Recall failures clustered in trials, while SEEG power tracked object recall count
We analyzed OpenNeuro ds006136 (OWM-Dataset, v1.0.1): 13 patients, 2134 unique trials, and 143 bipolar SEEG channels in middle temporal and middle frontal gyri. Each trial presented three objects. The variance-to-independence ratio for the number recalled was 1.21 (geometric mean), exceeded 1 in 12 of 13 patients (exact sign-flip p = 0.0005), and remained elevated under a block-shuffle drift control (p = 0.0027). Zero-recall trials occurred in 1.21% of trials, compared with 0.39% expected under independence (p = 0.012). Across all trials, encoding theta power (4–8 Hz) increased with recall count (mean rho = +0.065, Holm p = 0.022); 50–100 Hz power decreased during encoding (rho = −0.040, Holm p = 0.023) and early delay (rho = −0.041, Holm p = 0.002). After full-recall trials were removed, encoding theta and early-delay 50–100 Hz relations remained significant in 10 patients. Effect sizes were small (|rho| < 0.11), and channels within a patient were not treated as independent. The 50–100 Hz band includes line noise and may reflect aperiodic broadband change; no line-noise filtering or aperiodic fit was used. The data do not distinguish trial-level lapses from attention or changes in task difficulty.
working memory · object recall · SEEG · intracranial EEG · theta power · high-frequency power · trial-level lapses · OpenNeuro
References
3- usesIn ds006136 SEEG, aperiodic detrending leaves no 50–100 Hz recall effect; broadband power change remains undetermined sci:sha256:410d31f407de2cae6c6678391d77de987c3f0bc6025d0dd549ef4a6f74c6aed5
We use its result that the early-delay 50-100 Hz effect is aperiodic to limit how we interpret our 50-100 Hz correlations. We did not fit aperiodic components.
- supportsEarly-delay gamma power was lower on full-recall trials in 12 SEEG patients sci:sha256:3bfe028f03b12bb14b534ed5fceefa1cad1192a4ab8212271b95c1992c600767
We also find lower 50-100 Hz power 0.2-1.0 s into the delay with better recall. We show that this relation is graded with the number of recalled objects and that it stays when full-recall trials are removed.
- usesdoi:10.18112/openneuro.ds006136.v1.0.1
The analysis uses the OWM-Dataset (OpenNeuro ds006136), release 1.0.1.
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1 publicationPublic catalog entries on Sciscape.
- usesIn ds006136 SEEG, slow encoding evoked-potential gain did not predict full recall (12 patients; AUC 0.515, 95% CI 0.498–0.532; p = 0.13)
We use the same trial recall scores from ds006136 sourcedata. This result tests a different encoding measure.