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