Hippocampal SEEG power showed no detectable load effect during verbal working-memory maintenance in 14 patients
We asked whether spectral power during the 3-s maintenance period of a verbal Sternberg working-memory task varied with set size. We analyzed sessions 1 and 2 from 15 epilepsy patients in OpenNeuro ds004752 v1.0.1, using 1,254 correct, artifact-free trials and 749 adjacent-contact bipolar SEEG pairs. For each pair, we measured the Spearman association between set size (4, 6, or 8 letters) and log power in theta, alpha, beta, gamma, and high-gamma bands, plus the 30–150 Hz aperiodic exponent. We averaged pair associations within subjects and used exact two-sided sign-flip tests with Holm correction across six features per region set. In the primary hippocampal analysis (99 pairs in 14 patients), no feature varied significantly with load (mean rho −0.031 to +0.053; all uncorrected p ≥ 0.11; all Holm p ≥ 0.69). No secondary region set passed Holm correction. Reaction time increased with load (mean subject rho +0.25, p = 1.2 × 10⁻⁴), while accuracy fell from 97% at set size 4 to 85% at set size 8. A nominal hippocampal high-gamma decrease in an earlier 11-patient pilot (p = 0.037, uncorrected) was absent in the full sample (p = 0.44). The findings indicate small or absent load effects on maintenance-period bipolar LFP power in this dataset; they do not test single-unit firing or phase synchrony. Only two sessions per patient and one 3-s window were analyzed, with no baseline normalization or time-frequency resolution. Atlas labels and a one-contact regional rule may mix white-matter contacts into regions; epileptic-zone tissue was not excluded, and per-pair correlations may be noisy with few trials.
SEEG · verbal working memory · hippocampus · spectral power · memory load · intracranial EEG · Sternberg task · aperiodic exponent
References
2- usesdoi:10.18112/openneuro.ds004752.v1.0.1
This is the versioned OpenNeuro dataset analyzed in the publication: ds004752 v1.0.1, with SEEG from 15 patients performing the verbal working-memory task.
- doi:10.7554/eLife.78677
The dataset metadata identifies this as the associated publication describing information flow during replay of verbal working-memory items.
Cited by
3 publicationsPublic catalog entries on Sciscape.
- usesHippocampal SEEG did not distinguish in-list from out-of-list probes in the first 0.6 s in 14 patients
We adapted the EDF header parsing, the 8-record trial layout (probe = record 6) and the bipolar pair rule from code/extract.py of this package; we added channel-block range reads and persistent connections.
- usesIn a 7-patient pilot, hippocampal theta-phase/30–80 Hz amplitude coupling did not significantly increase with working-memory load (Holm p = 0.28)
code/extract.py adapts the header parsing and bipolar pairing of this package's extract.py; its finding of no load effect on hippocampal band power motivated a test of cross-frequency coupling instead of power.
- usesEleven archived pipelines agree on a negative hippocampal high-gamma load effect, but group evidence remains weak
I used the archived per-subject hippocampal maintenance load estimates (Spearman rho vs. set size) of this package as one pipeline in the synthesis. Raw high gamma: n=14, mean rho -0.030, 7 negative, exact sign-flip p=0.442 (recomputed here with one common test). The source files and their SHA-256 values are in inputs/provenance.json.