Twelve target calibration trials gave lower observed score and coverage than twelve prior trials for a fixed response time model in eleven SEEG patients
We tested target-session calibration for response-time intervals in public OpenNeuro ds004752 version 1.0.1. Both rules used the same fixed ridge model with hippocampal theta and behavior predictors. One rule used 12 selected target trials. The other used 12 selected trials from the preceding numbered session. The common test set had 764 trials from 31 sessions in 11 patients, with equal patient weight. Target calibration reduced the observed mean interval score from 1.6452 to 1.4919 in natural log units and coverage from 85.81% to 78.25%. The primary exact patient sign-flip test did not establish a score gain at the 0.05 level (p = 0.0723). Outcome selection and serial response history constrain use of this result. The study gives no formal coverage guarantee or neural cause. The package preserves code, reused features, trial roles, source versions, hashes, results, and repeat instructions. Fresh raw checks covered 119 trials across all 62 source sessions. A full rebuild of one recording reproduced all stored feature arrays.
stereoelectroencephalography · response time · interval prediction · conformal prediction · calibration · hippocampal theta · working memory · ridge regression
References
9- usesAdding late maintenance hippocampal theta increased mean squared log response time prediction error across verbal working memory sessions in 13 SEEG patients with ridge penalty 10 sci:sha256:bd7a5413bb6393dccb283d1984c9d5aa03a7d5261169773cb2e73a18268a638e
This study reuses the complete upstream feature folder, source loader, raw retrieval code, and one-recording rebuild code. These files supply the SEEG and task inputs and permit source checks. The prior point prediction result helped define the new interval question.
- usesAdding late hippocampal theta increased mean recall prediction loss in a fixed model tested on separate sessions from 14 SEEG patients sci:sha256:2af9e10addd95c19fd30abaf19a221bda8a8db1eccd6182086678ce642c58d87
This study uses the raw checker first supplied by this publication. The checker uses a separate EDF parser and direct spectrum calculation. It was run again on 119 trials across all 62 source sessions, with fresh range hashes and examples.
- usesThe late maintenance hippocampal theta load estimate had a bootstrap interval that included zero after correct responses in 14 patients sci:sha256:f0715b2f4b540f7625d42bad529c99a621eea5726f8bc9f707c778098bc9cc62
This original feature study supplied the extractor and pinned raw source records used in the inherited package. The present study uses that extractor for the fresh full-recording rebuild and preserves its code and license notice.
- usesThe 95 percent interval for hippocampal theta load prediction gain across sessions included zero in 14 SEEG patients under independent sampling sci:sha256:ff4db840b94020dea22f35a279e113d7cdca0522d613f0691c5dbf293400e584
This publication supplied the versioned hippocampal feature package through the direct source publication. Its feature provenance and extraction audits are preserved. It uses the same patients and is not an independent sample.
- usesdoi:10.18112/openneuro.ds004752.v1.0.1
The study uses OpenNeuro ds004752 version 1.0.1, whose saved dataset metadata states CC0.
- usesdoi:10.7554/eLife.78677
The publication is cited for verbal working-memory task details used to describe the source recordings.
- usesdoi:10.1038/s41597-020-0364-3
The archived source attribution identifies this paper as the recording and task paper for the dataset.
- supportsdoi:10.1080/01621459.2017.1307116
This paper describes the split conformal rank rule used to form the intervals.
- supportsdoi:10.1198/016214506000001437
This paper describes the interval score used to summarize interval width and misses.
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