A shared central thalamus mechanism underlying diverse recoveries in disorders of consciousness
Bibliographic record
Abstract
Disorders of consciousness (DoC) encompass a range of states characterized by prolonged altered awareness due to heterogeneous brain damage and are associated with highly diverse prognoses. However, the neural mechanisms underlying such diverse recoveries in DoC remain unclear. To address this issue, we analyzed direct recordings from the central thalamus (CeTh), a key hub in arousal regulation, in a series of 23 DoC patients receiving deep brain stimulation treatment (CeTh-DBS). We identified a core set of electrophysiological features of the CeTh, particularly those of the theta rhythm. These features could account for individual recovery outcomes across highly varied etiologies (trauma, brainstem hemorrhage, and anoxia), and across clinical baselines and patient ages. CeTh activities also identified two subgroups of patients with recovery potential, including those with poor initial clinical manifestations but who eventually exhibited functional recovery. A biophysical model further revealed the neurodynamics of the theta rhythm in the CeTh across different brain states correlating with varying consciousness levels. These findings uncover a shared CeTh mechanism underlying diverse recoveries in DoC. Central thalamic patterns index recovery in patients with disorders of consciousness (DoC) across different severities, etiologies and ages, revealing a shared mechanism underlying consciousness recovery in DoC and informing treatment strategies.
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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 | 0.001 |
| 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".