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Separate event-code fits reduced later fNIRS difference error in 12 ds007420 adults with three-second windows and one nearer channel

We tested separate fits for six motion event codes against one pooled fit. The test used all 12 adults in OpenNeuro ds007420 version 1.0.5. Each target used one nearer channel as its predictor. Both methods used the first 12 events. The last 12 events tested the models. With three-second windows, separate fits reduced error in all 12 adults. The mean error ratios were 0.76767 and 0.73931. Each ratio used target difference energy as its denominator. The mean gain was 0.02836, with a 95% person-bootstrap interval from 0.01656 to 0.04275. The one-second test left the benefit uncertain. The result does not show preservation of brain signals. The package contains compact motion data, code, source hashes, results, figures, and raw retrieval instructions.

functional near-infrared spectroscopy · motion artifacts · signal prediction · event-code models · calibration · optical differences

Admitted 1 citing publication

References

3
  1. usesMotion calibration reduced later motion error in fNIRS models with one nearer channel for all 12 tested adults sci:sha256:42ae432b0f1c3a6b01df9609c5b91d96397d30be1ee02488f914814af3a09fcd

    This study used the archived motion differences, sorted event ledger, channel map, and source identities. The new analysis compared pooled fits with separate event-code fits. Fresh raw downloads verified the reused motion arrays and channel geometry.

  2. usesdoi:10.18112/openneuro.ds007420.v1.0.5

    The analysis used the ds007420 version 1.0.5 motion recordings from all 12 adults.

  3. doi:10.1117/1.NPh.10.2.025007

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