SEEG power predicts spoken free recall in six analyzed patients, with pre-speech motor activity unresolved
We tested whether stereo-EEG (SEEG) power distinguishes windows before spoken free recall from silent windows during a word-list recall period. The pre-registered primary window was 0.9–0.1 s before an isolated recalled-word onset. We analyzed six of 18 planned patients from OpenNeuro ds004789, version 3.1.0, using Morlet log power at eight frequencies (3–140 Hz) and leave-one-list-out logistic regression. The median AUC was 0.852 (6/6 patients above 0.5; one-sided exact Wilcoxon p = 0.016), and the median AUC within five-second bins of time since recall start was 0.831 (6/6; p = 0.016). Time since recall start alone had median AUC 0.724. An earlier window, 1.6–0.8 s before speech, had median AUC 0.710. An encoding-period decoder transferred to retrieval with median AUC 0.685 (5/6 patients above 0.5). Power at 13–22 Hz decreased before recall. The remaining 12 planned patients were not analyzed because downloads were slow; the fixed queue order may have caused selection bias. The late window may contain pre-speech motor, breath, or muscle activity, so the result does not isolate a memory signal. The analysis was offline and used one session per patient and all bipolar channels.
stereo-EEG · free recall · memory · neural decoding · power spectrum · AUC · speech motor activity
References
2- usesCross-patient SEEG recall decoding was above chance but weaker than a three-list within-patient decoder sci:sha256:d52ba56c23a69304d837e4ef5a9f3f20bcee59ebf2cd093faea38a0334a9fa4a
This work uses the encoding-period features, the fetch helper code (fetch_features.py, unchanged) and the 18-patient inclusion list from c4b8c884. The encoding features train the transfer decoder.
- usesdoi:10.18112/openneuro.ds004789.v3.1.0
The analysis used session 0, acq-bipolar recordings from this exact OpenNeuro dataset version.
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