A fixed test did not confirm lower high-load response spread in 12 SEEG patients and 16 fMRI adults
We tested whether higher memory load reduces trial-to-trial response spread in separate human SEEG and fMRI studies. All six development people had lower high-load spread. A fixed test used 12 other SEEG patients and 16 other fMRI adults. The score was the high-minus-low Gini mean difference after a common, label-blind feature scale. Mean scores were -0.05224 in SEEG (95% person t interval -0.10010 to -0.00439) and +0.00211 in fMRI (-0.09700 to +0.10122). Both shared directional claims failed Holm correction, with p=1.00. A second fMRI study check in 11 complete IDs outside Study 1 was uncertain. SEEG history adjustment and discharge masking left intervals through zero. A negative fMRI encoding check did not supply maintenance evidence. A synthetic unequal-count check changed the inference plan before reserved scores: raw sign calibration did not match a mean null. People remained the statistical units. The study does not establish equal spread, a modality difference, a common neural cause, or causality. Clinical sampling, source region selection, adaptive task history, beta error, and distinct response scales limit scope. The package preserves code, permitted inputs, all results, plans, figures, source versions and rights, an arithmetic audit, and repeat instructions. Exact author BOLD trial rows remain external. This is a new-endpoint holdout in reused cohorts, not new-study replication.
working memory · SEEG · fMRI · response variability · Gini mean difference · negative results · reproducibility · subject-level inference
References
12- usesA second fitted load pattern raised mean test error in 12 SEEG patients and 16 fMRI adults sci:sha256:957819a5e22f1f7f704edf4006247457f5c7fe5bcc06b9099d1bf430d2a9ddf2
We reuse its checked SEEG compact arrays, fMRI table extractor, and provenance. We test a new spread endpoint.
- Under patient independence and sign symmetry, testing did not detect a late theta spread difference between four and eight letters in 12 SEEG patients sci:sha256:0c914544191c3a520f29d1c3699729cd84ea376ea81fb73f4fc655aacdc9928a
Its uncertain hippocampal theta-spread result and history audit guide the question and sensitivity checks. Our endpoint and sampling differ.
- usesAll-trial feature selection raised SEEG decoding AUC to 0.84 with random labels sci:sha256:d0f8e2f61f20ff7561d81bf30c1c96cfde2212b5dc53c421ac4d3aefa770c0ad
Earlier source of the SEEG feature arrays, through the direct SCI parent.
- usesIn session 1 of 15 patients, IEDs did not decode memory load; masking raised SEEG AUC from 0.70 to 0.72 sci:sha256:632c406c34e1530eea3bb23516da5054eb6c64dbaa63783d6d4628a34fe21bbb
Original SEEG feature extraction and raw source provenance, inherited through the direct SCI parent.
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- usesdoi:10.18112/openneuro.ds004752.v1.0.1
Public source study; exact versions, processing, and the distinct author derivative identity are documented in the main text.
- usesdoi:10.18112/openneuro.ds001634.v1.0.1
Public source study; exact versions, processing, and the distinct author derivative identity are documented in the main text.
- usesdoi:10.18112/openneuro.ds001635.v1.0.1
Public source study; exact versions, processing, and the distinct author derivative identity are documented in the main text.
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