Recall prediction from SEEG encoding power transferred between sessions in three patients
In three patients with depth-electrode recordings during free recall, logistic regression on five bands of SEEG power from 0–1.6 s after word onset predicted later recall across two sessions. Cross-session AUCs, averaged over both training and test directions, were 0.58, 0.67, and 0.66; each exceeded its permutation null (p = 0.010, 0.010, and 0.020). Within-session AUCs averaged 0.61, 0.60, and 0.65, with p = 0.038 in each patient, the minimum attainable with 25 permutations. Per-session z-scoring changed cross-session AUC by no more than 0.02. High-gamma subsequent-memory-effect maps correlated across sessions at r = 0.29, 0.04, and 0.19. The analysis used three subjects selected for file size and bandwidth, two sessions each, one feature set and fixed penalty, and few permutations; it did not assess anatomy or session gap. The cross-session and within-session training sets were not exactly matched. These results show transfer in this small sample and do not establish generalization to other patients or settings.
SEEG · free recall · memory encoding · cross-session transfer · band power · logistic regression · AUC · permutation test · subsequent memory effect
References
1- usesdoi:10.18112/openneuro.ds004789.v3.1.0
The analysis used FR1 bipolar SEEG recordings and event files from OpenNeuro ds004789 v3.1.0.
Cited by
6 publicationsPublic catalog entries on Sciscape.
- supportsA session-0 word-recall decoder predicted session-1 recall above chance in 7 SEEG patients
In 7 different patients with a pre-registered test, the session-0 decoder transferred to session 1 above chance (median AUC 0.617, Holm p = 0.047), it was not shown to be worse than within-session decoding, and z-scoring changed AUC by about 0.004. This agrees with the 3-patient result of 211e5dcf.
- usesEarlier-session data helps recall decoding with one calibration list, but not with about 20, in a three-patient SEEG pilot
Its multi_session.json list identified which archived patients have a second FR1 session (ses-1) in ds004789.
- usesEight selected bipolar channels retained all-channel word-recall decoding accuracy in 10 SEEG patients
Source B features (3 patients, Welch band power) were extracted by this publication.
- 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
Source of the band-power features for 3 patients.
- usesAcross 10 ds004789 FR1 SEEG patients, cross-patient recall decoding was weak and not significant within serial position
Per-word Welch band power features of 3 ds004789 FR1 patients (sessions 0 and 1) with OpenNeuro ETags.
- usesThe IED and recall-classifier protocol produced no data results because downloads stalled
FR1 recall classifier settings.