Details

scope
Cross-species structural and functional brain network literature
section_id
section_08
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json
review_repo
ComputationalReviewLoops
section_ref
wiki_page:computationalreviewloops-08
source_kind
review_finding
source_path
evidence/section_08_evidence_package.json
source_span
A large number of methods for community detection have become available and are now widely applied in network neuroscience.
study_system
Cross-species structural and functional brain network literature
section_title
Cortical Association Connectome: Intra-Cortical Loops and Modules
review_bundle_ref
analysis_bundle:ab-d49e54403ef9
replication_status
replication_unknown
review_package_ref
analysis_bundle:ab-d49e54403ef9
source_artifact_ref
wiki_page:computationalreviewloops-08
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_08_evidence_package.json
commit_sha
0632aae8abc141909207fe91f6349b9e36489c3b
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops
Raw fields (6)
claim_text
Modular community-detection methods applied to brain networks consistently reveal modules whose boundaries align with functional specialization and that contribute to wiring-cost minimization and complex dynamics across structural and functional connectomes.
raw_fields
{
  "n": 0,
  "doi": "10.1146/annurev-psych-122414-033634",
  "claim": "Modular community-detection methods applied to brain networks consistently reveal modules whose boundaries align with functional specialization and that contribute to wiring-cost minimization and complex dynamics across structural and functional connectomes.",
  "cite_key": "Sporns2016",
  "evidence": "Modular community-detection methods applied to brain networks consistently reveal modules whose boundaries align with functional specialization and that contribute to wiring-cost minimization and complex dynamics across structural and functional connectomes.",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "Cross-species structural and functional brain network literature",
  "source_cluster_id": "cluster_07",
  "replication_status": "replication_unknown",
  "claim_source_sentence": "A large number of methods for community detection have become available and are now widely applied in network neuroscience.",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-ab8787a5a9ae"
]
evidence_refs
[
  {
    "ref": "paper:paper-ab8787a5a9ae"
  }
]
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"
}
evidence_summary
Modular community-detection methods applied to brain networks consistently reveal modules whose boundaries align with functional specialization and that contribute to wiring-cost minimization and complex dynamics across structural and functional connectomes.

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