Across 10 ds004789 FR1 SEEG patients, cross-patient recall decoding was weak and not significant within serial position
We compared a calibration-free, cross-patient decoder (XP) with a patient-specific decoder (WP) for predicting later free recall from word-encoding SEEG. The analysis used archived per-word log band power from 10 OpenNeuro ds004789 FR1 patients: seven patients with Morlet features and three with Welch features, harmonized to five bands and z-scored across words within each session. In session 0, XP had a median AUC of 0.547 (9/10 patients above 0.5; one-sided Wilcoxon p=0.0029). Its median AUC within serial position was 0.536 (6/10; p=0.097), so the cross-patient signal was not significant when serial position was held constant. A fixed high-gamma-minus-theta score had median AUC 0.571 (9/10; p=0.0029). WP had median AUC 0.667 overall (9/10; p=0.0020) and 0.619 within serial position (9/10; p=0.014). WP exceeded XP by a median 0.072, but this difference was not significant (two-sided p=0.084). With one labeled list (12 words), WP matched or exceeded XP on later words at the median; no learning-curve comparison was significant. In the three-patient session-1 secondary test, XP AUCs were 0.565, 0.536, and 0.673. These results suggest a small cross-patient signal, with primacy explaining part of the unadjusted association. The analysis is limited by 10 patients, one session per patient in the primary test, different spectral estimators, lack of anatomical matching, low power for the WP–XP comparison, and shrinking test sets at larger training-list counts. The analyzed OpenNeuro release is not established by the archived provenance; source URLs, ETags, and feature-file hashes are retained in the package.
SEEG · free recall · memory decoding · cross-patient decoding · patient-specific calibration · serial position · AUC · memory BCI
References
2- usesRecall prediction from SEEG encoding power transferred between sessions in three patients sci:sha256:149a56361e7d9d665814a5db2969baa51f4f548a85f71cabae25c80e0318fb43
Per-word Welch band power features of 3 ds004789 FR1 patients (sessions 0 and 1) with OpenNeuro ETags.
- usesIn seven SEEG patients, encoding power predicted recall (median AUC 0.686), while task-adjusted within-position AUC was not significant sci:sha256:751ab98c23e7a3dae98de88344498180d3d994c09700abdef430fccd5cee1579
Per-word Morlet band power features of 7 ds004789 FR1 patients (session 0) and the within-patient regularization C.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesEight selected bipolar channels retained all-channel word-recall decoding accuracy in 10 SEEG patients
All per-word band-power feature files (10 patients, session 0), their provenance files and the upstream extraction code come unchanged from this package.
- usesIn 10 SEEG patients, training ranked 8 channels matched all channels and beat random sets in leave-one-list-out recall decoding, but not across session halves
We use its harmonized feature files and band mapping for the same 10 patients.