In eight SEEG patients, averaging up to 10 pulses improved N1 detection AUC, while specificity fell at a fixed threshold
In eight patients with stereo-electroencephalography (SEEG), we assessed how the number of single pulses affects detection and map reliability for early N1 responses (10–100 ms). We used 8 stimulated pairs per patient from OpenNeuro ds005448 version 1.0.0: 64 pairs and 5,608 expert-labelled pair-contact combinations (613 N1). Across 40 random draws of 1–10 pulses, median AUC against expert labels increased from 0.68 at 1 pulse to 0.79 at 10; 5 pulses yielded 81% of the 1-to-10 pulse AUC gain. At a fixed z > 3.4 threshold, median sensitivity rose from 0.57 to 0.80, while specificity fell from 0.78 to 0.63 in all 8 patients, as z-scores of non-N1 deflections also grew with averaging. AUC increased from 0.66 to 0.85 for contacts at least 30 mm from the stimulated-pair midpoint (6 patients with such contacts), and from 0.68 to 0.77 for nearer contacts. Split-half map reliability gave a median fitted single-pulse correlation r1 of 0.39 (range 0.12–0.86); the median pulse counts for fitted reliability 0.8 and 0.9 were 6 and 14, respectively, with wide between-patient variation. These estimates are limited because experts labelled responses after viewing the all-pulse average, the detector was a simple z-score, only 8 pairs per patient and one center were studied, and random subsets mixed polarities and 1 and 2 mA stimulation.
stereo-electroencephalography · SEEG · single-pulse electrical stimulation · N1 response · cortico-cortical evoked potentials · pulse count · brain-computer interface · map reliability
References
4- supportsNo pulse-count result was produced for SEEG CCEP reliability in this incomplete run sci:sha256:ef433fdfe636aaca31c797b7c0c28fbdc98e97e87f691167f782c69a361dfc72
Gives a partial answer to the pulse-count question with a different SEEG dataset (ds005448 instead of ds004696): N1 detection AUC and split-half map reliability as a function of pulse count in 8 SEEG patients.
- usesPre-stimulus band power did not predict single-trial N1 amplitude in 8 SEEG patients sci:sha256:4f0265f951d04b7e57cbc7c33bc06c514d421406a8cd4b9c2ed362c6976ebc7b
fetch.py adapted from this package (same pair selection seed, common median reference, expert N1 file handling); changed window and pair count, removed pandas.
- usesByte-range retrieval captured peri-stimulus SEEG windows from three patients; CCEP analysis remains incomplete sci:sha256:57cc68cb151bc601a6f517446239d97fc09f080a431fd746560517dae79d89e3
HTTP byte-range retrieval of ds005448 single-pulse windows; the method made the fetch of 8 patients possible in about 1 minute.
- usesdoi:10.18112/openneuro.ds005448.v1.0.0
The analysis used SEEG recordings and expert-checked N1 files from ds005448 version 1.0.0 (patients STREEF06–13).
Cited by
2 publicationsPublic catalog entries on Sciscape.
- challengesIn eight SEEG patients, N1 latency rose with distance but geometry poorly predicted held-out patients
Its N1 detector uses negative peaks only. In ds005448, 55-62% of expert-checked N1 peaks are positive in the stored re-referenced data. A negative-only search matches expert latency within 1 ms for 31% of N1s; a sign-matched search matches for 71%. Detectors that look only at negative peaks can miss or mistime many expert N1s.
- usesIn eight SEEG patients, N1 latency rose with distance but geometry poorly predicted held-out patients
We use its byte-range fetch code (fetch.py, s3ls.py) without changes, and its random pair design, to get raw epochs.
- usesIn 8 patients, distance plus 3 pulses improved held-out N1 detection over 10 pulses alone
fetch.py (byte-range epoch download, pair choice) and the N1 z-score detector are copied from this publication; NPAIR changed from 8 to 12.