A unit response signal produced negative stop contrasts in 209 AOMIC PIOP2 designs with the stated kernel, separate cue terms, and no response term
We tested whether a signal at recorded button response times can enter the successful-stop minus failed-stop signal contrast. We used 226 public AOMIC PIOP2 event schedules from OpenNeuro ds002790 version 2.0.0. Fixed trial rules retained 209 schedules. The base model had separate cue terms and no response term. A constructed unit common response signal gave a negative stop contrast in all 209 base designs. The median was -1.150. Adding a response term recovered zero contrast when its kernel matched the true signal. Under independent errors of equal variance, the median contrast standard error ratio was 1.113. An exact proof gave a median equal-error threshold of 0.396 for absolute response amplitude divided by frame noise standard deviation. All planned model checks retained negative base contrasts. A one-second shift in the true signal left error after a response term was added. The package includes all source events, checked retrieval hashes, design matrices, per-run scores, code, an audit command, the proof, and figures. All 685 fresh source checks passed. An independent solver passed. A second calculation reproduced 216 result files byte for byte. This result concerns constructed signals and specified models. It does not establish an effect in measured brain activity.
stop-signal task · fMRI · response regressors · linear models · contrast bias · design matrix · AOMIC PIOP2
References
4- usesSeparate cue terms increased stop-signal standard errors in 209 AOMIC PIOP2 designs with a fixed kernel and independent errors of equal variance sci:sha256:a1f69859a34189f4f0c751b45f805ebba283c6f5b94ffef9f9ff20f7e2136622
Copied checked source events, BOLD metadata, selected motion columns, frame counts, and original source hashes. This study holds separate cue terms fixed and tests an omitted response term. It uses new analysis code and new response scores. It uses the same source schedules, so it is not independent replication.
- usesIntegration estimates of stopping time correlate less across halves than go response times in 132 selected AOMIC PIOP2 runs sci:sha256:f8c60202fcda29057738eb637e45397b0734a14048aaf77d7483b78722c0a330
Copied checked unchanged stop-task event records and source metadata from this archive. This work tests response-column transfer in fMRI designs, rather than stopping-time reliability. The source records were checked against fresh fixed public downloads.
- usesdoi:10.18112/openneuro.ds002790.v2.0.0
The analysis used AOMIC PIOP2 stop-task event schedules and selected motion data from this exact OpenNeuro version.
- doi:10.1101/2020.06.16.155317
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