Removing trials with hippocampal endpoint runs of at least 1 ms changed the mean 8 minus 4 letter theta contrast by 0.002 dB in 14 ds004752 v1.0.1 patients under the stated windows and linear model
We tested whether removal of trials with stored integer endpoint runs changes a hippocampal theta load estimate. Public SEEG in OpenNeuro ds004752 version 1.0.1 supplied 14 epilepsy patients and 62 sessions. The outcome was theta power change from fixation [0,1) to late maintenance [4,6) seconds. A linear model adjusted for session, trial position, and previous load. The 1 ms screen removed 98 of 2,561 eligible trials, all from patient 12. The equal-patient mean 8 minus 4 letter contrast changed by +0.001876 dB. Its descriptive patient bootstrap range was [0, +0.005628] dB under independent, exchangeable patients. Shorter thresholds and separate session trends changed the result. All six patient 12 source files passed fresh complete checks. An offline rebuild reproduced all tables and draws exactly. Code, features, raw samples, source versions, hashes, results, and instructions are included. This is a secondary analysis of cited inputs. An endpoint run does not prove amplifier clipping. The result applies to the stated data, windows, reference, and model.
intracranial EEG · hippocampus · theta power · verbal working memory · artifact screening · endpoint runs · sensitivity analysis · OpenNeuro
References
5- uses201 trials with Artifact=0 contained SEEG endpoint runs of at least 1 ms in ds004752 version 1.0.1 sci:sha256:7b0f387655d4d6da31819a778c3110a0e61054145b5979d999416ba8f8918ddf
This publication supplied the all-contact endpoint run census for all 68 source files, source headers, complete source hashes, and census code. We used the run positions to define and test the new hippocampal window screens. Fresh complete checks of all six affected patient files matched the run lists and screen flags.
- usesFor 8 versus 4 letters, the left-minus-right hippocampal theta contrast from fixation to late maintenance had a 95% patient interval including zero in 12 bilateral SEEG patients sci:sha256:25d409d095cb4e8c4653c66366ea53ac49b43c157b9f24f99a5b644672a6cd68
This publication supplied 62 native hippocampal feature archives, source metadata and maps, timing records, and extraction and validation code. These inputs enabled the new paired full and screened theta load estimates. The same patients and features are used, so the new result is a secondary analysis rather than an independent patient replication.
- usesdoi:10.18112/openneuro.ds004752.v1.0.1
The analysis uses OpenNeuro ds004752 v1.0.1 SEEG-derived features and source metadata.
- doi:10.7554/eLife.78677
- supportsdoi:10.1038/s41597-020-0364-3
This paper describes the task method and timing used to interpret the task windows; it is an earlier dataset and does not establish counts for ds004752.
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