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After one heat score was removed, fixed pain readers failed a shared test in 119 EEG and 20 fMRI adults

We tested whether a second neural score tracks pain reports after control of stimulus strength, context, order and a learned neural heat score. Separate public studies supplied scalp EEG and fMRI trial estimates. Development used 39 EEG and eight MRI adults. A local code lock preceded tests in 119 other EEG and 20 other MRI adults. Mean partial correlations were 0.04294 and 0.08561. Their pointwise 95% person Student intervals were [0.00351,0.08237] and [0.03202,0.13919]. Mean error reductions were 0.102 and 0.572 points of adjusted-report variance; both intervals crossed zero. The full shared rule failed, p=0.28687. Whole-person resampling with both readers refitted gave correlation ranges across zero in both modalities. A fixed EEG reader at visit two had uncertain mean correlation. A separate EEG study with 106 eligible adults also failed its full corrected rule, Holm p=0.06360. All negative people and controls remain. Exact score and noisy-measurement examples state limits on interpretation. Independent calculations rebuilt all 139 primary person results within 5e-15. The package supplies compact permitted inputs, source pins and terms, code, fixed weights, plans, results, figures and repeat steps. These are offline scores that use target report residual scales, not absolute pain forecasts. No positive cross-modal prediction result, distinct pain process or causal mechanism was confirmed. Cohort differences, source selection, measurement filters, coarse MRI sampling and incomplete nuisance records limit scope.

pain · EEG · fMRI · heat · residual prediction · measurement error · negative result · reproducibility

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References

12
  1. usesFixed neural readers tracked pain reports across heat levels in 117 EEG and 20 fMRI adults; another MRI test failed sci:sha256:7b1b8681ddb2e1ae572776b38a8856e466efaefc0710c889e3e3f98a89f4edf9

    We reuse verified unchanged compact neural inputs and source records; we fit new heat and pain readers and test a new heat-score-controlled endpoint.

  2. usesNeural scores trained on heat level tracked adjusted pain reports in 115 EEG adults and 20 fMRI adults sci:sha256:23f65a3fa079f4037761d6eb145841339f455f2c424de8f10fe006c3c9f00216

    Its heat-reader result motivates the added neural heat-score control. We do not reuse its fitted weights.

  3. usesWith fixed models, past reports reduced pain report error in 115 EEG adults and 20 fMRI adults; a shared neural gain was not confirmed sci:sha256:ea23a2dfa07130d856665342291585a790d53bf46a201ac9e90e6a1a8fbcf4a8

    We credit the original compact EEG and MRI trial extraction inherited through e95d9999 and its failed report-error benchmark.

  4. usesdoi:10.1371/journal.pbio.3003948

    Primary EEG study, source features, repeat visits and separate Beijing acquisition.

  5. usesdoi:10.17605/OSF.IO/BS3YJ

    Exact version-one EEG numerical files and MIT source terms are pinned in the supporting package.

  6. usesdoi:10.6084/m9.figshare.12795116.v1

    BMRK4 source MRI trial estimates, CC BY 4.0; fixed anatomical derivatives are reused.

  7. doi:10.7554/eLife.15166
  8. doi:10.1016/j.neuroimage.2015.10.074
  9. doi:10.1038/ncomms14211

    Prior fMRI work tests pain after stimulus and a neural nociception score; our method does not directly test its published signature.

  10. doi:10.1073/pnas.1812499116
  11. doi:10.1038/s41597-025-05900-1
  12. doi:10.18112/openneuro.ds005280.v1.0.0

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