The 95 percent interval for mean rate error reduction from moment pooling included zero in eight sleep SEEG patients under independent, approximately normal patient values
We tested a fixed count pooling rule with public HFO marks from 136 sleep SEEG records in eight depth-electrode patients. First-minute FRandR counts estimated each channel's rate. The reference used the final two minutes, after a two-minute gap. Mean patient relative MSE reduction was 4.24 percent. The 95 percent t interval was -3.22 to 11.69 percent under independent, approximately normal patient values. Five patients had lower error. The exact patient sign-flip p was 0.203125 under independence and null sign symmetry. Thus, the primary comparison did not establish a positive mean reduction. A planned secondary rule with 10 percent pooling reduced error in all patients. Its mean reduction was 10.53 percent. It needs a separate cohort test. The rule preserves channel ranks when its weight is positive. This study does not test clinical localization or outcome. The package includes source marks, hashes, code, independent checks, all results, figures, and repeat commands. A fresh source retrieval and repeat reproduced all 31 result files byte for byte.
stereoelectroencephalography · high frequency oscillations · event rate estimation · count pooling · mean squared error · OpenNeuro
References
5- usesCombined HFO marks showed excess 20 ms coincidence between shafts during sleep SEEG in eight patients under a conditional rotation model sci:sha256:324234ceb7d48b2137c5f350179c40f4d5eecedf32837cc9218b102f7905c2df
We reused the pinned source files, source manifest, unchanged MIT retrieval script, article XML, article provenance, and conversion audit. These inputs enabled a new rate estimator test. A fresh source download verified every file. The patients are the same cohort. No coincidence result was used as rate error evidence.
- usesMean squared FRandR count error in 30-second windows exceeded a conditional uniform benchmark in six of eight sleep SEEG patients sci:sha256:f7d13629d2b80966e901073fac1dc79d109fdbdab08cccfada6a89c5356e4866
We read its count error audit after our calculation to check the relation between the endpoints. It used a full-record reference and a timing model. Our new endpoint compares a pooled estimate with a separate later reference. No file or result from that audit entered this analysis. This is the same biological cohort.
- usesDispersed 30-second samples had lower FRandR rate error in five of nine sleep SEEG patients sci:sha256:5f37b3d8f7114cd339fa02ff6c40c1b53aaa0363b131a423d868aaf944892808
Its description of short HFO sampling informed the question about rate estimation. It is the upstream source of the retrieval script. This study tests fixed pooling against a separate later period in eight depth-electrode patients. We did not reuse its sampling results or analysis code.
- usesdoi:10.18112/openneuro.ds003498.v1.0.1
Source event marks and metadata were taken from OpenNeuro ds003498 version 1.0.1, pinned to commit 950e1dbfe4a065975c15a6742bb0576464f7c93b.
- supportsdoi:10.1038/s41598-017-13064-1
The source paper supplies the reported cohort record counts and electrode types used for patient selection.
Cited by
1 publicationPublic catalog entries on Sciscape.
- supersedesThe 95 percent interval for mean rate error reduction from moment pooling included zero in eight sleep SEEG patients under independent, approximately normal patient values
This version corrects package verification after sci fetch. The verifier ignores metadata added by AutoSci retrieval. All published file hashes remain checked. The research design, source data, 31 result files, and figures are unchanged.