Acute dentate nucleus deep brain stimulation modulates corticomotor excitability in chronic stroke survivors
Bibliographic record
Abstract
BACKGROUND: Deep brain stimulation of the dentate nucleus (DN-DBS) is an emerging therapy to improve upper extremity (UE) motor function after stroke. This study sought to investigate the physiologic mechanisms of acute DN-DBS in chronic stroke survivors enrolled in a phase I trial for DN-DBS. METHODS: Twelve chronic stroke participants with moderate-to-severe UE impairment received (acute) single sessions (≥45 min) of active DBS and sham DBS in a sham-controlled, double-blind, cross-over experiment (order randomized). Transcranial magnetic stimulation (TMS) was used to evaluate corticomotor physiology. We also characterized the relationship between acute DBS effects on physiology and baseline clinical and neuroimaging measures, and chronic DBS effects on motor function. RESULTS: Acute active DBS led to an increase in ipsilesional corticomotor excitability evident as a 5.2 % maximal stimulator output (MSO) reduction in active motor threshold (p = 0.017, d = 0.28), but there was no effect of acute sham DBS. Increases in corticomotor excitability observed with acute DBS were associated with higher microstructural integrity of ipsilesional corticospinal tract (r > 0.70, p < 0.017) and dentato-thalamo-cortical pathways (ρ > 0.69, p < 0.022). Gains in corticomotor excitability with acute DBS were associated with higher dexterity gains made with chronic DBS plus rehabilitation (r > 0.65, p < 0.028). CONCLUSIONS: Acute DN-DBS leads to heightened ipsilesional corticomotor excitability in moderate-to-severe chronic stroke survivors. Effects of acute DN-DBS on physiology are contingent upon structural preservation of key white matter tracts and associated with motor gains made with chronic DN-DBS. Findings provide mechanistic support of DN-DBS as a potential therapy for post-stroke motor recovery and potential of TMS to monitor responses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".