A brief history on the oscillating roles of thalamus and cortex in absence seizures
Bibliographic record
Abstract
This review summarizes the findings obtained over the past 70 years on the fundamental mechanisms underlying generalized spike-wave (SW) discharges associated with absence seizures. Thalamus and cerebral cortex are the brain areas that have attracted most of the attention from both clinical and experimental researchers. However, these studies have often favored either one or the other structure in playing a major role, thus leading to conflicting interpretations. Beginning with Jasper and Penfield's topistic view of absence seizures as the result of abnormal functions in the so-called centrencephalon, we witness the naissance of a broader concept that considered both thalamus and cortex as equal players in the process of SW discharge generation. Furthermore, we discuss how recent studies have identified fine changes in cortical and thalamic excitability that may account for the expression of absence seizures in naturally occurring genetic rodent models and knockout mice. The end of this fascinating tale is presumably far from being written. However, I can confidently conclude that in the unfolding of this "novel," we have discovered several molecular, cellular, and pharmacologic mechanisms that govern forebrain excitability, and thus consciousness, during the awake state and sleep.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".