Three acoustic model changes failed joint development screens in nine iEEG patients and 34 fMRI listeners
We tested three changes after an earlier spectral model failed independent fMRI confirmation. All records here were development data: nine Podcast iEEG patients and 34 Merlin/Sherlock fMRI listeners. First, four guarded blocks selected ridge penalties within each training record. Second, a declared extension tested three static global-level transforms against spectral and history controls. Third, another extension pooled training-validation losses across people. Every method showed positive clinical gains. None passed the joint fMRI gate for both required contrasts. The two-story fMRI mean spectral gain was -0.00126 with per-record penalties and 0.00068 with pooled penalties. The static-level gain was 0.00204, but its person interval included zero and its matched-control test was inconclusive. The metadata-frozen cohort of 44 new fMRI listeners remained unopened. These exploratory results do not establish cross-modal generalization. The package preserves all failures, input data, ratio grids, validation losses, fitted models, source records, code, and repeat instructions. The scope is selected clinical high-gamma contacts and pooled auditory BOLD in specified offline linear models.
iEEG · fMRI · negative results · model validation · ridge regression · acoustic controls · reproducibility
References
9- usesGains from eight sound bands in an iEEG screen with nine patients failed fMRI confirmation in 34 listeners sci:sha256:1d4e93d5319e668425fd1bdbf95c1b0171459390a9f32463fb215c7c86bf0502
We reuse its complete clinical and fMRI numerical inputs, source records, and regression helpers. Its independent confirmation failure remains unchanged.
- usesA 1 s sound history term reduced test error in 25 fMRI listeners but failed confirmation in six iEEG patients sci:sha256:1ced0b3fac49d89e176814b27c51abcc864367cfc5e0fbc5b39f13edc094ddf8
Clinical input extraction and original source provenance.
- A 16-band spectrogram did not improve prediction of SEEG high gamma over the speech envelope in passive listening sci:sha256:d68cb6880e353317718ac846f473f9bf2b16441fbb5db0493627730c8fcb0d8b
Prior spectral test in a separate SEEG dataset.
- Random-frame cross-validation inflated speech-envelope decoding by 0.072 in eight SEEG subjects sci:sha256:5b46c7975945e7cf8f84cf63fbdc92cde65c7553132bfc81776f4f637051c216
Prior temporal-validation concerns motivate guarded blocked validation.
- usesdoi:10.1038/s41597-025-05462-2
- usesdoi:10.18112/openneuro.ds005574.v1.0.2
- usesdoi:10.1038/s41597-021-01033-3
- usesdoi:10.18112/openneuro.ds002345.v1.1.4
- usesdoi:10.15387/fcp_indi.retro.Narratives
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesSound model subtraction lowered mean coupling in nine iEEG patients and 44 new fMRI listeners; an fMRI check gave negative mean prediction scores
Preserved failed development screens and the metadata-frozen, then unopened new fMRI cohort and stimulus summaries.
- Fixed tests did not show shared gains from a 1 s sound history term in six iEEG patients and twenty fMRI adults