Details
- scope
- Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters.
- section_id
- section_14
- source_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_14_evidence_package.json
- review_repo
- ComputationalReviewLoops
- section_ref
- wiki_page:computationalreviewloops-14
- source_kind
- review_finding
- source_path
- evidence/section_14_evidence_package.json
- study_system
- Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters.
- section_title
- Loop Dysfunction in Neurological and Psychiatric Disease
- evidence_summary
- (, 2020); Bruin WB, Taylor L, Thomas RM, Shock JP, Zhutovsky P, Abe Y, Alonso P, Ameis SH, Anticevic A, Arnold PD, Assogna F, Benedetti F, Beucke JC, Boedhoe PSW, Bollettini I, Bose A, Brem S, Brennan BP, Buite
- review_bundle_ref
- analysis_bundle:ab-d49e54403ef9
- replication_status
- independently_replicated
- review_package_ref
- analysis_bundle:ab-d49e54403ef9
- source_artifact_ref
- wiki_page:computationalreviewloops-14
- origin_url
- https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_14_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
These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.
- raw_fields
{ "n": null, "doi": "10.1038/s41398-020-01013-y", "claim": "These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.", "cite_key": "Bruin2020", "evidence": " (, 2020); Bruin WB, Taylor L, Thomas RM, Shock JP, Zhutovsky P, Abe Y, Alonso P, Ameis SH, Anticevic A, Arnold PD, Assogna F, Benedetti F, Beucke JC, Boedhoe PSW, Bollettini I, Bose A, Brem S, Brennan BP, Buite", "effect_size": null, "text_access": "fulltext", "study_system": "Structural neuroimaging biomarkers for obsessive-compulsive disorder in the ENIGMA-OCD consortium: medication matters.", "source_cluster_id": "cluster_13", "replication_status": "independently_replicated", "claim_source_sentence": "These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.", "replication_evidence_dois": [ "10.18553/jmcp.2026.32.4.507", "10.31234/osf.io/fnt5z_v1" ], "effect_size_source_sentence": "LOSO-CV led to lower classification performance; 0.51 (95% CI = 0.4–0.62; p corrected = 1) to 0.54 (95% CI = 0.42–0.65; p corrected = 1) AUC with relatively high variance across folds (SD = 0.07–0.11) and no classifiers surviving multiple comparison corrections." }- source_refs
[ "paper:paper-396f794ce8df" ]
- source_span
These results indicate that medication use is associated with substantial differences in brain anatomy that are widely distributed, and indicate that clinical heterogeneity contributes to the poor performance of structural MRI as a disease marker.
- evidence_refs
[ { "ref": "paper:paper-396f794ce8df" } ]- 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" }