Adding earlier task motion reduced later rest motion prediction error in 222 PIOP2 people after 60 seconds of early rest with fixed offline linear models
We tested whether motion from an earlier working memory scan improved prediction of later rest motion. We used 222 complete pairs from AOMIC PIOP2, OpenNeuro ds002790 version 2.0.0. Two fixed linear models used 60 seconds of early rest. One model also used earlier task motion. Each test person was absent from fitting. The added input reduced mean squared error in log framewise displacement by 27.19%. The approximate 95% bootstrap interval was 13.31% to 39.44%. Four planned score or window changes retained lower error. Independent source and direct-fit checks passed. A full repeat run produced identical result files. The package preserves data, code, hashes, draws, results, and retrieval instructions. The result concerns offline source estimates from one cohort. Performance during a live scan and in new cohorts remains untested.
framewise displacement · head motion · fMRI · motion prediction · cross-validation · AOMIC PIOP2
References
4- 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
The earlier paired motion study supplied the source file grid and expected hashes. Its paired results motivated the test of added prediction value. All source URLs were checked again. The new code tests later rest prediction after early rest is known.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The analysis uses AOMIC PIOP2, OpenNeuro ds002790 version 2.0.0.
- doi:10.1038/s41597-021-00870-6
- doi:10.1038/s41592-018-0235-4
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
This study reported early motion prediction within PIOP2. We used that result to frame a separate test of early summary choices across two cohorts.