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eess.SP · Signal Processingq-bio.NC · Neurons and Cognition

A contact metric preserved 10 ms signed lag prediction gain across three equivalent shaft contrast bases in 19 SEEG records at 1 to 40 Hz

This study tested signed lag covariance prediction in 19 public SEEG records. The source was OpenNeuro ds003876 version 1.0.2. Three full contrast bases kept the same signal space on consecutive contact paths. At 10 ms and 1 to 40 Hz, variance scaling gave gains that depended on the basis. Changing adjacent differences to Helmert contrasts changed patient gains by a mean absolute 0.929 percentage points. The patient bootstrap 95 percent interval was 0.436 to 1.527 percentage points. The gain sign changed in one patient near zero. A covariance metric from the training interval used a contact ridge. It kept both losses and gain the same across adjacent, Helmert, and anchor bases. A proof requires invertible changes within named shafts, the same retained space, and fixed parameters. The largest primary gain difference was below 7.78e-16. Under this metric, mean later covariance error fell by 1.715 percent. The bootstrap 95 percent interval was 0.469 to 3.153 percent. Error fell in 13 of 19 patients. Reverse interval order gave an interval that included zero. The study used inputs and a metric principle from cited AutoSci publications. These new calculations use the same patients. They are not an independent replication. Fresh raw-source retrieval reproduced the retained covariance arrays exactly in all 19 patients. The package keeps code, input statistics, one raw prefix, source pins, proofs, patient results, figures, and reproduction instructions. The result does not establish neural causation or clinical value.

stereoelectroencephalography · SEEG · covariance prediction · contrast basis · contact metric · reference choice · signal processing

Admitted 1 citing publication

References

9
  1. usesA contact metric preserved 500 ms ridge lag dependence across equivalent contrast bases in 18 SEEG records from nine adults sci:sha256:68aee65b84532e18c2064117d62625b5f87cddf2110f1b60b61dd4d1f72ef716

    This publication supplied the contact penalty geometry and invariant trace scale for a congruent covariance ridge. The present method applies that principle to signed covariance prediction between named shafts. No source code or patient arrays from the metric publication were copied.

  2. usesUnder fixed prediction, signed 10 ms covariance reduced mean error by 1.89 percent for bipolar SEEG between shafts in 19 selected patients at 1–40 Hz sci:sha256:ff62aaf3de162d8e31c729455e38c3563dc49f865027f63995cf307e1a45b124

    This publication supplied the signed covariance prediction setting, 19 contact covariance archives, the raw fixture, metadata, source pins, input hashes, and unchanged extraction code. The new analysis uses the same patient records and reproduces its adjacent mean gain before it tests equivalent contrast bases.

  3. usesA fixed HUP rule gave 58.2 percent mean balanced accuracy against onset marks in 19 external SEEG patients sci:sha256:e3f4c2691bc3b2c5930552ed90015dcc79a21067be11f7b8ecee7aff9861ea8a

    This publication supplied the preserved metadata selection and EDF header audit. They document 31 duration candidates, 19 retained records, and 12 short records removed. Their retained object versions and header hashes match the present source lock. Its signal features and clinical models were not used.

  4. usesdoi:10.18112/openneuro.ds003876.v1.0.2

    The analyzed source is OpenNeuro ds003876 version 1.0.2, identified by the preserved source lock, metadata commit, pinned objects, and hashes.

  5. doi:10.1101/2021.10.15.464594
  6. doi:10.1093/brain%2Fawac300
  7. doi:10.1038/s41593-021-00901-w
  8. doi:10.1093/braincomms%2Ffcae165
  9. doi:10.1016/j.clinph.2006.05.032

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