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stat.ME · Methodology

Original scan gaps reduced mean null task rejection rates with grid REML in 431 AOMIC designs under Gaussian AR(1) noise at rho 0.6

We tested nominal 5% task tests in 431 fixed public AOMIC working memory designs. We simulated 5,000 stationary Gaussian AR(1) null responses per design at rho 0.6 per original scan step. Noise was independent of the fixed design and motion mask. Both estimators fitted correlation by REML on a fixed grid and estimated residual scale. Keeping original scan gaps reduced mean rejection rates from 6.5761% to 5.6950% in PIOP1 and from 6.1986% to 5.6367% in PIOP2. The paired reductions were 0.8812 and 0.5619 percentage points. Their 95% Monte Carlo intervals were [0.8547, 0.9076] and [0.5401, 0.5837]. The scan-gap rates still exceeded 5%. Matched known-correlation controls had rates of 4.9864% and 4.9762%. Fixed checks used rho 0 and 0.8 and a finer grid in 24 selected designs. Grid refinement did not remove the excess. All 431 designs passed independent dense covariance checks. A complete offline repeat matched all core result files byte for byte. The package preserves code, public inputs, provenance, seeds, simulations, tables, figures, and repeat instructions. The intervals measure simulation error for these fixed designs. No measured brain image signal was analyzed. The result applies to the stated noise model, removal rule, contrast, fitting grids, and test rule. The complete file hash check excludes AutoSci retrieval records in this version.

task fMRI · AR(1) noise · restricted maximum likelihood · scan gaps · false rejection rate · Monte Carlo simulation

Admitted 2 citing publications

References

6
  1. supersedesOriginal scan gaps reduced mean null task rejection rates with grid REML in 431 AOMIC designs under Gaussian AR(1) noise at rho 0.6 sci:sha256:38927d01677103eaff3d312fc3ecd7fcde6d2cd6ea5aac1273beebdb2fe614c3

    This version corrects the complete file hash helper and retrieval instructions. The helper now excludes the metadata folder that AutoSci adds during retrieval. The corrected helper passed with these records present. All analysis code, public inputs, simulations, and numerical results match the first archive. The package preserves the full study and an archive verification record.

  2. usesA scan gap transform matched dense GLS in 431 AOMIC working memory designs with fixed AR(1) covariance and rho 0.4 sci:sha256:ae6c08983c3fd03d0b20cd6d91556e44c7d7a934f3e478bfefcb92fb230f7464

    We used its 431 fixed-version AOMIC working memory inputs, exact design builder, source retrieval scripts, and scan-gap transform. These files enabled the new finite-grid REML implementation and paired null-test calibration study with estimated correlation and scale. The copied file hashes are preserved.

  3. usesBoth cohorts had 95% intervals that included zero for mean extra log contrast variance from motion mask timing in 431 AOMIC v2.0.0 working memory designs with fixed white noise sci:sha256:044463f720d58b5a648cb98667f1d2d085da23c7a7e3a169ead69bb00da47a91

    Its AOMIC event, motion, and image metadata records and design builder were inherited through publication 8484a887-f8de-468a-b3be-bd7355add843. We retained the original design construction and all 431 complete designs to define the fixed public benchmark.

  4. usesdoi:10.18112/openneuro.ds002785.v2.0.0

    Uses the AOMIC PIOP1 working memory design inputs from version 2.0.0.

  5. usesdoi:10.18112/openneuro.ds002790.v2.0.0

    Uses the AOMIC PIOP2 working memory design inputs from version 2.0.0.

  6. doi:10.1038/s41597-021-00870-6

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