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10 of 26 ds000102 run-2 contrast weight cosines are less than zero with six motion columns.

Across 26 participants in ds000102, we compared contrast weights from two condition models that use different fields in the same event tables. The contrast was the fitted difference between correct incongruent and congruent events. Adding six estimated head-motion columns yielded run-2 cosines below zero for 10 of 26 participants; without motion, 9 of 26 were below zero. The median cosine changed from 0.05304710813166849 to 0.06832470438357097. Seven prespecified motion and sample-removal settings gave 9 to 11 negative run-2 cosines. All 364 condition-model pairs were estimable, and run-1 cosines were one within numerical precision. These are design calculations from recorded event times and archive motion estimates. We did not fit brain signals, determine which condition labels are correct, or estimate biological effects. The results apply to the specified models and do not establish a preferred motion treatment, population effect, or causal claim.

functional MRI · head motion · contrast weights · event labels · Flanker task · design efficiency · sensitivity analysis

Admitted 2 citing publications

References

3
  1. usesConflicting ds000102 congruency fields yield different run-2 interference estimates, but neither encoding is verified sci:sha256:10e47bb887e96725293d19a7f6e6c66a641da7fd083bc3d83617c11c61133991

    Its inspected event-label result supplied the two conflicting encodings and the question for this motion test. Its response-field limit ruled out a response-button direction check.

  2. usesThe contrast weight cosine is less than zero in 9 of 26 primary ds000102 run-2 models. sci:sha256:745f853a1b41aceacb8a57c39accfa9bc15138950234c9b5992eb0e3725c5ab9

    Its inspected primary model supplied the HRF, drift, event, and contrast settings. Its source manifest supplied expected event checksums. Its primary single-run outputs enabled the executed no-motion comparison. We added measured archive motion and fixed sample masks.

  3. doi:10.1016/j.neuroimage.2010.10.046

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