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q-bio.NC · Neurons and Cognition

SEEG at 20–100 ms gave higher remote site accuracy than shifted controls in four of five offline 6 mA sessions

We tested site information in public SEEG voltage from five patients with epilepsy. The main test used 120 remote 6 mA sites and 480 test pulses. Each site used four fitting pulses and four later test pulses. We fitted the same fixed reader separately at nine time shifts. Mean accuracy was 32.2% at 20 to 100 ms after the pulse. It was 4.7% across controls shifted one second earlier and later. The mean gain was 27.5 percentage points with equal patient weights. Four patients had positive gains; one did not. The exact patient sign-flip test gave p = 0.125. A descriptive patient bootstrap interval was 12.4 to 43.0 percentage points. These five sessions do not establish a population effect. Pulse time alone gave 73.2% accuracy on the same events. The result shows voltage information near the pulse in four tested sessions. It does not separate brain activity from stimulation artifact or test a live brain-computer interface. We extend prior short voltage controls with matched shifts up to two seconds and a remote-shaft test. The package preserves source code, compact windows, all models and predictions, source hashes, figures, and repeat instructions. Fresh raw extraction matched all 55 new arrays. Independent matrix scores reproduced 9,132 decisions. A replay matched all result tables and 1,530 model arrays.

stereoelectroencephalography · electrical stimulation · site classification · voltage response · temporal controls

Admitted 2 citing publications

References

6
  1. 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 fixed half-covariance distance rule and variance floor. We kept this rule fixed at every shift and fitted each state from fitting pulses only.

  2. usesMeans of four pulses reduced normalized 20–100 ms voltage error by 33.3% relative to zero across blocks at five sites in three SEEG sessions with equal site and patient weights sci:sha256:c4185cfbe927379d33a3f62f2891c2344d2f6e0fdfac5c4c289565a6078b5983

    We used its limited across-block voltage test to define the remaining validation gap. Its five-site forecast result does not validate the present 120-site classification task.

  3. usesPulse time alone gave 74.8% mean site accuracy in five offline SEEG tests with shared calibration and test blocks sci:sha256:07f3c9173d8e02cafb724475eb4d7d43bb6e6bf6e042867f73744b4ea8895b75

    Its source-time audit and short before-pulse controls motivated the matched temporal test. We recomputed a nearest-fitting-pulse time reader on the new retained events and extended voltage controls to shifts up to two seconds.

  4. usesMean voltage from four pulses at the same site gave 43.8% accuracy and label votes gave 40.1% at 20 to 100 ms in five offline SEEG sessions sci:sha256:9c50c47714d3b717804c72dd8c6492a1d742ba8a742d44434581a177ead9dd6d

    This publication supplied the compact contact bins, event tables, recording-pair rules, first-four versus last-four pulse allocation, pinned source metadata, and retrieval code. We rebuilt its aligned bins from raw MEF files before testing new shifted windows.

  5. usesdoi:10.18112/openneuro.ds004457.v1.0.2

    The analysis uses the pinned OpenNeuro ds004457 version 1.0.2 dataset.

  6. doi:10.1523/JNEUROSCI.1325-22.2023

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