RBIO-10. NEUROMODULATORY EFFECT AND DOSE RESPONSE OF FUNCTIONAL RADIOSURGERY ON CORTICAL NEURONS
Bibliographic record
Abstract
Abstract PURPOSE The effects of functional radiosurgery on neuronal circuits remain poorly understood. Neurons of the prefrontal cortex communicate via precisely-timed action potentials that control cognition. Here, we examined the dose response of ablative radiation dose on the patterns of communication of neural circuits in prefrontal acute slices. Materials and METHODS Escalating doses from 20 Gy to 100 Gy of ablative radiation were applied to rodent cortical neurons using the robotic Radiosurgery device (CyberKnife(R) G4). Neuronal communication within irradiated prefrontal slices were compared to control slices (sham radiation); and assessed by plating slices on a multielectrode array that captured high-resolution (18 kHz) extracellular activity across 4,096 channels simultaneously. Comparisons also with recordings of slices treated with a pro-epileptiform solution and finally, correlated with staining for cell death. RESULTS Compared to control slices (mean rate of 0.06 Hz), the post-radiosurgery slices yielded a 40-fold increase in discharge rates (mean rate of 2.87 Hz for 20 Gy, 2.44 Hz for 50 Gy, and 1.95 Hz for 100 Gy radiation). Pearson cross-correlations were computed across all pairs of channels, yielding a matrix of 4,096-by-4,096 interactions. Radiated slices exhibited decreased correlations relative to control slices. A total of 7,446 neuronal interactions were above a threshold correlation of 0.5 in control slices, compared to none following a 20 Gy dose, 50 interactions following a 50 Gy dose and 28 interactions following a 100 Gy dose. Slices treated with pro-epileptiform solution slices yielded large seizure-like events characterized by increased discharge rates and increased pairwise correlations. CONCLUSION Post-radiosurgery slices yielded a unique signature of neuronal activity with increased rates; but with a pronounced decrease in correlations; suggesting diminished communication across neurons to create a neuro-modulatory effect on target tissue; or result in cognitive toxicity on organ-at-risk respectively.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".