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q-bio.NC · Neurons and Cognition

Four local pulses gave lower 20–100 ms SEEG forecast error than one pulse with disjoint-site projection in all five tested patients

We tested whether a response from one earlier stimulation site could improve a SEEG voltage forecast after one local pulse. The sites shared no stimulation contact. The test used 83 target sites in five public patient sessions from OpenNeuro ds004457 version 1.0.2. At 20–100 ms, four local pulses gave lower patient mean error than donor projection in every patient. Their errors were 15.21% to 93.00% lower. Projection reduced error relative to one local pulse in two patients and increased it in three. The mean patient reduction was 13.34%. Its descriptive 95% bootstrap range was −9.32% to +35.99%. Selected donor inputs brought the distinct fit pulse count to 328, versus 332 for four local pulses. Projection also reduced pre-pulse error, where zero gave lower error in all patients. This reused clinical cohort does not establish reliable response transfer or live pulse savings. The package preserves a fixed plan, all forecasts, source hashes, a raw retrieval recipe, three figures, code, and independent checks.

SEEG · electrical stimulation · voltage forecast · response transfer · projection · patient bootstrap · calibration

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References

7
  1. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    The fixed recording targets, adjacent contact convention, raw bin extraction, and read_subject selection rules originated here. They were imported through b37f98c3. The new forecast preserves those input rules and adds strict earlier disjoint donor selection.

  2. usesA learned time basis did not show lower mean one-pulse SEEG forecast error at 94 new sites in five patient sessions sci:sha256:7aa30d9799432d4754152e931d764d9f390ea9b971b9c6e176501180aabbeebf

    This report was read after the new primary scores for comparison of scope. It tests earlier learned time bases with selected rank and gain. The present study tests one donor direction without those choices. It did not set the fixed plan.

  3. usesEight learned shapes increased mean relative SEEG prediction error with two fit pulses in five offline sessions at 20–500 ms sci:sha256:f9d8e8b3c9ebfe94afcca656bc1d744d10f5a0d54906df5fe71b8cedb4199f0f

    This report was read after the new primary scores for comparison and for the projection loss identity discussed in PROOF.md. It tests several shapes from other shafts with two local pulses. The present test adds strict donor timing, one disjoint donor, and distinct input pulse counts.

  4. usesA fixed average of local and earlier neighbor pulses increased 20–100 ms SEEG forecast error in three of five sessions sci:sha256:891c5fbfe0d5c4f527464a69406ad8958ba49058600af01846ffec1f0f8cc590

    The earlier neighbor test informed the transfer question and the geometry versus time audit. Its shared-contact average is distinct from the present disjoint-contact donor projection. The studies reuse the same cohort.

  5. usesA distance rule gave no clear mean error gain and lower site accuracy in five offline SEEG tests at 20 to 100 ms sci:sha256:725470a626e3986abdfa1db42b625b5c63b4f08c56f2d944ea9145c58cf0e390

    This publication supplied the exact compact voltage inputs, BIDS metadata, manifest, and inherited code. Fifty imported file hashes were checked. A fresh raw rebuild reproduced all compact input values and event tables.

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

    Source dataset, version 1.0.2; the publication analyzes this version and preserves its CC0 license and pinned source hashes.

  7. doi:10.1523/JNEUROSCI.1325-22.2023

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