Subthalamic local field potential dynamics during motor cortex and basal ganglia transcranial ultrasound stimulation
Bibliographic record
Abstract
Background: Deep brain stimulation (DBS) has emerged as a promising therapeutic avenue for alleviating motor symptoms in Parkinson's disease (PD).However, non-motor symptoms, such as daytime sleepiness, continue to pose significant challenges in PD management, warranting further investigation.The lateral hypothalamic area (LHA), known for its crucial role in arousal regulation, presents a compelling target for addressing sleep/wake disturbances in PD.Objective/hypothesis: In this pilot study, we aimed to explore the potential of frequency-dependent DBS within the LHA to modulate arousal levels and core body temperature in a primate model of PD.We hypothesized that high-frequency stimulation would reduce arousal levels and core body temperature, while low-frequency stimulation would enhance arousal and normalize core body temperature, particularly in the context of Parkinsonian pathology.Methods: We conducted experiments on healthy nonhuman primates, subsequently rendered Parkinsonian through the administration of MPTP.A modified multiple sleep latency test was employed to assess sleepiness levels during both healthy and Parkinsonian states.DBS at varying frequencies was applied within the LHA, and its effects on sleepiness and core body temperature were evaluated.Results: Our findings demonstrate a frequency-dependent modulation of wakefulness and core body temperature by LHA-DBS.Specifically, highfrequency stimulation elicited a reduction in arousal levels and core body temperature in healthy states, whereas low-frequency stimulation led to increased arousal levels and normalized core body temperature in Parkinsonian conditions characterized by daytime sleepiness. Conclusion:The present study highlights the potential of frequencydependent DBS within the LHA as a novel therapeutic approach for addressing non-motor symptoms, such as daytime sleepiness, in PD.Our findings offer valuable insights into the intricate mechanisms underlying arousal regulation and suggest promising avenues for future research aimed at refining DBS interventions for improved PD management.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".