Adding log mean working memory FD did not establish lower Raven prediction error from PIOP1 to PIOP2 beyond age, sex, and education
We tested a fixed linear prediction procedure in two public AOMIC cohorts. We trained with 199 PIOP1 people and tested with 222 PIOP2 people. The reference model used age, recorded sex, and education. The added model also used log mean working memory FD. FD means framewise displacement. Each motion score used 120 finite values over a fixed 240 s window at 2 s sampling. Adding motion reduced test mean squared error by 0.117 Raven score squared. The 95% interval was [-0.547, 0.685]. The interval used 10,000 independent person bootstrap draws in both cohorts. Both training models were fit again in each draw. All eight planned secondary intervals also included zero. The test did not establish a prediction benefit. It did not prove equal error or absence of motion bias in brain studies. All 431 fresh source motion tables matched the archive. A separate solver checked all primary bootstrap fits. A complete source replay reproduced every result. The package preserves data, code, source records, draws, figures, and reproduction instructions.
framewise displacement · working memory · Raven score · prediction error · AOMIC · cross-cohort prediction
References
6- usesRest had more FD values above 0.2 mm than working memory in 222 PIOP2 people over matched 240 s windows at 2 s sampling sci:sha256:60eec61c792e9f589bc8efbd9ffadd66a503ba8f9fa75f0d809361996cfa5208
This publication supplied the selected working memory motion values, scan metadata, fixed source records, and source lineage. We checked all archive hashes and retrieved every used source file again.
- usesdoi:10.18112/openneuro.ds002785.v2.0.0
The analysis used working memory motion values, scan metadata, and participant records from AOMIC PIOP1, OpenNeuro ds002785 version 2.0.0.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The analysis used working memory motion values, scan metadata, and participant records from AOMIC PIOP2, OpenNeuro ds002790 version 2.0.0.
- supportsdoi:10.1038/s41597-021-00870-6
This data paper describes the AOMIC cohorts and Raven measure used to define and characterize the source samples.
- doi:10.7554/eLife.64058
- supportsdoi:10.1016/j.neuroimage.2019.116041
This study supports the stated limitation that image-registration motion estimates can include respiratory effects.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesEarly mean motion did not establish lower error than counts in a fixed offline PIOP1 to PIOP2 test
We used its exact working memory motion cells, scan metadata, and source manifests. We checked all source files again and wrote new analysis code.