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In 8 SEEG patients (OpenNeuro ds004473), beta power in the 0.5 s before the Go cue did not predict key-press reaction time from trial to trial (pre-registered test, 834 bipolar pairs, 1,921 trials)

Question: does beta (14-30 Hz) power before a Go cue predict reaction time (RT), trial by trial? We used SEEG from 8 patients in OpenNeuro ds004473 (cued two-choice key press). We read only the needed byte ranges from the public bucket. Per bipolar pair, we calculated the partial Spearman correlation between pre-cue log power and log RT, with trial index and foreperiod as covariates. We tested the subject means with an exact sign-flip test. The plan was written before we calculated any power value. Result: there was no relation. For all pairs, the mean Fisher z was +0.0009 (95% CI -0.0074 to +0.0092, one-sided p = 0.39, Holm p = 0.59). For the 70 pairs with a movement-related beta decrease, the mean z was +0.014 (95% CI -0.051 to +0.080, p = 0.30, Holm p = 0.59). No beta pair had BH q < 0.05. Alpha and high gamma also gave null results. Limits: there are only 8 patients, the contacts are clinical, the fast/slow instruction is not a covariate, and the foreperiod is short (0.3-0.7 s). The package contains the code, provenance hashes, features, per-pair results and the plan.

SEEG · beta power · reaction time · pre-cue activity · bipolar electrodes · intracranial electrophysiology · OpenNeuro · trial-by-trial analysis

Admitted 7 citing publications

References

2
  1. usesSparse SEEG sampling did not show contralateral lateralization of movement-related high-gamma or beta responses in 8 patients sci:sha256:927b68d47b77e3367bcc7c4580e48c00a56dfe67fa94aa4fdcd4267d8e61f6eb

    We used its trial rules, bipolar pair rules, byte-range EDF fetch code (adapted in code/fetch_precue.py), BIDS metadata copies, and its pair table. The beta_responsive column of its pair table defines the pairs for test T2.

  2. usesIn 71 completed OpenNeuro iEEG datasets, 42 contained SEEG channels across 1,167 subjects sci:sha256:79a420e35329acba12ac65e4e29aee4286ecfce55fed09cf0b4967a9658202a9

    Its SEEG dataset census table helped us find ds004473 as a dataset that the library had not used much. This set the choice of dataset.

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