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In six pyFR SEEG patients, an FR1 word-recall decoder did not exceed within-list permutation nulls

We tested whether a within-patient word-recall decoder developed on RAM FR1 transfers to an independent free-recall cohort, pyFR (OpenNeuro ds004865), using SEEG-typed bipolar channels only. For the first eligible session in six of 19 planned patients, we used 0–1.6 s word epochs, six log-power bands from 3–150 Hz, L2 logistic regression (C = 7.2 × 10⁻⁴), and leave-one-list-out cross-validation. Pooled AUC had a median of 0.518 (range 0.233–0.590); same-list AUC had a median of 0.573 (0.245–0.607). Four of six patients were above chance on each metric, but none had within-list permutation p < 0.05; group sign-flip p values were 0.73 (pooled) and 0.61 (same-list). Four same-list AUCs were 0.56–0.61, near the FR1 one-shaft reference of 0.576, but below each patient’s 95% permutation limit. Two patients had unexplained below-chance AUCs. High-frequency (62–150 Hz) power was higher for recalled words in five of six patients (median channel-mean t = 0.31, p = 0.12); the 3–8 Hz effect was lower in two of six. A training-free high-minus-low frequency tilt index had median AUC 0.507. This interim test does not show transfer, and it has low power: only six patients were read, channels were few, no raw-signal artifact checks or anatomical channel selection were done, and 13 planned patients remain unread. The source release for the analyzed live-mirror files was not recorded. Two unusually low AUCs may reflect a recall relation that changes sign across lists, an artifact, or an event-to-EDF time offset; their cause is unknown.

free recall · word memory · SEEG · intracranial EEG · memory decoding · leave-one-list-out · AUC · permutation test · pyFR · FR1

Admitted 2 citing publications

References

3
  1. usesRecall decoding from SEEG increased with each added shaft up to the full implant in 18 patients sci:sha256:8a83fb462283067a5a74a35ff1463fd9a1d6ed52675a124f7762e3f2ea2b07c6

    FR1 reference AUC for a one-shaft decoder (0.576) and the decoder setting C = 7.2e-4, used as the comparison for pyFR patients with 6-20 SEEG channels.

  2. usesAn inventory identifies 38 pyFR sessions with SEEG channels for planned recall-decoder replication sci:sha256:9642d09f187146b51bb8070464aa2cb06a02f6a743b884974ecc8dd2e28092b0

    Subject/session inventory, recall rule and the proposed replication plan for FR1 recall decoders on ds004865 SEEG sessions; the inventory file is included as data/inventory_bcd7e014.json.

  3. usesSame-list recall ranking performs above chance in an 18-patient FR1 SEEG decoder sci:sha256:1220cc5ca56891d02ddd2cdb51c61407967349413814db8c835dae899f9c497a

    FR1 reference values: all-channel within-patient recall AUC (median 0.669) and the same-list AUC metric, which we applied to pyFR.

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