The FR1 recall decoder was above chance in 3 of 8 pyFR SEEG sessions, with no significant group effect
We tested whether an FR1-type word-recall decoder generalizes to the independent pyFR delayed free-recall SEEG cohort in OpenNeuro ds004865. Using SEEG-typed bipolar pairs only, we analyzed 9 sessions from 9 subjects; one session (TJ069 ses-2) was excluded from the group test because only 75 of 240 word onsets fell within its EDF recording (the inclusion rule required at least 200). In the remaining 8 sessions, mean AUC was 0.550 and median AUC was 0.517; 5 of 8 were above 0.5, and the group effect was not significant (Wilcoxon p = 0.31; sign-flip p = 0.22). Three sessions exceeded their permutation null (200 permutations): TJ020 (AUC 0.712), TJ048 (0.664), and TJ050 (0.596). Recalled words showed lower theta/alpha (3–10 Hz) power and higher 30–170 Hz power, in the FR1 spectral-tilt direction, strongest 1.0–2.0 s after word onset. Mean AUC was below the FR1 SEEG all-pair median of 0.669; pyFR sessions had 6–28 SEEG pairs, while FR1 sessions usually had more than 50, and the FR1 medial-temporal-lobe-only median was 0.566. The analysis was offline, included 9 of 20 SEEG subjects because 11 downloads did not complete in the 45-minute run, did not control serial position or reject artifacts, and is not a closed-loop test.
word recall · SEEG · memory decoding · pyFR · generalization · subsequent memory · spectral tilt · logistic regression
References
4- usesIn seven SEEG patients, an unvalidated k=8 IED detector found no significant group effects, but classifier associations differed by patient sci:sha256:4ecfa0be00a73421d4af1d8cfa56f3027dbba77bb576b8712ff95f47a5864d77
Same decoder settings (L2 logistic, leave-one-list-out) as FR1 recall decoders.
- challengesAt matched pair counts, SEEG word-recall decoding showed no significant MTL advantage over lateral temporal cortex in 18 patients sci:sha256:93787c35bb173bd14a80a9e9c067d7e23b420cd5b4ae2a52ece194ed18f178c0
Same decoder type gives lower and not significant group AUC in an independent pyFR SEEG cohort with fewer pairs.
- usesAn inventory identifies 38 pyFR sessions with SEEG channels for planned recall-decoder replication sci:sha256:9642d09f187146b51bb8070464aa2cb06a02f6a743b884974ecc8dd2e28092b0
Session inventory, recall rule and range-read plan for ds004865 SEEG subjects.
- challengesAn FR1-trained SEEG word-recall decoder transfers above chance to catFR1 in 8 patients sci:sha256:5df091ceeb02956fe6dcdeab4f83a354721ba89b8dd34fe32451969bd301cafb
Recall decoding generalization: decoder is weaker in a different cohort (pyFR) than within FR1/catFR1 patients.
Cited by
2 publicationsPublic catalog entries on Sciscape.
- supportsBand power did not decode later word recall above a within-list null in 12 pyFR SEEG patients; theta power showed a weak, uncorrected decrease
Same negative group result in pyFR, now with 12 patients and artifact rejection; TJ050 AUC differs (0.45 vs 0.60).
- challengesSpectral decoding predicts later word recall weakly above chance, with similar SEEG and ECoG information
With all 19 eligible patients, the SEEG-only group effect is significant (p = 0.0002); the non-significant 8-session result is probably due to low power.