Long‐term neuroprosthetic hemotherapy treats autonomic dysreflexia after spinal cord injury
Bibliographic record
Abstract
Disrupted descending supraspinal control results in a hyper‐excitable sympathetic nervous system connectome after spinal cord injury (SCI). A condition termed “autonomic dysreflexia” (AD) results, which is characterized by severe elevations in blood pressure that are life‐threatening. There are no effective therapies for AD. Long‐term epidural stimulation below the level of the SCI can promote functionally‐relevant plasticity of volitional motor circuits, and this paradigm may prevent the hyper‐excitable sympathetic connectome after SCI. Here we studied the potential rehabilitative effect of long‐term epidural stimulation, as well as the mechanisms that are responsible for the development of AD. For this experiment, we compared SCI rats that underwent 30 minutes of epidural stimulation 5x/week for 6 weeks to SCI rats receiving normal care. Long‐term epidural stimulation abrogated AD induced by colorectal distension (p<0.0001; Figure 1). Viral tracing of ascending propriospinal neurons was also performed in these groups. Long‐term epidural stimulation normalized the sympathetic connectome as the axons and synapses were significantly reduced compared to SCI rats (p=0.0021; p=0.0127). We next performed chemogenetic silencing of excitatory and inhibitory interneurons, as well as sympathetic preganglionic neurons, in the lower thoracic spinal segments while experimentally inducing AD. Preliminary data indicate that AD is, at least in part, mediated by excitatory interneuronal connections to sympathetic preganglionic neurons. Long‐term epidural stimulation may be an effective hemotherapy for preventing AD after SCI. This project may provide direction for basic and clinical research to develop treatments for sympathetic nervous system dysfunction after SCI, and thereby improve health and patient quality of life over the long term.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".