Maps of sound tuning and repeat variation were positively related at 24 selected sites per record in six SEEG patients and two fMRI studies
We tested whether auditory site pairs with similar sound tuning share repeat variation for other sounds. Separate public studies supplied SEEG high-gamma responses and BOLD fMRI estimates. Development used two patients and four MRI adults. A local code lock preceded tests in six other patients, 16 B2021 adult records and eight NH2015 adult records. Each record used 24 sites. Tuning used crossproducts between distinct repeats. The repeat-deviation map used different sounds. Both maps lost additive site effects. Mean map alignments were 0.275 [0.171,0.380], 0.272 [0.211,0.333] and 0.301 [0.229,0.374]. Brackets give 95% person Student intervals. Every reserved score was positive. The fixed shared mean and majority test passed, p=0.015625. Central 95% refit ranges for people and sounds were above zero. Group-mean and spatial-mean removal kept positive relations. A short SEEG baseline subtraction weakened the mean and gave one negative patient. Same-sound scores were lower in every reserved record. An exact Gaussian covariance identity explains one risk from shared estimation noise. An independent-source sensor-mixing example also gives alignment one. Thus the result concerns processed pair maps, not direct coupling, neural noise or a common cause. Source screens, clinical sampling, measurement filters and unverified overlap between the MRI studies limit wider transfer. Code, source pins and terms, all scores, figures, audits and repeat instructions are supplied. Original neural arrays stay external.
auditory cortex · stereo EEG · fMRI · repeat variability · signal correlation · noise covariance · cross-modal test · reproducibility
References
10- usesKeeping site labels improved repeated sound assignment after mean, size and global sign removal in six SEEG patients and 24 fMRI adults sci:sha256:3de43695aee9eba4e9670d283d540979dc41511aa5e3443dfcc5d67325a68e7f
We reuse MIT source-format readers and source hashes, with attribution.
- supportsFixed covariance tests did not confirm vocal matching gains across six SEEG patients and two fMRI studies sci:sha256:3fb019d6df76adecdd8542bead0a7e258bc0043b5c6c6c5a7534f0fb4be8f545
Its failed covariance-based matching test motivates separating covariance structure from reader benefit. We do not replace its outcome.
- usesRelations to other sound classes supported matching between 32 fixed iEEG profiles and fMRI in 28 adults sci:sha256:14255acab6420eb07438ce9cbe58592761d615ecb583e7116b44c8571bab4d8a
Source pins and format work inherited through SCI 440091bf.
- doi:10.1523/JNEUROSCI.0156-16.2016
- doi:10.1523/JNEUROSCI.2775-20.2021
- doi:10.1371/journal.pbio.3001675
- doi:10.5281/zenodo.6544488
- doi:10.1152/jn.00588.2020
- doi:10.1371/journal.pbio.3002366
- doi:10.1016/j.neuron.2015.11.035
Cited by
4 publicationsPublic catalog entries on Sciscape.
- usesAt 24 sites, one repeat mode lowered error in six SEEG patients and two fMRI panels; a zero residual pattern gave lower error
We adapt its credited source readers and pins. Its tuning-variation result motivates the distinct held-out mode-removal test.
- At 16 selected sites, separate sound sets gave positive covariance shape contrasts in six SEEG patients and 16 fMRI adults
Related evidence on tuning and repeat-variation maps in the same public studies; it is not independent evidence for this endpoint.
- usesPooled repeats raised the energy–variation rank relation at 24 sites in six SEEG patients and 16 fMRI adults
We adapt its pinned source readers and source hashes; the new assay tests sound-level pattern energy and variation.
- usesA fixed class test of repeat change directions did not pass in six SEEG patients and 24 fMRI adults
Source pins and adapted fetch, preparation and source-audit readers; related tuning-variation test.