Post-pulse variation gave lower loss for separate 100 to 500 ms SEEG repeat gaps in seven selected patients after fixed correction and time mean removal
We tested whether pre-pulse variation can forecast the gap between separate SEEG response averages. The data came from OpenNeuro ds004696 version 1.0.1. The fixed selection had seven patients, 80 stimulation groups, and 1,516 contact-group rows. Each split used four pulses to estimate variation and two other sets of three pulses to measure a repeat gap. The response window was 100 to 500 ms. Each pulse had its time mean removed within each window. All 2,100 distinct splits were tested after fixed source correction and 45 Hz filtering. The loss was log(V) + D/V for forecast V and squared gap D. Post-pulse variation gave lower loss in all seven patients. The mean gain was 1.049, with a conditional 95 percent patient interval of 0.452 to 1.877. The exact two-sided p value was 0.015625 under patient independence and null sign symmetry. Pulse order, contact medians, local subtraction, and filter checks kept the direction. Pre-pulse variation gave lower loss for pre-pulse gaps. A proof shows that matched mean forecasts and mean gaps are equal by design, but lower loss is not forced. The source correction uses all exported pulses. The result does not state coverage for a true response or accuracy in new patients. The package preserves data, code, source records, results, and repeat instructions.
SEEG · electrical brain stimulation · repeat response · forecast loss · within-patient variation · intracranial EEG · variance forecast · patient bootstrap
References
5- usesFive pulses gave smaller 100–500 ms peak gaps than two pulses in seven limbic SEEG patients after fixed correction and 45 Hz filtering sci:sha256:1a90f67f4b64d631579af9d6d0f5ba2889176ab966fd947fa80e825719fa3389
This study keeps the removal of stimulation-shaft contacts and the fixed 45 Hz voltage-window selection, as preserved in the immediate parent records.
- usesFive pulses increased contact rank agreement in seven limbic SEEG patients after fixed reference correction sci:sha256:fb9ca7f970f4224dd81ebaba6eab63e06a7b5abc7a4aaa26295a74935abc6b9d
This study keeps the original group eligibility and first-ten-good-pulse rules. The preserved source metadata and event audit give the source identities and fixed trial selection.
- usesLate SEEG variance exceeded pre-pulse variance after mean waveform removal in seven selected ds004696 patients sci:sha256:2e90cb893bc1142148023eeb6375dcca0c34eba6caa022c45cc8a60ed59a8c2a
This study uses the selected voltage windows, source Gram matrices, complete source records, and source retrieval code. It adds a forecast loss test with separate four-pulse training and three-pulse test sets. It reuses the same patients.
- usesdoi:10.18112/openneuro.ds004696.v1.0.1
The analysis uses corrected SEEG epochs from OpenNeuro ds004696 version 1.0.1.
- doi:10.1523/JNEUROSCI.2201-22.2023
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesA test did not detect a rise in excess squared residual correlation between shafts at 100 to 500 ms after stimulation in seven selected SEEG patients under patient independence and null sign symmetry
This study uses the selected corrected voltage windows, fixed group and pulse selection, provenance, and source extraction code. It adds a residual correlation score between local signals on different shafts and an exact pulse-label benchmark. It reuses the same patients.