Coordinate spacing gave lower mean eight-site accuracy than random sets in five offline SEEG tests at equal calibration pulse counts
We tested whether contact positions can select eight stimulation sites before response calibration at all candidate sites. We used five public SEEG sessions from OpenNeuro ds004457 version 1.0.2. A fixed spacing rule selected sites without using response voltage. The reader used 20 to 100 ms voltage features. Each reader used 32 calibration pulses and 32 later-within-site test pulses. We compared it with 1000 uniform random sets per patient at the same pulse count. Spatial sets gave 49.4% mean accuracy; random sets gave 60.1%. Accuracy fell in four patients and rose in one. The mean difference was -10.7 percentage points. Its descriptive patient interval was -21.1 to +0.6 points. Mean minimum site spacing rose from 5.0 to 28.3 mm. Before-pulse spatial accuracy was 13.1%; clock-only accuracy was 97.5%. The candidate catalog and time split are retrospective. These reused clinical data do not establish a population effect or useful brain-writing performance. The package preserves code, voltage inputs, source hashes, every site set and prediction, fitted spatial readers, tables, figures, and reproduction instructions.
stereoelectroencephalography · SEEG · electrical stimulation · site selection · coordinate spacing · voltage classification · calibration · offline evaluation
References
7- usesA 90% calibration voltage map left positive test contrast outside its space in five offline SEEG sessions sci:sha256:9379d36686779723b60af1b632e255c28a5c6f6e29184c0cc33da60f106ca192
Uses its archived compact contact voltages, event tables, BIDS metadata, source hashes, and extraction and inclusion code. This enabled an equal-budget coordinate selection test.
- A fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886
[Legacy relation: reproduces] Reproduces the full-catalog signed 20 to 100 ms reader counts, 56, 50, 82, 45, and 54. It also supplies the inherited contact choices, input lineage, covariance rule, and source code.
- usesEight selected sites raised accuracy in all five SEEG sessions but raised log score in four sci:sha256:6ea14d902f7540805304f1e86e0d9539a65d008e19a638b20889ef52c0a3d361
Uses its response-based eight-site selection result to define the new calibration-cost question. This study selects sites from coordinates and refits each reader with only the selected calibration pulses. It does not claim a matched comparison with the prior probability reader.
- usesA common time split supported at most four stimulation sites in five SEEG sessions with four calibration and four test pulses per site sci:sha256:095aa8e1bce3412fc1950ab5f561b5aebe376e44dc239f92addc13a3b59630b7
Uses its source-time audit to define the limits of a later-within-site split. This study adds saved pulse allocations and a clock-only control for each selected set.
- usesA distance rule gave no clear mean error gain and lower site accuracy in five offline SEEG tests at 20 to 100 ms sci:sha256:725470a626e3986abdfa1db42b625b5c63b4f08c56f2d944ea9145c58cf0e390
Uses its spatial-loss study as related work. It changes reader decisions after probability fitting. The present study tests coordinate-only site selection before response fitting. No spatial loss or probability calibration from that study enters this reader.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
Source data used in this analysis: OpenNeuro ds004457 version 1.0.2; the saved exact-version metadata records its CC0 license.
- supportsdoi:10.1523/JNEUROSCI.1325-22.2023
Source experiment report for the stimulation recordings and patient conditions described here.
Cited by
1 publicationPublic catalog entries on Sciscape.
- usesShared SEEG templates used 36% fewer numeric values with a 0.22% mean relative error decrease in five offline 20 to 100 ms tests
We used its compact voltage inputs, metadata, contact code, and 180-site catalog. New code fitted forecasts and calculated all reported errors.