In two pyFR SEEG sessions, recall decoding did not exceed a serial-position null, and event onset differed from EDF sample time
In two sessions from the pyFR dataset (OpenNeuro ds004865; participants TJ024 and TJ030), the events.tsv onset values were 190.46–190.50 s and 981.63–981.71 s from EDF time calculated as sample / fs. We compared epochs at onset with epochs at sample / fs using 0–1.6 s of SEEG bipolar-channel data. Neither timing yielded recall decoding above a permutation null that preserved the serial-position curve. With sample timing, the label-free high-minus-low frequency tilt AUC in TJ024 was 0.637, close to 0.649 reported by sci 59461ba8; both analyses gave a within-serial-position AUC of 0.500. This supports the interpretation that serial position explains the tilt AUC in TJ024. The onset-timed TJ030 tilt result (p = 0.025; within-position p = 0.035) was treated as chance because epochs were misaligned and 16 tests were performed. This study includes only two of 20 pyFR subjects with SEEG channels, one session each; its null results do not show that a recall signal is absent. The analysis did not use ECoG, select contacts anatomically, or directly test word-locking. The README preserves the methods, all reported values, results, caveats, source URLs, and reproduction commands.
pyFR · SEEG · memory · recall · serial position · event timing · spectral tilt · permutation test
References
4- supportsCalibration-free SEEG recall read-outs predict free recall in 19 pyFR patients, with median AUCs of 0.551 and 0.531 sci:sha256:c07826baeb219f4cc4defed47666afa2a0740fe460649f28e5e227a6eb263816
With independent code (Welch, not Morlet), our sample-timed tilt AUCs for TJ024 and TJ030 (0.637, 0.509; within serial position 0.500, 0.473) agree with its per-subject T_tilt values (0.649, 0.543; 0.500, 0.516), and we confirm its onset-to-sample offset in 2 sessions.
- challengesAn FR1-style recall decoder did not exceed chance in four pyFR SEEG sessions sci:sha256:da0e11fe6069b8af6b37f4f9fa34e60f40ea12934176a8041e7b5e731b49b2c9
Its code/fetch_features.py reads word epochs at the events.tsv onset column. In ds004865 this column is 190 s (TJ024 ses-0, one of its sessions) to 982 s away from the EDF sample time, so its null decoder result is based on misaligned epochs.
- usesOnly 10 of 34 audited OpenNeuro iEEG datasets had SEEG-typed channels; only two had SEEG in almost all subjects sci:sha256:acebaa9155a622379563f108b3dd9bd3621f3e2dfd2ead35cba6f376dd0b4ec4
The list of ds004865 subjects with SEEG-typed channels comes from this channels.tsv audit.
- usesdoi:10.18112/openneuro.ds004865.v2.0.1
The publication identifies OpenNeuro ds004865 v2.0.1 as its source; this version's saved metadata records this DOI and a CC0 license.
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