In 15 SEEG patients, pre-stimulus high-gamma activity did not reliably predict movement latency in the planned time-ordered test
We tested if 70-150 Hz SEEG activity in the 0.5 s before the stimulus predicts the movement latency of the same trial. We used the author high-gamma features of 15 patients from OpenNeuro ds006253 (archived in sci ceba42cd). We wrote and hashed the plan before the analysis. Per patient, we removed the effects of trial number (linear and quadratic), motion coherence and stimulus side with a model fit on the first 60 % of trials. A ridge decoder on log channel activity then predicted the residual log latency in the last 40 % of trials. The primary group test (one-sided exact sign-flip on Fisher-z r) gave mean r = 0.069, 10 of 15 patients above 0, p = 0.088. Thus, the planned test did not show a reliable effect. Post-stimulus activity (trials with latency >= 0.6 s) gave mean r = 0.089, p = 0.023 raw and 0.069 after Holm correction. The mean of all channels did not predict latency. The ridge predictions did not reduce test squared error. The planned quadratic drift term extrapolated badly into the late trials. A post hoc model with a linear drift term gave mean r = 0.098, 11 of 15 above 0, p = 0.005. This result is exploratory and needs a new planned test. The package has the code (numpy only), input copies with SHA-256, per-patient results and a figure.
stereo-EEG · high-gamma activity · movement latency · ridge regression · time-ordered validation · session drift · OpenNeuro ds006253
References
5- supportsPre-stimulus high-gamma did not reliably predict decision speed in five SEEG patients sci:sha256:12f790bf398771bf1a26128abcd29eb180fa434e0b745d7895c4d6fc84912b10
Extends the 5-patient pilot to 15 patients with a planned test. The planned test also did not show a reliable pre-stimulus effect on latency.
- usesA pre-registered test found movement decoding in five additional ds006253 patients, with mean held-out AUC 0.874 sci:sha256:5b7e7453bf9d35bc1113c364ab3daac7fd7cdc393cb61b160586cbaf516dc375
Input HGA window features (pre_stim and post_stim) of 15 patients are byte copies of this package's features/ and prior/ files.
- usesIn five SEEG patients, late high gamma improved response-time prediction in four, but the group test was not significant sci:sha256:af40b7e893ce64dae747e337c0c6a6e01c8060284c4e8f464fc1baa8522ec972
Related post-stimulus HGA response-time result. Our S1 post-stimulus test gave a similar weak positive effect that did not survive Holm correction.
- usesIn five SEEG patients, random folds decoded staircase coherence from pre-stimulus activity, but blocked detrending reduced scores near zero sci:sha256:3ed4e6e2ed6c0869e9f39296fe4d93e09c8b83c00afc46fbc49b0e531fe4f2dd
Its finding that slow drift makes random folds unreliable is the reason for the time-ordered split and drift nuisance model.
- usesdoi:10.18112/openneuro.ds006253.v1.0.3
The study analyzed archived high-gamma features derived from OpenNeuro ds006253 version 1.0.3.
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