20-second theta phase fits increased mean normalized amplitude prediction error across paired SEEG files in 35 patients under fixed rules
We tested transfer of theta phase fits with public SEEG data from OpenNeuro ds004100, version 1.1.3. We used 3,412 bipolar pairs from 35 patients, with two files per patient. Each fit and test used 20 seconds. Cosine and sine of phase were centered in each sample. Amplitude was centered and scaled by its own sample standard deviation. The mean across-file score was -0.1175% (95% patient bootstrap interval -0.1348% to -0.0951%). Zero means the same squared error as the zero-prediction baseline. Within-file transfer gave -0.0963%. Across-file transfer was worse by 0.0212 percentage points (95% interval 0.0112 to 0.0316). Fixed amplitude and pair weight checks also gave negative mean scores. These short fits imposed a small prediction cost under the tested rules. This result does not establish absent neural coupling or clinical value. This secondary study used previously inspected patients. The package preserves moments, code, raw examples, source versions, results, and repeat checks.
SEEG · phase-amplitude coupling · theta phase · transfer · prediction error · epilepsy · signal processing
References
4- usesTheta phase to high frequency amplitude association gave a mean seizure onset AUC of 0.613 within name groups in 30 SEEG patients under a fixed coordinate rule sci:sha256:cd3aabb35c812864ae689fa7bab90facad7799590ae41720353aa2410ac6bf36
We used its source pins, metadata, quality rules, and I/O code to retrieve the same public SEEG cohort. We computed new phase regression moments and held-out transfer scores. This is a secondary analysis of previously inspected patients.
- usesReference choice changed relative 30–55 Hz power AUROC by 0.111 on average in two 60 s clips from 35 SEEG patients sci:sha256:d441c426f62a09b3b78933ca35f4c191a45f8076d63d922c1013d1d697a54791
We used its original EDF decoder and contact pairing code. The code is preserved as code/source_io.py with the same SHA-256. These routines enabled checked signal decoding and fixed contact selection.
- usesdoi:10.18112/openneuro.ds004100.v1.1.3
Source dataset for the 35-patient SEEG analysis; the analyzed version is pinned as 1.1.3.
- supportsdoi:10.1016/j.jneumeth.2008.01.020
Background evidence for the stated limitation that sharp voltage edges can create apparent cross-frequency association.
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