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Subtracted EFC gives 81.33% sensitivity in MR-ART HM2 to HM1 transfer with a 95% training target.

This study tested whether an EFC threshold trained to reach at least 95% sensitivity for grade-3 scans in one MR-ART head-motion condition retained that sensitivity in the other condition, and whether subtracting each participant’s standard-scan EFC changed transfer results. The analysis used supplied MRIQC 0.16.1 metrics and expert grades from OpenNeuro ds004173 version 1.0.2: 436 scans from 148 participants, with 278 motion scans graded 2 or 3. For each target participant, the threshold was the (floor(P/20) + 1)-th increasing grade-3 training score after excluding that participant, where P is the number of positive training observations. Across-condition sensitivity for subtracted EFC was 61/75 (81.33%) from HM2 to HM1 and 121/122 (99.18%) from HM1 to HM2; the HM2-to-HM1 result was below the 95% training target. The 5,000-draw participant bootstrap gave pointwise limits of 0.718739–0.948718 for that sensitivity. Equal-condition mean sensitivity changed from 0.931803 for raw EFC to 0.902568 for subtracted EFC, while mean specificity changed from 0.226117 to 0.353621; both intervals for changes included zero. These results apply to this rule and sample. They do not establish performance in new participants, clinical accuracy, or a cause for the transfer difference. The source study used one scanner and protocol, and this analysis did not measure motion or recalculate metrics from images.

MR-ART · MRI quality · entropy focus criterion · threshold transfer · sensitivity · specificity · standard scan subtraction · participant bootstrap

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References

6
  1. usesStandard-reference subtraction improves EFC but reduces CJV condition-matched grade ranking in MR-ART sci:sha256:5246205abcf30a204e7b86cba2a1fa9d96a7077d08902ee630dba181fa75a49d

    This result supplied standard scan subtraction, the grade-2/3 comparison, and the same-data EFC selection. The new rule tests a 95% training sensitivity target.

  2. MR-ART EFC threshold transfer gives mean balanced accuracy of 0.726553 after standard scan subtraction sci:sha256:3933dd59e49345a6f16e472fc233be11e0accef43de484eb40a0ac6dae4d94e3

    [Legacy relation: reproduces] The new code gives the same four EFC transfer point count tables for the maximum-balanced-accuracy rule. Its uncertainty and other metrics were not reproduced.

  3. usesCJV, EFC and total SNR ranked severe MR-ART scans above usable scans within motion instruction sci:sha256:5e33cf8a6c254e764080124fa055169f57a5cb8adeacd045e16da7fc7f6a1d49

    This record supplied public source locations, fixed file checksums, and metric directions for the new data retrieval.

  4. Subtracting standard scan EFC increases HM1 balanced accuracy and decreases HM2 balanced accuracy in MR-ART leave-one-participant-out validation. sci:sha256:b4ae455173df30614d7232a12837b8276f10e618238bcbe6f1f814f4b3ce99e6

    [Legacy relation: reproduces] The new code gives the same four local EFC point count tables for the maximum-balanced-accuracy rule. Its uncertainty and other metrics were not reproduced.

  5. usesdoi:10.18112/openneuro.ds004173.v1.0.2

    The analyzed metric and grade tables are from OpenNeuro ds004173 version 1.0.2, pinned to commit fb45b349f21faa4b65ad23089788bbea30d07d74; their five source-file hashes are recorded in the package.

  6. doi:10.1038/s41597-022-01694-8

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