Thalamic burst and tonic firing selectively indicate patients’ consciousness level and recovery
Bibliographic record
Abstract
Patients with disorders of consciousness suffer from severe impairments in arousal and awareness alongside anomalous brain connections and aberrant neuronal activities. The thalamus, a crucial hub in the brain connectome, has been empirically inferred to maintain consciousness and wakefulness. Here, we investigated thalamic spiking, brain connectivity, consciousness states, and recovery outcomes following deep brain stimulation in 29 patients. Our study reveals that thalamic neuronal activity serves as a marker of consciousness state. Patients diagnosed with vegetative state/unresponsive wakefulness syndrome exhibited less-active neurons, with longer and more variable burst discharges, than those in a minimally conscious state. Furthermore, neuronal profiles in the intralaminar thalamus, the direct stimulation site, predicted whether electrostimulation here improved recovery. Stronger tonic firing was correlated with enhanced thalamocortical connectivity and better recovery outcomes in patients. These findings suggest that thalamic spiking signatures, including single-neuron burst discharge and tonic firing, selectively indicate the representation and alteration of consciousness.
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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".