Functional contribution of specific brain areas to absence seizures: role of thalamic gap‐junctional coupling
Bibliographic record
Abstract
The synchronized discharges typical of seizures have a multifactorial origin at molecular, cellular and network levels. During recent years, the functional role of gap-junctional coupling has received increased attention as a mechanism that may participate in seizure generation. We have investigated the possible functional roles of thalamic and hippocampal gap-junctional communication (GJC) in the generation of spike-and-wave discharges in a rodent model of atypical absence seizures. Seizures in this model spread throughout limbic, thalamic and neocortical areas. Rats were chronically implanted with cannulae to deliver drugs or saline, and local field potentials recordings were performed using intracerebral electrodes positioned in distinct brain areas. Initially, the effects on synaptic transmission of the gap-junctional blockers used in this study were determined. Neither carbenoxolone (CBX) nor 18-alpha-glycyrrhetinic acid altered chemical synaptic transmission at the concentrations tested. These two compounds, when injected via cannulae into the reticular nucleus of the thalamus (NRT), decreased significantly the duration of seizures as compared with saline injections or injections of the CBX inactive derivative glycyrrhizic acid. CBX injections into the hippocampus resulted in diminished seizure activity as well. NRT injections of trimethylamine, which presumably causes intracellular alkalinization (thereby promoting gap-junctional opening), enhanced seizures and spindle activity. These observations suggest that, in this rodent model, thalamic and limbic areas are involved in the synchronous paroxysmal activity and that GJC contributes to the spike-and-wave discharges.
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) | 0.000 | 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) | 0.001 | 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".