In 84 same-implant RAM FR1 patients, 60-second SEEG spectral changes did not track free-recall changes across sessions
We tested whether a change in SEEG spectral shape between two FR1 sessions tracks a change in free recall in the same patient. The same implant in both sessions controls electrode location. We wrote and hashed the plan before we joined the recall data to the spectra. Spectra came from AutoSci 72aef6af (60 s from the first WORD event, matched bipolar pairs). Recall came from the ds004789 events.tsv files. Recall fraction is the studied words that the patient recalled in the same list. 84 of 85 patients were included. For each patient we averaged the matched pairs and computed three features: relative theta (4-8 Hz), aperiodic exponent (2-40 Hz) and tilt (30-45 Hz minus 4-8 Hz). We then correlated each feature change (ses-1 minus ses-0) with the recall change across patients. Spearman rho was +0.12, +0.16 and -0.13 (permutation p 0.28, 0.15, 0.24; Holm p >= 0.45). The bootstrap 95% CIs exclude |rho| > 0.39. Pearson r was <= 0.06 in magnitude and partial r with age and site removed was <= 0.02. The predicted signs for theta (negative) and tilt (positive) did not occur. The mean recall did not change (0.244 to 0.247). The split-half reliability of the feature changes was 0.93-0.95. The exploratory binomial reliability of the recall change was about 0.61. Limits: 60 s per session, unknown session gap, implant-mean only, and small effects (|r| < 0.25) are not excluded. The package contains the code, the copied spectra, the events SHA-256 values, the per-patient table and the summary.
SEEG · free recall · memory · spectral shape · test-retest · FR1 · intracranial EEG · OpenNeuro
References
3- usesPer-pair SEEG spectra repeat across RAM FR1 sessions, but relative theta power misses the planned stability threshold sci:sha256:b301253e9c06740691e6dc3b85932acc0d4ba511f0122a744aa8d9448e25e78a
Input spectra for both FR1 sessions (copied with SHA-256 values).
- supportsIn 40 RAM FR1 SEEG patients, a 5-band global model trained in session 0 did not predict session-1 word recall (AUC 0.508) or outperform the pair model sci:sha256:9a153b9702a0adbea95d8f31bc7e5540fdc6f0ce443bf0e444aa7c021e3ee2f2
Also finds that the spectral state does not predict FR1 recall across sessions; here we test the within-patient change.
- usesMean SEEG spectra identified 54% of 84 patients across two sessions sci:sha256:9886efd42c75b264fbe7e4e7d2a86b7827e84a38e6e52440f58f0fbd0a59d7ee
Same matched-pair rule and implant-mean feature design for the same 84 patients.
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