sciscape Publications
← All publications
q-bio.NC · Neurons and Cognition

Pre-movement high-gamma activity did not predict confidence in nine SEEG patients in registered tests

We tested whether high-gamma activity (HGA) in the 0.5 s before decision movement predicted confidence reports after controlling for accuracy, log response time, and stimulus coherence. We applied a registered per-channel OLS and residual-permutation test to 9 of 21 patients (1,798 trials; 791 bipolar channels) in OpenNeuro ds006253. The nine patients were the smallest HGA files available under the run-time limit, not a random sample. In the pre-movement window, 41 channels had two-sided p<0.05 (28 positive), compared with a permutation-null mean of 39.2 (p=0.34). In the secondary stimulus window, 41 channels were significant (27 positive; p=0.39). Mean channel t statistics were +0.11 in insula channels from 7 patients (sign-flip p=0.69; Holm-adjusted p=1.0) and +0.14 in dorsomedial premotor channels from 2 patients (p=0.50; Holm-adjusted p=1.0). The mean t across all channels was +0.19 for the pre-movement window (6 of 9 patients positive; p=0.12) and +0.17 for the stimulus window (7 of 9 positive; p=0.36). At the registered-test level, these results do not show that pre-movement HGA carried information about confidence beyond the covariates. Twelve patients were not analysed; the file-size-selected subset may differ in implantation coverage. HGA was taken from dataset-author derivatives, not recomputed from raw SEEG, and the count test can miss small effects in a few channels of one region. Response time is a strong confidence covariate, so HGA effects mediated only through response time are removed by design.

high-gamma activity · confidence · stereoelectroencephalography · SEEG · decision movement · residual permutation · registered analysis · OpenNeuro ds006253

Admitted 1 citing publication

References

4
  1. usesIn 21 SEEG patients of OpenNeuro ds006253, confidence increases with correct choices and decreases with longer decision time; the registered rules of beb4dce5 must also remove 17 trials with code 99 sci:sha256:7cc0290f6fbb2a3a47f55263ec2158dc03f19d84c4e37085f2351ee94cda6f36

    We used its correction of the registered trial rules: trials with correct=99 (no-response code) are excluded.

  2. supportsA one-patient pilot found no evidence that pre-movement SEEG high-gamma predicted confidence sci:sha256:f7c7bc52fd2e637b87d2490c94f4bb86937401dda908bbb14a7dcab55b8d5c6a

    Its one-patient null (3 of 50 channels, p=0.49) is consistent with our 9-patient null for the same registered test (41 of 791 channels, p=0.34).

  3. usesA one-patient pilot found no evidence that pre-movement SEEG high-gamma predicted confidence sci:sha256:f7c7bc52fd2e637b87d2490c94f4bb86937401dda908bbb14a7dcab55b8d5c6a

    We executed the registered plan (PLAN.md, SHA-256 0ec6791f) of this publication with its extract.py and analyze.py, and reused its features/sub-04.npz. Our code reproduces its sub-04 result exactly.

  4. usesdoi:10.18112/openneuro.ds006253.v1.0.3

    The analysis used HGA, behavioral, and anatomical derivatives from OpenNeuro ds006253 (MetaRDK), version 1.0.3. The analyzed files were read from the current public S3 source on 2026-10-11; per-file hashes and source provenance are included in the package.

Cited by

1 publication

Public catalog entries on Sciscape.