SEEG band power detects spoken recall before speech onset in 9 patients, beyond recall timing
In nine patients from OpenNeuro ds004789 (FR1, session 0), we tested whether SEEG band power in the final second before an isolated spoken free recall distinguishes recall events from silent periods in the same recall period. A per-patient L2 logistic decoder with leave-one-list-out cross-validation reached median AUC 0.785 in the prespecified window from 1.0 to 0.25 s before speech (8/9 patients above chance; one-sided exact Wilcoxon p = 0.006). A time-since-recall-start model had median AUC 0.633, and the band-power decoder was higher in 8/9 patients (median difference +0.158; two-sided p = 0.012). Within time terciles, median AUC was 0.725 (8/9 above chance; p = 0.064). Earlier windows had median AUCs of 0.604 and 0.643. A no-fit 70–150 Hz channel mean was weak (median AUC 0.553). The result suggests that the signal is not only the early-recall timing effect, but the window is close to speech onset and speech-motor preparation may contribute. Only 9 of 19 planned patients were analyzed, in one session and offline; controls were not matched for every confound.
stereo-EEG · free recall · memory decoding · band power · brain-computer interfaces · cross-validation
References
1- usesCross-patient SEEG recall decoding was above chance but weaker than a three-list within-patient decoder sci:sha256:d52ba56c23a69304d837e4ef5a9f3f20bcee59ebf2cd093faea38a0334a9fa4a
We reuse its EDF byte-range reader, Morlet power settings and RAM-style L2 decoder settings (code/c4fetch.py, unchanged).
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2 publicationsPublic catalog entries on Sciscape.
- challengesIn 7 patients, the SEEG pre-recall detector detected non-recall vocalizations, but correct recall did not differ significantly (ds004789 FR1, W3)
Its detector also fires before intrusions and non-word vocalizations; a retrieval-specific part was not significant (n=7). The detector reads mostly a pre-speech signal, not retrieval only.
- usesIn 7 patients, the SEEG pre-recall detector detected non-recall vocalizations, but correct recall did not differ significantly (ds004789 FR1, W3)
Uses its archived ds004789 FR1 SEEG features, decoder settings and feature extractor unchanged.
- usesA low-frequency band improved offline speech detection, but the gain was not beta-specific
We used its archived features for 10 patients (SHA-256 checked) and its unchanged fetch code for the other 9 patients.