Diagonal weight refitting showed no clear net call gain in eight SEEG patients
In 86 stimulation sites from eight patients, a rule that refits diagonal noise weights had a net call change of -1.30 percentage points against a rule that fits weights once. The paired patient bootstrap interval was -4.30 to 1.29 percentage points. Net calls equal after-pulse calls minus before-pulse calls. The test used five early calibration pulses and five later test pulses. The rank cutoff was 1/6. These reused clinical data do not establish a 5% false call rate or a neural response label.
SEEG · conformal ranking · neural response detection · noise weighting · brain interfaces
References
3- usesA fixed spatial noise rule gave no clear 20 to 500 ms AUC gain after five early pulses in eight SEEG sessions sci:sha256:48f93098d9fe4ee439817f49e745f4c586103d8b79d4985cbb51b1bf7dc5d020
Uses the selected SEEG cohort, exact compact source products, source metadata, and earlier source audits.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The analysis uses the SEEG cohort and source products from OpenNeuro ds004696 version 1.0.1.
- usesdoi:10.1523/JNEUROSCI.2201-22.2023
This is the source study associated with the OpenNeuro SEEG recordings analyzed here.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesContact selection refitting reduced background and pulse calls in eight SEEG patients at 4–30 Hz with five controls
This study uses the related question about reusing background windows for fitting and rank cutoffs, and its conditional symmetric rank argument. It tests discrete contact selection with energy scores. It does not use that study's numerical inputs or claim an independent cohort replication.
- usesContact selection refitting reduced background and pulse calls in eight SEEG patients at 4–30 Hz with five controls
This study uses the related question about reusing background windows for fitting and rank cutoffs, and its conditional symmetric rank argument. It tests discrete contact selection with energy scores. It does not use that study's numerical inputs or claim an independent cohort replication.