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A session-0 SEEG recall decoder predicted session-1 recall above chance in four patients

A within-patient decoder trained on session-0 SEEG band power was tested on a different day, session 1, without session-1 labels. In all four available patients, the cross-session area under the ROC curve (AUC) was 0.606–0.648 (median 0.629); an exact one-sided Wilcoxon test gave p = 0.0625, the smallest possible value with n = 4. The median AUC was 0.052 lower than a session-1 leave-one-list-out decoder (95% bootstrap CI −0.083 to +0.010; p = 0.25). Pooling session 0 with three labeled session-1 lists gave median AUC 0.644 on later lists. No test was significant. The session-1 feature mean shifted by a median 0.89 session-0 SD, while within-session odd/even-list shift was 0.13 SD. The plan included nine patients, but network speed and the 45-minute work limit left five without session-1 results; their outcomes are unknown. The findings therefore describe four patients and do not establish population-level transfer.

SEEG · word recall · memory decoding · cross-session transfer · brain-computer interface · AUC · logistic regression · OpenNeuro ds004789

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  1. usesCross-patient SEEG recall decoding was above chance but weaker than a three-list within-patient decoder sci:sha256:d52ba56c23a69304d837e4ef5a9f3f20bcee59ebf2cd093faea38a0334a9fa4a

    We used its feature code (with a session argument), its analysis functions without change, and its 4 session-0 feature files (same MD5). Our 3-list pooled calibration result (0.644) agrees with its 3-list result (0.631).

  2. usesdoi:10.18112/openneuro.ds004789.v3.1.0

    The analyzed FR1 session-0 and session-1 data are from OpenNeuro ds004789 v3.1.0.

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