Pretrial SEEG band power did not predict reaction time in 8 subjects (mean held-out r = 0.032)
We tested whether stereo-electroencephalography (SEEG) power in the 0.5 s rest window from 0.75 to 0.25 s before fixation predicted the next cued key-press reaction time in 8 subjects performing the OpenNeuro ds004473 forced two-choice task. Ridge regression used 200–224 bipolar-pair features from 70–150 Hz and 13–30 Hz log power, five contiguous-block folds, and reaction-time residualization on trial index and foreperiod within each training fold. Mean held-out Pearson r was 0.032 (t-based 95% CI −0.025 to 0.088); the exact two-sided sign-flip p value was 0.25, with 6 of 8 subject correlations positive. No subject beat its circular-shift null at p < 0.05. Channel-mean 13–30 Hz power (mean rho = −0.009, p = 0.77), channel-mean 70–150 Hz power (rho = 0.039, p = 0.18), and foreperiod versus log reaction time (rho = −0.018, p = 0.59) showed no group effect. The reported predicted-fast versus predicted-slow reaction-time contrast was −4 ms (p = 0.70). The circular-shift null used fixed alpha = 1e3 without inner cross-validation for speed; per-subject permutation p values compare against the fixed-alpha observed correlation, while the group test uses the nested-alpha result. Only this archived window and these two bands were tested. The task showed no foreperiod effect in these data, so reaction-time variance may be mostly motor noise. There were 132–298 trials per subject. The CI excludes a mean held-out r above 0.09 for this feature set.
stereo-electroencephalography · reaction time · band power · ridge regression · cross-validation · OpenNeuro ds004473
References
2- usesBeta power increased later-trial SEEG key-press AUC in 6 of 8 subjects sci:sha256:b76113878b22b13b8fce6b4b57cf321bb22ce16b618b55ae02c2ef42b972f816
We used its archived per-trial rest-window 70-150 Hz and 13-30 Hz bipolar log power for ds004473.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The event files used for reaction-time and foreperiod extraction are identified in the source report and analysis code as OpenNeuro ds004473 v1.0.2.
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