A multi-modal HCP parcellation of human cerebral cortex used myelin maps, T1w/T…

Details

scope: Human cerebral cortex; HCP MRI cohort; multimodal areal-feature registration
claim_text: A multi-modal HCP parcellation of human cerebral cortex used myelin maps, T1w/T2w imaging, and resting-state networks to align cortical data via 'MSMAll' areal-feature-based registration.
section_id: section_12
source_url: https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json
review_repo: ComputationalReviewLoops
section_ref: wiki_page:computationalreviewloops-12
source_kind: review_finding
source_path: evidence/section_12_evidence_package.json
source_span: We aligned cortical data using ‘areal features’, including maps of relative myelin content and resting state networks that are more closely tied to cortical areas than are the folding patterns typically used for alignment 14 .
study_system: Human cerebral cortex; HCP MRI cohort; multimodal areal-feature registration
section_title: Whole-Brain Connectomics: Mouse, Primate, Human
evidence_summary: HCP multi-modal parcellation underpins human-side comparisons in cross-species connectomics.
review_bundle_ref: analysis_bundle:ab-d49e54403ef9
replication_status: replication_unknown
review_package_ref: analysis_bundle:ab-d49e54403ef9
source_artifact_ref: wiki_page:computationalreviewloops-12
origin_url: https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_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": 0,
  "doi": "10.1038/nature18933",
  "claim": "A multi-modal HCP parcellation of human cerebral cortex used myelin maps, T1w/T2w imaging, and resting-state networks to align cortical data via 'MSMAll' areal-feature-based registration.",
  "cite_key": "Glasser2016",
  "evidence": "HCP multi-modal parcellation underpins human-side comparisons in cross-species connectomics.",
  "effect_size": null,
  "text_access": "fulltext",
  "study_system": "Human cerebral cortex; HCP MRI cohort; multimodal areal-feature registration",
  "source_cluster_id": "cluster_11",
  "replication_status": "replication_unknown",
  "claim_source_sentence": "We aligned cortical data using ‘areal features’, including maps of relative myelin content and resting state networks that are more closely tied to cortical areas than are the folding patterns typically used for alignment 14 .",
  "replication_evidence_dois": [],
  "effect_size_source_sentence": null
}

source_refs

[
  "paper:paper-0c9ac18f5ad5"
]

evidence_refs

[
  {
    "ref": "paper:paper-0c9ac18f5ad5"
  }
]

source_policy

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  "notes": [
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  "source_commit_sha": "0632aae8abc141909207fe91f6349b9e36489c3b",
  "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops"
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A multi-modal HCP parcellation of human cerebral cortex used myelin maps, T1w/T…

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Replication

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