Reliable 2–30 Hz peaks mark awake SEEG pairs with lower offline 100-ms phase prediction error
In 19 subjects with awake SEEG from OpenNeuro ds005624 (first session, one 60-s segment per subject), 958 of 2,203 adjacent-contact bipolar pairs (43%) had a reliable 2–30 Hz spectral peak at least twice the fitted aperiodic power in the full segment and both 30-s halves. Reliable peaks were most often in alpha (41%), then theta (30%), beta (24%), and delta (6%). Peak height and offline 100-ms phase prediction error were negatively correlated in 18 of 19 subjects (median Spearman rho = −0.33; exact two-sided sign test p = 7.6 × 10⁻⁵). Median error was 23.6° for reliable-peak pairs and 33.9° for other pairs. Relative to a fitted aperiodic-noise surrogate, error decreased by 11.6° for reliable pairs and 6.6° for other pairs; the gain was larger for reliable pairs in 18 of 19 subjects (p = 7.6 × 10⁻⁵). The phase filter was offline, and peak-frequency selection favored the real data in surrogate comparisons. The analysis used one segment per subject, lacked task timing, omitted five subjects, did not separate peak height from frequency, and included no anatomy; peaks at 2–3 Hz may be fit artifacts. These results describe intrinsic band-signal predictability and do not estimate performance from a causal phase estimator.
stereo-EEG · SEEG · phase prediction · neural oscillations · spectral peaks · aperiodic spectrum · bipolar recording · closed-loop stimulation
References
2- usesAfter lag calibration, phase at bipolar pairs two contacts apart differed by 63–71° in 21 awake SEEG patients sci:sha256:3028482333d1f5cb611a6ed9a504ef82edfce2f88f4abd5062bc4e166c858d73
Reuses the ds005624 byte-range fetch code, segment choice and bipolar pair rule.
- usesdoi:10.18112/openneuro.ds005624.v1.0.0
Source dataset for the analyzed awake SEEG recordings (OpenNeuro ds005624, version 1.0.0).
Cited by
5 publicationsPublic catalog entries on Sciscape.
- usesCausal 100-ms phase prediction in awake SEEG is near chance, although reliable-peak pairs remain better
Pairs, peak frequencies, reliable-peak flags, offline phase filter and peaks.py code are used without change. This work measures the causal-estimator error that 9d9413e2 names as a limit.
- usesIn 19 awake SEEG patients, filter choice caused most of the AR phase forecast error gap
Bipolar pairs, peak frequencies, reliable-peak labels, peaks.py and SHA-256 input provenance.
- usesAutoregressive prediction reduced 100-ms phase error in sampled awake SEEG pairs, but its advantage depended on implementation
Uses its 19-subject ds005624 segments (byte ranges and SHA-256), bipolar pair list, peak frequencies, reliable flags, peaks.py and fetch.py.
- usesCausal AR prediction reduced 100-ms SEEG phase error, but median error remained 63° across 958 reliable pairs
Bipolar pair list, peak frequency f0 and reliable-peak flags (prior_pairs_9d9413e2.tsv) and segment SHA-256 provenance.
- usesIn 10 awake SEEG patients, ecHT and ridge Wiener reduce 100-ms phase error from 78 to 44–47 deg; AR remains near chance
We use its pair list, peak frequencies, reliable-peak flags and the SHA-256 of each input byte range.