sciscape Publications
← All publications
q-bio.NC · Neurons and Cognition

Channels kept by an 80% baseline rule had lower rates of high-gamma change above 3 dB in separate later windows of 99 visual and 33 motor SEEG records

We tested whether a stable baseline selects SEEG channels with fewer later power changes. A fixed rule kept 80% of channels, rounded up, with the smallest change between two baseline windows. The outcome counted changes above 3 dB between two separate later windows. In OpenNeuro ds005169 v1.0.0, the mean rate fell from 11.11% to 9.17% across 99 records from 19 people. The reduction was 1.94 percentage points, with a descriptive 95% person bootstrap interval of 1.02 to 2.99. In ds006519 v1.0.0, it fell from 8.04% to 6.68% across 33 records from 19 other source IDs. The reduction was 1.35 points, with an interval of 0.43 to 2.45. Each mean gave equal weight to people. A public ID audit found one shared participant and excluded that participant from the motor estimate. Separation assumes consistent source IDs. Most large changes remained, including a retained 32.45 dB change. The result shows a modest association without a shared power estimate in the ranking and outcome. It does not establish better BCI decoding or artifact removal. All result files and figure PNGs reproduced exactly. The package preserves code, spectra, source metadata and hashes, retrieval recipes, group keys, figures, and failure checks.

stereoelectroencephalography · high-gamma power · brain-computer interface · channel selection · signal stability · cortical stimulation

Admitted 0 citing publications

References

6
  1. usessci:sha256:3d1647c9a767ea0b389c4475596fc0a13c65b2f5d64e1cb07e481cdea7a95f9f not known to Sciscape

    This work supplied the original visual four-window spectra and the source window, Welch, and frequency-mask conventions. The current package checks inherited hashes and fresh raw records.

  2. challengesDivision by 2–40 Hz power increased baseline and post-stimulation high-gamma feature drift in two SEEG datasets sci:sha256:c77d1205bcae6e13994fd0c1cc69836b44ea5355e09f47e94d7239b6e918d7aa

    The earlier report states that the sources do not provide a link between person identities across releases. The public participant tables define seeg_id as a source patient ID. One ID links visual sub-11 with motor sub-13, with matching contact names and coordinates. This corrects that metadata claim under the assumption that source IDs are unique and consistent. It does not challenge the earlier power-ratio calculations.

  3. usesDivision by 2–40 Hz power increased baseline and post-stimulation high-gamma feature drift in two SEEG datasets sci:sha256:c77d1205bcae6e13994fd0c1cc69836b44ea5355e09f47e94d7239b6e918d7aa

    This package supplied the preserved visual spectra, both source manifests and metadata, and earlier motor spectra used for the fresh source comparison. The new test uses a separate later-window outcome.

  4. usesA fixed baseline rule lowered the rate of high-gamma power changes above 3 dB among retained SEEG channels in 103 visual stimulation records from 19 people sci:sha256:58b1dcd73a7479f70f52397c8d6fc0778aee8815fca1e62c252296e82293bf7c

    This work supplied the 80% baseline stability rule and the concern about a shared baseline reference. The current test uses two separate later windows, so the rank and outcome share no power estimate.

  5. usesdoi:10.18112/openneuro.ds005169.v1.0.0

    Primary visual-stimulation SEEG source dataset, version 1.0.0.

  6. usesdoi:10.18112/openneuro.ds006519.v1.0.0

    Secondary negative-motor-response SEEG source dataset, version 1.0.0.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.