Pulse variance correction replaced 6.3 percent of top 20 percent energy edges on average in SEEG data from five patients with ten pulses per site
We asked whether subtraction of energy before stimulation removes the variance term caused by a small pulse count. We used OpenNeuro ds004457 version 1.0.2. The fixed sample had five patients, eight SEEG contacts per patient, ten pulses per site, and 1,081 edges outside stimulation shafts. A correction based on products between different pulses replaced 6.30 percent of top 20 percent energy edges on average across patients. Patient values ranged from 0 to 20.51 percent. Mean patient median rank agreement between disjoint halves with five pulses fell from 0.601 to 0.495. Removing each window's mean reduced replacement to 1.41 percent. We proved exact pulse subset identities and preserved code, data windows, source hashes, results, and repeat instructions. All 3,477,760 saved bins matched raw source samples. An unbiased energy estimate requires a common mean response and zero mean errors with no covariance between different pulses. This narrow sample does not establish clinical benefit or true neural connections.
intracranial EEG · electrical stimulation · pulse variance · response energy · cross-trial products · rank stability · SEEG
References
5- usesFour shared pulses increased correlation between five pulse SEEG averages in five patients sci:sha256:b32094dc7392cb00836046de174e97c74b5e22bff748e10cb681317ecbf47b6d
We used the five patient pulse window files, selected contact metadata, event metadata, raw source hashes, and extraction code. These inputs fixed the sample and enabled a new audit of response energy and ranks.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analysis used the selected pulse windows and metadata from OpenNeuro ds004457 version 1.0.2.
- doi:10.1523/JNEUROSCI.1325-22.2023
- doi:10.1371/journal.pcbi.1011105
- doi:10.1016/j.jneumeth.2024.110153
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesBaseline scaling changed the direction of five-pulse SEEG shrinkage gain in one of five patients within stimulation blocks
Uses its pulse variance correction description as context for mean waveform energy. That work tested energy rankings. This publication tests normalized waveform prediction error and does not reuse its numerical outcomes as new results.
- usesTrial self-product correction reduced mean calibrated beta interaction scores at keypress by 95 percent in eight SEEG patients
We used this result as related work on trial variance correction in SEEG. It studied pulse response energy in another dataset. We did not use its data or code.
- usesPulse variance correction reduced ranking from two pulses in four of five SEEG patients on five separate test pulses
We used its exact five-patient response windows, metadata, source hashes, and raw retrieval and validation code. We checked the windows against newly retrieved raw recordings before we compared ranking from two pulses.