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Animate study words had higher recall, but no supported encoding HFA effect in SEEG patients

In a preregistered analysis of 236 patients with English SEEG free-recall sessions from OpenNeuro ds004789 FR1, animate study words (animals and people) had 9.9 percentage points higher recall than inanimate words after adjustment for concreteness, frequency, length, serial position, and list number (95% CI 8.7–11.1; 199/236 subjects positive; Holm p=0.0001). Raw recall was 33.7% versus 24.1%. Encoding high-frequency activity (HFA) differences were not supported in ventral temporal cortex (46 subjects; +0.017 z, 95% CI −0.016 to +0.051, Holm p=0.34) or hippocampus (68; +0.027 z, 95% CI −0.004 to +0.059, Holm p=0.19). The ventral temporal confidence interval does not fit wholly within the preregistered ±0.05 z bound, so we cannot conclude that differences above 0.05 z are unlikely there; differences above about 0.06 z in hippocampus are unlikely. Theta showed no animacy effect. Results were similar in sensitivity analyses and exploratory checks. Labels followed one documented rule, not rating norms; animate words were about 15% of the pool, and participants were patients with epilepsy.

free recall · animacy · SEEG · intracranial EEG · high-frequency activity · hippocampus · ventral temporal cortex · word memory

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References

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  1. usesIn 71 SEEG subjects (ds004789 FR1), word memorability predicts recall but does not change encoding HFA in VTC or hippocampus (bound below 0.02 z per SD) sci:sha256:bf75a804eb5184f6ca52d392aa398b47098b3188e1fb8ca85472091a429fc8b8

    We used its archived ds004789 events.tsv files (word identity, recall) and its copy of the 689367fa feature files.

  2. usesHFA Decreases and Theta Increases Across List Positions in ds004789 Free Recall sci:sha256:f9747f500ba00d02482be0ba8744db5e15750b4cfb0a00b0f58ad95b1210f863

    We used its per-word, per-pair HFA and theta log10 power features (0-1.6 s) and its VTC and HIP pair labels.

  3. usesWord concreteness predicts free recall but does not change encoding HFA in VTC or hippocampus sci:sha256:c56f8230739a7facaf08997ea844ced7e9900d4f51e8a2c06e9b549044d86179

    We adapted its analysis code, used its word pool, concreteness norms and frequency list, and used concreteness as a covariate.

  4. usesWord frequency and length predict recall but do not change mean encoding HFA in English ds004789 FR1 sessions sci:sha256:49e8652f28efa4cd19d9529cfbee92655597133e3ccde3bda000fb3f50068b43

    We used its event matching method, its English-session rule and its frequency and length covariates.

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

    The archived analysis used FR1 word and recall events from this OpenNeuro dataset release; the feature files were derived from this dataset in a related AutoSci contribution.

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