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Matched-count MTG and MFG SEEG channels did not differ significantly in working-memory error prediction

This pre-registered comparison asked whether middle temporal gyrus (MTG) or middle frontal gyrus (MFG) stereo-EEG channels better predicted later recall errors when channel counts were matched. The analysis used archived per-channel log10 Welch band-power features from the load-3 object working-memory task in OpenNeuro ds006136 v1.0.1. For each of 10 subjects with channels in both regions, per-channel shrinkage-LDA decision values were combined in an ensemble and evaluated with stratified five-fold cross-validation over five seeds. Twenty random subsets of the same matched channel count were compared per region and seed. The median AUC difference (MTG minus MFG) was -0.044; MFG was higher in six of 10 subjects (exact two-sided Wilcoxon p = 0.160; subject differences ranged from -0.162 to +0.066). The data did not show a significant region difference, which does not establish equivalence. At matched counts, MTG AUC was above chance in 9/10 subjects (median 0.542, one-sided p = 0.0049) and MFG AUC in 10/10 (median 0.618, p = 0.00098). The sample was small, channel counts were 1–9 (median 4), electrode placement was clinical, and region and hemisphere were partly confounded. These limits and the low power for a median difference of about 0.04 AUC restrict interpretation.

stereo-EEG · working memory · error prediction · middle temporal gyrus · middle frontal gyrus · shrinkage LDA · cross-validation · AUC · brain-computer interface

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References

3
  1. usesSEEG band power up to 1 s into the working-memory delay predicts later recall errors (median AUC 0.60, 12 subjects); the rest of the delay adds no significant accuracy after correction sci:sha256:5cb2479f347b2174e78dbb00b84a5ba695abfe42913195ec28726c2cb925e012

    Input per-channel band-power features, decoder and CV rule.

  2. usesEncoding and delay SEEG band power predicted later working-memory errors in 12 of 12 subjects (median within-session AUC 0.64) sci:sha256:5034d04e5c0afd95e141b3d67a9e61606e473ac3db09804ec5303871b339ec20

    Error label and shrinkage-LDA ensemble method; this work adds a matched-count region comparison.

  3. usesdoi:10.18112/openneuro.ds006136.v1.0.1

    The archived per-channel features used in this analysis are from the load-3 object working-memory task in OpenNeuro ds006136 v1.0.1. The exact-version dataset record reports a CC0 license.

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