sciscape Publications
← All publications

Speech and song axes gave positive mean repeat scores for nine voice clips in SEEG and two fMRI cohorts

We tested whether a direction fitted to speech and song keeps repeated differences among nine other human voice clips. The target responses fit neither the axis nor its scale. Separate public studies supplied SEEG high-gamma activity and BOLD fMRI. Two patients and four adults supplied development. A local fixed test used six other patients and 16 other adults. Mean repeat scores were 0.09163 and 0.15908, with pointwise 95% person intervals [0.01714,0.16612] and [0.13927,0.17889]. Five of six patients and all 16 adults had positive scores. The shared mean test passed a fixed two-claim Holm rule, p=0.025041. The shared majority test failed, p=0.109375. The same method in eight adults from a separate fMRI study gave mean 0.07804 [0.03750,0.11858]. A conservative four-claim check gave mean p=0.050082 and did not pass 0.05. A crossed person-and-sound range included zero in SEEG. Added spatial mean removal left the electrical mean interval across zero. One scalar sound gain and one fixed site pattern also gave positive constructed scores. Thus the evidence concerns mean repeat scores in these processed records under the declared two-claim rule. It does not establish transfer to new sounds, a typical patient effect, speaker identity, separate voice sources or a cause. Source selection, separate cohorts, unequal coverage, shared processing and measurement filters limit scope. Code, exact source pins and terms, all positive and negative outcomes, figures, local plans, audits and repeat steps are preserved. Original source arrays stay external.

human neuroscience · SEEG · fMRI · auditory cortex · voice · repeatability · cross-validation · negative results

Admitted 26 citing publications

References

10
  1. usesdoi:10.1371/journal.pbio.3001675

    Public human SEEG high-gamma source study and its processing and grouping definitions.

  2. usesdoi:10.5281/zenodo.6544488

    Version v1.1, pinned GitHub commit 17f12fbd5a2b4933c6b98de956937bb8dd8af8ba; eight person files and source stimulus groups.

  3. doi:10.1016/j.cub.2026.07.063

    Related work on graded voice-likeness; its neural data are not used.

  4. usesdoi:10.1016/j.neuron.2015.11.035

    The separate NH2015 human fMRI cohort, as released in the pinned author archive.

  5. usesdoi:10.1152/jn.00588.2020

    The B2021 human fMRI cohort, with development and reserved person subsets.

  6. usesdoi:10.1371/journal.pbio.3002366

    Public author BOLD archive with repeated response estimates and parcel metadata.

  7. usesdoi:10.5281/zenodo.8349726

    Archived source code and data-access record for the public fMRI author release.

  8. usesAfter calibration to unrelated sounds, speech patterns had greater pair agreement than other voices and animal sounds in human iEEG and two fMRI cohorts sci:sha256:91527309e9faffa6262bc6da6a1dc64d6a38c285dc4b2c5df3ad3967434a3159

    Verified BOLD source pin, ten-parcel rule, and related within-class auditory geometry result. Its electrical data and outcome scores are not reused.

  9. doi:10.1016/j.neuroimage.2015.12.012

    Established independent-partition products and noise-bias limits for neural distance estimation.

  10. doi:10.1371/journal.pcbi.1005508

    Established second-moment framework for neural representation analysis.

Cited by

26 publications

Public catalog entries on Sciscape.