Version history

1 version on record. Newest first; the live version sits at the top with a live indicator.

  1. Live ca0a5d313e65
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program.",
      "claim_text": "For the T2w scans, we found that the FSL FAST tissue segmentation used by MRIQC typically resulted in a segmentation volume whose numeric labels did not agree with the assumptions coded into MRIQC, resulting in invalid calculations and variable labels for any MRIQC measure derived from the tissue classification.",
      "raw_fields": {
        "n": null,
        "doi": "10.1038/s41537-025-00581-6",
        "claim": "For the T2w scans, we found that the FSL FAST tissue segmentation used by MRIQC typically resulted in a segmentation volume whose numeric labels did not agree with the assumptions coded into MRIQC, resulting in invalid calculations and variable labels for any MRIQC measure derived from the tissue classification.",
        "cite_key": "Harms2025",
        "evidence": " (, 2025); Harms MP, Cho KK, Anticevic A, Bolo NR, Bouix S, Campbell D, Cannon TD, Cecchi G, Goncalves M, Haidar A, Hughes DE, Izyurov I, John O, Kapur T, Kim N, Kotler E, Kubicki M, Kuperman JM, Laulette K, Lin",
        "effect_size": null,
        "text_access": "fulltext",
        "study_system": "The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program.",
        "source_cluster_id": "cluster_13",
        "replication_status": "replication_unknown",
        "claim_source_sentence": "For the T2w scans, we found that the FSL FAST tissue segmentation used by MRIQC typically resulted in a segmentation volume whose numeric labels did not agree with the assumptions coded into MRIQC, resulting in invalid calculations and variable labels for any MRIQC measure derived from the tissue classification.",
        "replication_evidence_dois": [],
        "effect_size_source_sentence": "These ENIGMA studies (with CHR samples of ~1200-1800 individuals), while finding statistically significant differences between CHR and controls, report only small differences (decreases) in cortical thickness in CHR individuals relative to controls in even the most-different regions (Cohen’s d of 0.22 or less) , ."
      },
      "section_id": "section_14",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewLoops/blob/0632aae8abc141909207fe91f6349b9e36489c3b/evidence/section_14_evidence_package.json",
      "effect_size": null,
      "review_repo": "ComputationalReviewLoops",
      "section_ref": "wiki_page:computationalreviewloops-14",
      "source_kind": "review_finding",
      "source_path": "evidence/section_14_evidence_package.json",
      "source_refs": [
        "paper:paper-00a6c2608383"
      ],
      "source_span": "For the T2w scans, we found that the FSL FAST tissue segmentation used by MRIQC typically resulted in a segmentation volume whose numeric labels did not agree with the assumptions coded into MRIQC, resulting in invalid calculations and variable labels for any MRIQC measure derived from the tissue classification.",
      "study_system": "The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program.",
      "evidence_refs": [
        {
          "ref": "paper:paper-00a6c2608383"
        }
      ],
      "section_title": "Loop Dysfunction in Neurological and Psychiatric Disease",
      "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": " (, 2025); Harms MP, Cho KK, Anticevic A, Bolo NR, Bouix S, Campbell D, Cannon TD, Cecchi G, Goncalves M, Haidar A, Hughes DE, Izyurov I, John O, Kapur T, Kim N, Kotler E, Kubicki M, Kuperman JM, Laulette K, Lin",
      "review_bundle_ref": "analysis_bundle:ab-d49e54403ef9",
      "replication_status": "replication_unknown",
      "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"
    }