Four pulse groups gave SEEG response participation ratios of 1.20 to 2.80 in five sessions under stable means and independent errors with zero mean
We estimated site response spread in public SEEG data from ds004457 version 1.0.2. The test used 183 stimulation sites, 15 bipolar recording pairs, and 1,464 selected pulses in five patient sessions. Four disjoint pulse groups estimated two matrix moments without fitting response vectors. Under stable means and independent errors with zero mean, the moment estimates are unbiased. The main participation ratio estimates were 1.92, 1.40, 2.80, 1.93, and 1.20 for 20 to 500 ms responses. The ratios can still be biased. All tested post-pulse settings gave point estimates above one. Pulse grouping changed little; contact choice and time window had larger effects. No formal rank hypothesis test was done. Known-signal checks passed. A shared-error example showed why repeat data cannot prove neural cause. A new raw download and extraction matched all ten input files byte for byte. An isolated rerun matched all 13 numerical output files. The 14.3 MB package preserves three figures in three formats, voltage bins, source hashes, code, a proof, results, and reproduction steps. This method can support BCI response-model calibration. It does not count controllable brain states or show a decoder gain.
SEEG · brain-computer interfaces · participation ratio · neural response · moment estimation · electrical stimulation
References
7- usesA joint SEEG shape decoder did not show a clear mean gain over one selected pair in four patient sessions sci:sha256:81f77d4f52365d5b14fed7d3d6db7b430a2cf478b9a6a6062540c4e90bbd8e7c
We used its raw extraction algorithm and selected channel subset through the source chain. The new extraction used a separate output directory and matched the archived files.
- usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886
We used its original extracted voltage dataset and pinned raw source manifest, inherited through the immediate parent. We repeated the raw download and extraction.
- usesPulse time alone gave 74.8% mean site accuracy in five offline SEEG tests with shared calibration and test blocks sci:sha256:07f3c9173d8e02cafb724475eb4d7d43bb6e6bf6e042867f73744b4ea8895b75
Its time-only control showed a limit from blocked site order in this pulse selection. It informed our limit on claims about neural cause and new-session performance.
- usesOne waveform learned from two pulses per site missed repeated site differences in five SEEG sessions sci:sha256:d08ca03b09b85e16bff0cce29a0e32d65988740ca9cc1eb935f43e2d66c2eadd
We used its voltage bins, source metadata, and cohort selection code. Its learned-waveform residual result motivated a moment estimate that does not fit a waveform.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
Source dataset, exact version used for the five-session analysis.
- supportsdoi:10.1523/JNEUROSCI.1325-22.2023
Source study and prior finding of distinct response shapes in ventral temporal cortex.
- doi:10.1073/pnas.2506535122
Cited by
4 publicationsPublic catalog entries on Sciscape.
- usesMean estimated SEEG site map alignment was 0.28 for 20 to 100 ms and 100 to 500 ms in five sessions under stable means and independent group errors
Used as related method context after the primary calculation. It uses separate products from four pulse groups to estimate response spectrum moments in the same cohort. The current result measures early and late map alignment. No code or result arrays were imported from it.
- usesFive later pulses had 6.5 percent lower SEEG sample variation rank after stimulation than before it at 85 selected sites in eight people
Its participation ratio study informed the question about response spread. Our within-site residual sample rank is a different quantity from its mean response matrix across sites. We do not use its noise correction or independent-error assumptions.
- usesVariation in four early pulses gave lower SEEG error-limit scores than response energy at 20–500 ms in five patients
We used its exact voltage bins, events, metadata, source manifest, retrieval code, and extraction code. We retained its cohort and rebuilt all ten input files from fresh raw downloads.
- usesFull covariance did not establish a mean increase in SEEG response spread at 20 to 100 ms in five sessions under stable means and independent errors with zero mean
Used its four-independent-group moment construction and negative-moment rule. Extended the target to condition on an early fitted metric, with four separate single late pulses as the moment replicates. Preserved the stable-mean and independent-error assumptions.