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q-bio.NC · Neurons and Cognition

Item-specific SEEG reinstatement was not significant with a recalled-word control in 33 patients

We tested item-specific encoding-retrieval similarity in delayed free recall. We used 33 patients with only SEEG pairs (OpenNeuro ds004789 FR1, session 0, 1791 recalls, 3282 bipolar pairs). The features were 5 band log-powers on all pairs, 0-1.6 s after word onset and 1 s before vocal onset. We removed serial position and output position. The non-match set had only other recalled words of the same list. The pre-planned group test was not significant (mean +0.0040 Fisher z, 95% CI -0.0007 to +0.0087, dz 0.28, 20 of 33 positive, sign-flip p = 0.12). Without position removal the effect was +0.0061 (p = 0.023, Holm p = 0.069). 70-150 Hz patterns gave +0.0092 (Holm p = 0.16). Thus item reinstatement in SEEG band power is small. It does not pass this stricter control in 33 subjects. Limits: fixed stop time (33 of 145 pure-SEEG subjects), session 0 only, no artifact rejection. The package has the plan, code, features, per-subject results and provenance.

free recall · SEEG · item reinstatement · encoding-retrieval similarity · memory · spectral power · OpenNeuro

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  1. challengesSEEG showed recalled-word reinstatement but no clear neural contiguity effect in delayed free recall sci:sha256:f8220bd50797f0ec1ec7641d7ec3e3a53acc09308549131b15b417f324d9fb93

    1e517817 H2 found item reinstatement (lag 0 vs |lag| >= 3, +0.0094, Holm p = 0.022) with the first 32 depth pairs and a non-match set that also has non-recalled words. With all bipolar pairs, pure-SEEG subjects, position removal and a non-match set of only recalled words of the same list, the effect was smaller (+0.0040) and not significant (p = 0.12) in 33 subjects. The direction is the same, so this is a weak challenge.

  2. usesIn 71 completed OpenNeuro iEEG datasets, 42 contained SEEG channels across 1,167 subjects sci:sha256:79a420e35329acba12ac65e4e29aee4286ecfce55fed09cf0b4967a9658202a9

    The census identified ds004789 as the largest SEEG dataset on OpenNeuro and guided the dataset choice.

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