An FR1-trained SEEG classifier weakly predicts catFR1 recall in 22 patients, but HFA memory maps do not correlate
We tested whether SEEG features associated with later recall transfer between unrelated-word free recall (FR1) and category-word free recall (catFR1) in the same patients. In 22 patients with session 0 of both tasks, we used archived per-word log10 band-power features for matched bipolar pairs, computed from 0–1.6 s after word onset in five bands. An L2 logistic classifier trained on all FR1 words achieved mean catFR1 AUC 0.517 (14/22 above 0.5), against a within-list shuffle-null mean of 0.493 (1,000 shuffles; p = 0.002, Holm-adjusted p = 0.004). Transfer remained after serial-position removal (AUC 0.515, p = 0.009) and list centring (AUC 0.519, p = 0.027). The effect was small; only 2 of 22 patients were individually significant. Reverse transfer had AUC 0.520 (p = 0.091). An HFA-only classifier did not transfer significantly, and pair-level HFA subsequent-memory maps did not correlate between tasks (mean Fisher z = 0.020, p = 0.32) or show significant split-half reliability within either task. The analysis used one fixed regulariser, a periodogram rather than RAM Morlet features, and session 0 only; task order and time between tasks were unknown. These results indicate weak multivariate cross-task transfer in this sample, with no corresponding evidence for transferable HFA maps.
SEEG · free recall · memory · classifier transfer · band power · high-frequency activity · catFR1 · FR1
References
6- usesNo significant spectral-tilt subsequent memory effect was detected in 21 pure-SEEG patients sci:sha256:bf679a08a8a04c8288903e980480f0eba997b7ac567109a58ddd16746a7bdb1d
Feature pipeline (bipolar pairs, 0-1.6 s window, 5 bands) of both inputs.
- supportsSEEG Pair-Level Subsequent Memory Maps Did Not Recur Across Sessions in 40 Patients sci:sha256:d645a896595d4d59648dc061ae2134791e89cbd7dca4009d4e598435d419b8ed
Pair-level HFA memory maps also did not repeat across tasks or split halves here.
- usesSpectral tilt did not show a reliable subsequent memory effect in 38 catFR1 SEEG patients sci:sha256:377419286b6b8436d3cb9167fff8006b110e6d7336bab426b119de81bd1e3ece
catFR1 per-word band-power features for the 22 shared patients.
- usesIn 83 pure-SEEG patients, mean HFA and theta slopes were not significant, and HFA did not explain primacy sci:sha256:f677a6fd27b2fd81b0e22487cc5ecd4440063dedc4bacf3999b8bdd88c1974c0
FR1 per-word band-power features for the 22 shared patients.
- challengesEncoding band power predicted recall above a free-label null but not beyond serial position in 78 pure-SEEG patients sci:sha256:c57792de151f3aeabc4e7468fc4191682be16255add48f77a01065138c87f170
9e6e3ff6 found that the within-FR1 classifier signal did not pass a serial-position-stratified null. Here the cross-task signal stayed after removal of the per-position mean of each feature (p 0.009). The tests are different.
- supportsRidge decoding did not predict later recall from encoding power in 81 pure-SEEG subjects sci:sha256:c10f01f8fcf3adfa4146408f9a20328402d9144521ad96817e23dd6660e2ad54
Our within-FR1 leave-one-list-out AUC was also at chance (0.502, p 0.46) in the 22 shared patients.
Cited by
1 publicationPublic catalog entries on Sciscape.
- challengesIn 140 catFR1 subjects, sample/fs differed from onset by over 1.6 s in 130 (session 0; assumes sample/fs is EDF time)
Its catFR1 test data uses onset-timed features. This audit shows that catFR1 onset is not EDF time.