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Stored SEEG channel means gave no clear change-of-mind prediction gain with linear models in later trials from 21 patients

We tested public SEEG from MetaRDK, OpenNeuro ds006253 version 1.0.3. Models used earlier trials to predict released change-of-mind labels in later trials. The behavior model used stimulus strength, movement latency, trial position, and previous-trial values. The selected procedure could add stored channel means from the 0.4 seconds before movement. Across 21 patients, the equal-patient mean log-loss gain was -0.000442 nats per trial. The 95 percent patient bootstrap interval was [-0.002457, 0.001659]. The fixed test did not establish a mean gain. The patient bootstrap interval included zero. The result is an offline test of processed signals and released labels.

stereoelectroencephalography · change of mind · prediction · cross-validation · high-gamma activity

Admitted 1 citing publication

References

4
  1. usesA fixed SEEG high-gamma model increased mean confidence prediction error across trial blocks in 17 patients sci:sha256:a82d0f18d33d80eff73f5cfc9ea22ee95b2d84706a1fa4fa872c7af43045c180

    We used the source behavior tables, pinned signal byte layouts, and restricted static parser. A new extraction used broader trial rules for change-of-mind prediction.

  2. usesMetaRDK sub-11 neural and behavior trial ends differ by more than two samples at 512 Hz sci:sha256:5a4c2d5084c87905d0837cd0843143abaf663cda9a5eb2184501d9fa21aa5481

    The prior timing audit found incompatible signal and behavior end times for sub-11. We excluded this patient before extraction and target model fitting.

  3. usesdoi:10.18112/openneuro.ds006253.v1.0.3

    The analyzed public source is MetaRDK, OpenNeuro ds006253 version 1.0.3; this version-specific release supplies the processed SEEG and behavior data.

  4. supportsdoi:10.1038/s41467-025-61744-8

    The source study supplies the task, signal-processing, and trajectory-based change-of-mind methods described as limits on interpreting the released signals and labels.

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