Alterations in evoked and spontaneous activity of dorsal horn wide dynamic range neurons in pathological pain: a systematic review and analysis
Bibliographic record
Abstract
Wide dynamic range (WDR) neurons of the spinal dorsal horn respond to a wide range of innocuous and noxious mechanical stimulation and encode the intensity of mechanical stimuli as changes in firing rate. However, there are inconsistent findings regarding whether WDR neuron stimulus encoding activity is altered in pathological pain states. This inconsistency may arise from differences in the pain models used or in the experimental conditions themselves. In this study, we use a meta-regression approach to examine which variables modulate and determine WDR activity. We pooled data from in vivo electrophysiological studies of WDR activity evoked by von Frey filament stimulation of the hind paw in rats across a number of pathological pain models. We observed that WDR firing rate was better predicted by the calculated pressure of von Frey stimulation rather than applied filament force, as reported in all studies. The pressure-evoked firing rate of WDR neurons was not altered by any experimental pain model except for arthritis and inflammation models, where mechanical stimuli evoked a higher firing rate than controls. Conversely, there was a consistent increase in the spontaneous firing rate of WDR neurons in neuropathic pain, arthritis and inflammation, and chemoneuropathy pain models. Overall, these data indicate that changes in WDR encoding of applied pressure are unlikely to significantly contribute to pathological sensory processing but suggest a possible role for these neurons in spontaneous pain.
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".