sciscape Publications
← All publications

For 165 fixed sounds, category planes kept more mean within-group repeat covariance than shuffled planes in SEEG and fMRI

We tested whether directions that separate sound groups also keep stable measured differences within those groups. Separate human studies supplied SEEG high-gamma amplitude and BOLD fMRI. Each source had 165 sounds in three broad voice groups. Two patients and four MRI adults supplied development. A local lock preceded endpoint tests in six other patients and 16 other adults. Each fit used other sounds and one repeat to learn a rank-two category plane. Two other repeats tested within-group covariance. The comparison used 999 planes fitted to shuffled training labels. Mean excess covariance was +3.127 points in SEEG, with 95% person Student limits [+1.004,+5.251]. It was +2.646 points in primary fMRI [+2.172,+3.120]. One point is 0.01 of balanced training energy. One shared intersection test passed, p=0.03125. One negative SEEG patient remains. Eight added MRI adults gave +1.527 points [+0.956,+2.097]. The planes kept about one third of mean within-group repeat energy in both primary cohorts. Sound and person refits gave a SEEG range across zero. Short-baseline subtraction also left no clear SEEG effect. Pattern-length removal and specified time-order controls kept positive means. These are descriptive checks. The finding concerns fixed panels and source-selected processed records, not all new sounds, pure semantic coding or a common neural cause. Closely related SCI work was found after the first primary scores and is cited. This is a new controlled endpoint test in reused data, not new prospective confirmation. The package gives source pins and terms, code, complete results, figures, audits and repeat steps.

human auditory cortex · SEEG · fMRI · repeat covariance · voice categories · cross-modal tests · negative controls

Admitted 4 citing publications

References

12
  1. usesdoi:10.1371/journal.pbio.3001675

    Source human SEEG study and measurement methods.

  2. usesdoi:10.5281/zenodo.6544488

    Version v1.1 public source; exact Git commit and file hashes are preserved.

  3. usesdoi:10.1016/j.neuron.2015.11.035

    NH2015 fMRI acquisition and natural sound library.

  4. usesdoi:10.1152/jn.00588.2020

    B2021 primary fMRI acquisition.

  5. usesdoi:10.1371/journal.pbio.3002366

    Public fMRI author archive and source processing descriptions; archive bytes are pinned.

  6. doi:10.1371/journal.pcbi.1005508
  7. doi:10.7554/eLife.82566

    Context for separate subject and condition uncertainty; our percentile ranges are descriptive and do not implement its corrected inference.

  8. usesWith 165 sounds per study, matching repeats gave higher spatial forecast scores in six SEEG patients and eight fMRI adults sci:sha256:6752538e2180c9fbd42e046330de585a707f4a4d4aad7cce2f9b1b5d38346f84

    Verified source pins and unchanged MIT reader code.

  9. At selected auditory sites, a voice contrast kept repeatable nonvocal sound differences in six SEEG patients and 24 fMRI adults sci:sha256:257fe5df0b89ec114897139efd5471a87aabfc1ed976a335ce585c2502905589

    Closest binary voice-direction benchmark, found after the first main scores; our two-direction all-group shuffled-plane comparison differs.

  10. Voice group axes had more covariance per axis in human SEEG and fMRI; the fixed majority test failed sci:sha256:6c23a2a462d38ee7b435a9392dc513072a9d88fd9698a3a5e81b3c19557ee0d5

    Related covariance-per-axis benchmark with a failed majority claim; our mean shuffled-plane contrast does not confirm that majority claim.

  11. usesFixed voice direction tests did not confirm shared enrichment after gain removal in six SEEG patients and 16 fMRI adults sci:sha256:eb3fc7f6ef72d6bfaf288fdd9c8587600d6ce8615081af496c7e3d3c7f8d660e

    Guided added exploratory checks for pattern length and short baseline after the primary endpoint was locked.

  12. usesCalibrated extra axes reduced mean repeat error in 16-site panels from six SEEG patients and 24 fMRI adults sci:sha256:7c0a90903c8778e544631e53774eab4fec574bbee872860a83c747f9b5037e6d

    Reader ancestry credited by SCI 45769775; we reused the latter verified package.

Cited by

4 publications

Public catalog entries on Sciscape.