Details

scope
Simulated whole-brain tractography phantom built from HCP global tractography; 96 tractograms from 20 groups
section_id
section_12
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_12_evidence_package.json
effect_size
36 ± 17% invalid streamlines; 64% of consensus-recovered bundles were not in ground truth; precision 23 ± 9%
review_repo
ComputationalReviewLoops
section_ref
wiki_page:computationalreviewloops-12
source_kind
review_finding
source_path
evidence/section_12_evidence_package.json
study_system
Simulated whole-brain tractography phantom built from HCP global tractography; 96 tractograms from 20 groups
section_title
Whole-Brain Connectomics: Mouse, Primate, Human
evidence_summary
Twenty research groups, 96 submitted tractograms, ground-truth phantom built from 25 major HCP-derived bundles; quantifies fundamental specificity limit of dMRI tractography.
review_bundle_ref
analysis_bundle:ab-d49e54403ef9
replication_status
independently_replicated
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 (6)
claim_text
In a tractography challenge against simulated ground truth, 36 ± 17% of reconstructed streamlines connected regions that were not actually connected, and 64% of bundles systematically recovered by the majority of submissions were absent from ground truth.
raw_fields
{
  "n": 96,
  "doi": "10.1038/s41467-017-01285-x",
  "claim": "In a tractography challenge against simulated ground truth, 36 ± 17% of reconstructed streamlines connected regions that were not actually connected, and 64% of bundles systematically recovered by the majority of submissions were absent from ground truth.",
  "cite_key": "Maier2017",
  "evidence": "Twenty research groups, 96 submitted tractograms, ground-truth phantom built from 25 major HCP-derived bundles; quantifies fundamental specificity limit of dMRI tractography.",
  "effect_size": "36 ± 17% invalid streamlines; 64% of consensus-recovered bundles were not in ground truth; precision 23 ± 9%",
  "text_access": "fulltext",
  "study_system": "Simulated whole-brain tractography phantom built from HCP global tractography; 96 tractograms from 20 groups",
  "source_cluster_id": "cluster_11",
  "replication_status": "independently_replicated",
  "claim_source_sentence": "The MdLF, FAT, SFOF, and VOF were other examples of highly represented IBs Tractograms contained more invalid than valid bundles Across submissions, 36 ± 17% of the reconstructed individual streamlines connected regions that were not actually connected.",
  "replication_evidence_dois": [
    "10.1162/netn_a_00098",
    "10.1162/netn_a_00345",
    "10.1002/hbm.22828"
  ],
  "effect_size_source_sentence": "Across submissions, 36 ± 17% of the reconstructed individual streamlines connected regions that were not actually connected."
}
source_refs
[
  "paper:paper-773aecd417e5"
]
source_span
The MdLF, FAT, SFOF, and VOF were other examples of highly represented IBs Tractograms contained more invalid than valid bundles Across submissions, 36 ± 17% of the reconstructed individual streamlines connected regions that were not actually connected.
evidence_refs
[
  {
    "ref": "paper:paper-773aecd417e5"
  }
]
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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