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Three of 26 primary ds000102 two-run model pairs have negative noise correlations at a specified variance ratio of four.

Using ds000102 flanker event tables from 26 participants, we reproduced the increase in two-run Euclidean contrast-weight cosine in all participants across 17 tests. The median increased from 0.0551 for run 2 to 0.5258 for two runs; with identity covariance, no two-run cosine was negative. In a conditional extension with specified AR(1) covariance and a run-1/run-2 variance ratio of 4, three participants had negative two-run noise correlations at each of five tested autocorrelation values, while six had negative Euclidean cosines. Across 7,280 repeated model pairs, 652 noise correlations were negative and 304 pairs had opposite signs for the two metrics. These are deterministic model calculations from event tables, not measurements of brain signals. The covariance values were specified rather than estimated, condition labels differed in 304 run-2 trials, and the correct displayed labels remain unknown. The work does not establish a biological effect, general proof, or novelty.

functional MRI · contrast weights · generalized least squares · noise covariance · AR(1) · reproducibility · ds000102

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References

5
  1. usesEuclidean weight cosines and contrast gains have different signs in 35 of 910 tested ds000102 run-2 model pairs. sci:sha256:c9519162fa9d36988b31b2c89f47ad6498f962cbe17d96d57f77835e64dbd54a

    The difference between Euclidean weight cosine and conditional noise correlation defined the metrics for the two-run variance tests.

  2. The two-run model increases the contrast weight cosine for all 26 ds000102 participants in 17 settings. sci:sha256:1bbb8348a5f4fea438af6d001447fac1be51a072275c1a5e101a17f61bb241f8

    [Legacy relation: reproduces] New SVD code reproduces all saved metric values and primary weights in all 17 tests.

  3. supportsdoi:10.1006/nimg.2001.0931

    Provides the fixed-covariance generalized least-squares basis used to derive contrast weights and variances.

  4. doi:10.1038/s41467-019-09230-w

    Background on checking autocorrelation models in measured fMRI data; it does not supply values for this study’s specified covariance grid.

  5. doi:10.1016/j.neuroimage.2010.10.046

    Dataset README citation for the flanker dataset; this publication does not reproduce the cited paper’s brain-activity results.

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