sections per region per bird = 4.5 ± 1.5)."
}
source_refs
[
  "paper:paper-ab522853ee1e"
]
evidence_refs
[
  {
    "ref": "paper:paper-ab522853ee1e"
  }
]
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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