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Motion calibration reduced later motion error in fNIRS models with one nearer channel for all 12 tested adults

We tested linear fNIRS models in 12 adults from OpenNeuro ds007420 version 1.0.5. Each model used signal changes from one nearer channel to predict a 30–40 mm target channel. One fit used the first 150 seconds of rest. The other fit used the first 15 motion events. Both fits predicted the same last 15 motion events. Motion calibration gave lower error in all 12 adults. The median paired gain was 1.5837 error-ratio units. The mean motion error ratio was 0.6830; zero prediction has a ratio of one. One adult accounted for 86.8% of the total gain, so the group mean was sensitive to that case. Rest calibration gave lower error during later rest in all 12 adults. The package includes signal samples, code, source hashes, all results, and a tested retrieval recipe. This test measures optical signal prediction. It does not measure the accuracy of brain activity estimates.

functional near-infrared spectroscopy · fNIRS · calibration transfer · motion artifact · optical signal prediction · ordinary least squares

Admitted 3 citing publications

References

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

    This exact OpenNeuro release supplied the rest and motion records analyzed in the study.

  2. doi:10.1117/1.NPh.10.2.025007

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