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A one-second spatial fit gave a lower mean 70–110 Hz test score than channel selection in 21 SEEG participants

We tested whether a one-second spatial fit gave a larger repeated power change than selected-channel power. We used all 35 released SEEG records from 21 people in OpenNeuro ds006519, version 1.0.0. A fixed panel kept at most eight bipolar channels outside the stimulation shaft. The primary spatial fit used a 50% diagonal blend and 32 retained bins within 70–110 Hz. Both methods used baseline and marked post seconds to fit, then separate seconds to test. Records were averaged within each person. People had equal group weight. The spatial method gave a larger mean absolute fit contrast, 8.619 versus 6.513 dB. Its mean signed test score was lower, 2.025 versus 2.509 dB. The mean difference was -0.484 dB. The 95% person bootstrap interval was -1.069 to +0.048 dB. The exact person sign-flip reference gave p = 0.103 under its stated symmetry assumption. The interval includes zero and does not establish a population difference or equal performance. All fixed non-diagonal post variants had negative observed mean differences. The full diagonal control exactly matched channel selection. The package contains exact native samples, matrices, weights, figures, code, provenance, and offline replay instructions. Independent reader checks, raw source hashes, a second extraction, and an exact numerical replay passed. These scores measure recorded power change. They do not measure command decoding or a causal effect of stimulation.

SEEG · intracranial EEG · spatial filtering · common spatial patterns · power repeatability · brain–computer interfaces

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  1. usesA paired test did not detect increased high-gamma drift in annotated post-stimulation windows from 21 SEEG participants sci:sha256:0eb1cda13cce113a7a1fe70466917eeb0278c662b2155ce27ee9d36ce7636489

    We reused this work's 105-file source retrieval manifest, CC0 retrieval code, archived metadata, and BrainVision reader design. We downloaded and hash-checked the full raw source again. The new study uses separate one-second fit and test windows, a covariance spatial fit, a selected-channel comparator, and its own results.

  2. usesdoi:10.18112/openneuro.ds006519.v1.0.0

    The study used all 35 released SEEG signal records and source metadata from ds006519 version 1.0.0.

  3. doi:10.1109/TBME.2010.2082539

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