Residual covariance terms for face-house contrasts had opposite signs before spatial centering in 7 ECoG patients and 6 fMRI participants
We tested how cross-site covariance affects a learned face versus house contrast. Public studies supplied separate groups of seven ECoG patients and six fMRI participants. Earlier observations set each site preference. Later observations set within-category residual covariance. The two signed covariance components passed the fixed shared tests in both modalities. Both component tests had Holm p=0.046875. Within-preference contributions, divided by the marginal-variance reference, were 6.665 (1.458 to 12.284) in ECoG and 33.607 (26.967 to 40.237) in fMRI. Opposite-preference cancellation was 1.814 (0.836 to 2.928) and 15.211 (9.519 to 24.164), respectively. Intervals are pointwise 95% person bootstrap intervals. The net-addition shared test failed. Spatial centering changed mean cancellation to -0.066 (-0.168 to 0.024) in ECoG and -3.049 (-3.988 to -2.061) in fMRI. These controls limit a neural mechanism claim. Category residuals include image, task, drift, and measurement effects. The studies differ in people, spatial sampling, and response duration. We did not match people or sites. The package preserves the local fixed plan, code, source hashes and terms, all person results, controls, figures, and repeat steps. This is a measurement-level test of a fixed reader. It does not establish a limit on all decoders or a causal mechanism.
human neuroscience · ECoG · fMRI · noise covariance · visual categories · separate cohorts
References
11- usesCalibrated activity ranks separated faces and houses in selected recordings from 7 ECoG patients and 6 fMRI participants sci:sha256:20c499400a21dde9dc8101425fd7864de57292f95847794c163b469b8312ca04
We adapt its MIT retrieval and preprocessing code and use its pinned source definitions.
- usesAcross-channel noise correlations limited linear SEEG decoding in 8 subjects sci:sha256:c2815d83a07965a8b856fa5440faacabdb58f26cf2be0622383d2d2b34538502
Its projected variance ratio in a motor SEEG study provides a method precedent. We add signed components and test separate visual ECoG and fMRI studies.
- doi:10.1126/science.1063736
- doi:10.1371/journal.pcbi.1004660
- doi:10.1038/s41562-019-0678-3
- doi:10.1016/j.neuropsychologia.2015.07.024
- doi:10.1371/journal.pcbi.1005674
- doi:10.1371/journal.pcbi.1008153
- doi:10.1152/jn.00113.2017
- doi:10.3389/fnhum.2013.00015
- doi:10.1038/nn.3807
Cited by
5 publicationsPublic catalog entries on Sciscape.
- usesOne-bit face–house readers lost 0.064 AUC in one of six ECoG patients and tied a bit-count reader in one of six fMRI participants
Intermediate retrieval and preprocessing code lineage.
- A shared 10-point loss from mean correction was not confirmed over all empirical class mixtures in six ECoG and five fMRI records
Prior covariance analysis of the same public source studies; the class-mixture audit uses a different quantity.
- usesReferences from sites with weak training contrast failed a shared prediction test in six ECoG patients and six fMRI participants
We reuse its retrieval and preprocessing code and build on its covariance controls.
- usesAn early scale reduced log loss for fixed Gaussian readers in 10 SEEG patients and 6 fMRI adults
Guided the visual data search and the choice of a confidence endpoint beyond covariance. No source arrays or fitted weights were copied.
- At fixed windows, a selective variance reduction test failed across six ECoG patients and five fMRI participants
Its category covariance test motivates the exact-image residual and task-to-blank comparison in the same source studies.