Status dystonicus is a distinct state characterized by pallidal beta-band activity
Bibliographic record
Abstract
Status dystonicus (SD) is a poorly known neurological emergency requiring urgent interventions, including deep brain stimulation (DBS) targeting the globus pallidus interna (GPi). The sensing capabilities of DBS electrodes provide an opportunity to study the pathophysiology of SD. Here, we study local field potentials (LFPs) from GPi-DBS electrodes implanted in a cohort of 10 children longitudinally during SD, recovery and relapse (recording range 11-1155 days). During SD, we report an increase in the periodic component of the power spectrum within the beta-band along with increases in burst amplitude compared to recordings in non-SD states. Furthermore, relapsed SD is characterized by a return of excessive beta signatures. Beta-specific LFP power is also significantly associated with worse quality-of-life scores (PedsQL, R2 = 0.695). We identify circadian pallidal beta-band periodicity in one participant with chronic narrowband beta-power recordings over months, with significant increase in power during SD. These rare recordings in children with SD point to excessive pallidal beta-band activity as a biomarker of SD. Our findings further suggest that SD is a distinct state with important implications for understanding dystonia pathophysiology, tracking dystonia states from intracranial activity and potential adaptive DBS treatments. This study identifies status dystonicus as a distinct brain state characterized by excessive beta-band activity with implications for the diagnosis and treatment of this poorly known neurological emergency
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".