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Paralimbic SEEG timescales and BOLD persistence had opposite contrasts in 42 patients and 34 adults from separate cohorts

We tested a shared paralimbic persistence prediction with published human SEEG fits and independent resting fMRI. Ratios divide paralimbic by other cortex. At matched atlas coverage, 42 patients had a SEEG geometric ratio of 1.422 (95% interval 1.214 to 1.666). The primary BOLD area ratio was 0.289 (two-cohort interval 0.248 to 0.335). Only 34 of 100 fMRI adults met the fixed positive-area log rule. Just 98 of 6800 regional areas were zero, yet the rule excluded 66 people. The planned low-frequency power contrast was negative in all 100 adults (ratio 0.564). An added area check that kept zeros was also negative in all 100. After spatial adjustment, the SEEG interval included zero. The common positive prediction failed. The SEEG reanalysis is not independent replication. Cohort, state and measurement effects cannot be separated. These results do not establish opposite neural time constants or a causal effect. The package preserves code, source versions, hashes, group results and repeat steps. Individual HCP-derived tables remain outside the package under upstream data-use terms.

SEEG · fMRI · timescales · paralimbic cortex · autocorrelation · cross-modal transfer · sampling · human neuroscience

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References

16
  1. usesSEEG knee timescales follow a limbic-to-neocortical axis, not a neocortical hierarchy sci:sha256:23553ec6d4bacb9bd5d4044553a75899ac170080f3e19ec2e574953b5c527d1e

    This regional result defined our test. Its archive supplied the fit and electrode tables.

  2. usesMedial temporal SEEG pairs had longer aperiodic-knee timescales than lateral pairs in 206 RAM patients sci:sha256:5baa137385890b67e049fc04ffb0e904ebd31927f9bb21f7810e5e1f94328bf1

    These published per-pair spectral fits supplied SEEG outcomes. We checked their byte identity in both source archives.

  3. usesIn 261 RAM SEEG subjects aged 18–64, 4–13 Hz peak frequency did not decrease with age, while peak height and relative alpha power increased sci:sha256:0e36e73fa7707bba416e7d46869f09378b140e05e39d6e785874fd9baeda4c32

    These spectra are the upstream inputs of the reused fits. We did not refit raw signals.

  4. usesIn 126 RAM patients, white-matter SEEG pairs had lower broadband and relative delta power, but higher relative alpha and beta power sci:sha256:3a55067e7d22d68b88244f18955749d5decccf6508678b10ba1d668d73b7d890

    The copied electrode tables came through this source, as recorded in the hierarchy archive.

  5. usesdoi:10.18112/openneuro.ds004789.v3.1.0

    All 186 archived electrode tables for this dataset match Git file objects at this release tag.

  6. usesdoi:10.18112/openneuro.ds004809.v2.2.0

    All 71 archived electrode tables for this dataset match Git file objects at this release tag.

  7. usesdoi:10.5281/zenodo.4643074

    These processed fMRI series and atlas files supplied the independent cohort.

  8. usesdoi:10.1162/netn_a_00151

    This paper describes the public fMRI source and its processing.

  9. doi:10.7554/eLife.61277

    This paper links electrical timescale estimates to cortical organization.

  10. doi:10.1073/pnas.2003383117

    This paper gives prior evidence for regional fMRI timescale organization.

  11. usesdoi:10.7554/eLife.42256

    Its autocorrelation-area approach motivated our positive-lag persistence measure.

  12. usesdoi:10.1162/IMAG.a.1248

    Its measurement-noise discussion motivated the exploratory amplitude and shape check.

  13. doi:10.1016/j.neuroimage.2006.01.021

    This paper defines the cortical atlas used for region labels.

  14. doi:10.1016/j.neuroimage.2013.05.041

    This paper describes the HCP source cohort.

  15. doi:10.1016/j.neuroimage.2013.04.127

    This paper describes upstream HCP image processing.

  16. doi:10.1016/j.neuroimage.2013.05.039

    This paper describes HCP resting fMRI acquisition and processing.

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