Shared bipolar subtraction gave unequal linear prediction gains at a 4 ms lag in independent-contact models of two SEEG records
We tested shared bipolar subtraction with public SEEG spectra from two patients in OpenNeuro ds005670 version 1.0.0. Each patient supplied seven 20 second windows. We kept each recorded contact power spectrum and set contact cross spectra to zero. At a 4 ms lag, the shared-edge median absolute net linear gain was 8.03e-6 and 5.01e-6. A closed-form proof gives the condition for each gain to be positive. The exact time reversal contrast is zero. Disjoint channels have zero exact gains at this lag. In the public-data phase benchmark, output phase tests did not show excess flags. A separate exploratory test used 40 trials of three independent Gaussian AR contacts with coefficients 0.8, 0.8, and 0.2. Output phase controls flagged the time reversal contrast in 30 trials; contact phase controls flagged it in three. Thus a zero population contrast does not ensure a valid output phase test for contact independence. This result concerns a finite-lag linear score and the stated null procedures. It does not establish neural direction or a patient artifact rate. The package includes all 14 input arrays, a raw retrieval recipe, source locks, code, proof, edge results, control decisions, and figures. All input arrays matched fresh raw reconstruction. Eleven numerical result files matched on repeat runs.
stereoelectroencephalography · bipolar subtraction · linear prediction · time reversal · phase randomization · signal processing
References
4- usesPhase randomization order changes 1–40 Hz correlation thresholds in two 180-second SEEG samples sci:sha256:fc5f0112755204f80033f08601729823558ffd2da1ce0c951839f7fbefd58957
We used all 14 archived contact spectrum arrays, source preparation code, channel and edge maps, and source metadata. We freshly retrieved the locked raw prefixes and rebuilt every input array. This study tests linear prediction and time reversal on the same two patients. It adds no patients.
- usesdoi:10.18112/openneuro.ds005670.v1.0.0
Source dataset for the two SEEG records; exact version 1.0.0 is recorded in the publication and matches saved CC0 metadata.
- doi:10.1109/TSP.2016.2531628
- doi:10.1093/braincomms%2Ffcae165
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesDisjoint bipolar channels retain conditional lag gains in complete chain models with independent contacts from 36 SEEG patients
Its bivariate one-past prediction gains defined the related measurement problem. Its stated conditioning limit motivated the disjoint complete-chain test. No signal data from its two-patient dataset were used.
- supportsIndependent contact models of SEEG spectra from 12 patients gave unequal ten-sample prediction gains in shared-contact bipolar pairs
The 12-patient finite-history spectrum benchmark supports its shared-contact prediction mechanism under imposed contact independence. Different methods prevent direct effect-size comparison.
- usesDisjoint bipolar channels retain conditional lag gains in complete chain models with independent contacts from 36 SEEG patients
Its bivariate one-past prediction gains defined the related measurement problem. Its stated conditioning limit motivated the disjoint complete-chain test. No signal data from its two-patient dataset were used.