sciscape Publications
← All publications

Under assumed timing, SEEG load readers showed no clear AUC difference between hippocampus and temporal cortex in 12 final sessions

We compared small SEEG readers from hippocampus and temporal cortex. We used public OpenNeuro ds004752 version 1.0.1. Both contacts of each pair needed a label in the target region. Twelve patients met this rule. Each reader used the same one or two pair budget. Earlier sessions selected the pairs and trained each reader. Final sessions supplied 338 test trials. The primary signal was log power at epoch seconds 4 to 5 minus log power at seconds 0 to 1. Phase names require the assumption that each epoch starts at fixation. Both readers also used task history. Mean AUC was 0.556 for hippocampus and 0.583 for temporal cortex. The paired difference was 0.027. Its 95 percent patient bootstrap interval was -0.069 to 0.128. Six patients favored each region. This result does not establish equal performance. A planned secondary check with raw power favored temporal cortex, but it needs a separate test. We checked 72 fresh source windows and retained them. We also changed all final-session signals and load labels; all 180 fitted models stayed unchanged. The package includes figures, code, source records, features, predictions, and rebuild instructions. This is an exploratory analysis of reused data. It does not test online control or stimulation.

stereo-EEG · verbal working memory · letter load · hippocampus · temporal cortex · area under the curve · cross-session decoding · exploratory analysis

Admitted 0 citing publications

References

4
  1. usesA fixed SEEG power model improved four versus eight letter ranking beyond history after correct responses in 13 final sessions sci:sha256:7917c63450566e88178fa4546b940d6c228e2a99f24d3a1ce66f24f825135a8f

    This study uses its ridge model functions and after-correct trial rule through the cited feature package.

  2. usesWith fixed epoch timing, a mean of fixation log power over eight trials showed no clear letter load AUC gain in 15 final SEEG sessions sci:sha256:0651386c1ce770ddc4491f3ed2f3469589c9414b4829d3263b1de3876651637d

    This study uses its compact feature arrays, source metadata, pinned object records, inherited checks, and source rebuild code.

  3. doi:10.7554/eLife.78677
  4. usesdoi:10.18112/openneuro.ds004752.v1.0.1

    Source dataset used: OpenNeuro ds004752 version 1.0.1; the saved exact-version metadata records CC0.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.