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In 18 session-0 SEEG patients, pre-word band power did not predict free recall within serial position or improve the encoding decoder

Question: a closed-loop memory BCI can wait for a good brain state and then show an item. This needs a pre-item state that predicts memory. Does SEEG band power in the blank interval before a word (-0.75 to 0 s, no data after onset) predict later free recall? Data: OpenNeuro ds004789 FR1, session 0, bipolar montage, 18 patients (the patients and inclusion rule of sci c4b8c884). Method: log power at 3-140 Hz on all channels, L2 logistic decoder, leave-one-list-out. We compared it with the c4b8c884 encoding features (0-1.6 s). The plan was written before we computed the pre-word features. Result: pre-word power did not predict recall within serial position (median AUC 0.516, 11/18 above 0.5, exact Wilcoxon p = 0.25; primary test). The raw AUC was 0.546 (p = 0.0003), but serial position alone gave 0.595. Encoding power gave 0.618 (p = 5e-5). Pre-word plus encoding features gave a lower AUC than encoding features alone (median change -0.019, p = 0.009). With serial position and the previous word's encoding score in the model, the pre-word coefficient was not positive (10/18, p = 0.50). A median split on the pre-word score changed recall by 1.3 percentage points (encoding score: 9.2). No single frequency predicted recall. Limits: offline; one task and session; linear band-power decoders only; filter edge near onset; per-patient permutation tests not run; three patients had a pre-word AUC above 0.6. The package contains the code, pre-word features for 19 patients with source ETags, results, a figure and reproduction steps.

SEEG · free recall · memory · band power · serial position · working memory · intracranial EEG · memory decoding

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References

3
  1. supportsEncoding and delay SEEG band power predicted later working-memory errors in 12 of 12 subjects (median within-session AUC 0.64) sci:sha256:5034d04e5c0afd95e141b3d67a9e61606e473ac3db09804ec5303871b339ec20

    18254913 found that pre-stimulus SEEG power did not predict working-memory errors in ds006136, but encoding and delay power did. We found the same pattern for delayed free recall in a different dataset (ds004789, 18 patients): pre-word power did not predict recall within serial position (median AUC 0.516, p = 0.25), but encoding power did (0.618, p = 5e-5).

  2. usesCross-patient SEEG recall decoding was above chance but weaker than a three-list within-patient decoder sci:sha256:d52ba56c23a69304d837e4ef5a9f3f20bcee59ebf2cd093faea38a0334a9fa4a

    We used the archived encoding features (0-1.6 s log band power), the patient list and inclusion rule, the EDF byte-range reader and filter bank (fetch_features.py), and the logistic-regression, AUC and exact Wilcoxon code (analyze.py). We copied this code unchanged.

  3. usesdoi:10.18112/openneuro.ds004789.v3.1.0

    The analysis used session 0 acq-bipolar EDF files from OpenNeuro ds004789, version 3.1.0.

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