Evaluation of behavioral outcomes in children 1 year after epilepsy surgery
Bibliographic record
Abstract
OBJECTIVE: Children with epilepsy have elevated rates of behavior problems. Research findings on the impact of epilepsy surgery on children's behavior have been mixed, with some studies showing improvements in behavior 3 to 18 months after surgery and other studies finding no change within this time interval. We examined behavior in a large surgical sample and in a nonsurgical comparison group. We also examined for potential effects of epilepsy-related and cognitive/linguistic variables. METHODS: Behavior was assessed by parent report in 147 children who underwent epilepsy surgery and 40 children who did not, using the Child Behavior Checklist (CBCL). For the surgical group, the CBCL was completed prior to surgery (baseline) and approximately 1 year after surgery (follow-up); ratings of the nonsurgical group were also conducted twice, at comparable intervals. RESULTS: At baseline, the groups did not differ on age, sex, age at seizure onset, antiepileptic drugs (AEDs), or intelligence quotient (IQ). Baseline Social and Attention Problems were higher in the nonsurgical group. At follow-up, 65% of the surgical group and 20% of the nonsurgical group were seizure-free. Behavioral change was not related to surgical status or seizure outcome. Children with temporal lobe seizure focus had more Externalizing Behaviors compared to those with frontal or multilobar foci. Attention was poorer in children who underwent frontal lobe excisions relative to temporal or multilobar excisions. Baseline IQ did not predict behavioral change. SIGNIFICANCE: Our results suggest that surgery and seizure outcome do not affect behavior in the first year following surgery; it may be the abnormal neural substrate and not seizure control that influences behavior in children with epilepsy. If changes are to occur due to seizure freedom, they may require a longer time to emerge. Some behaviors may be resistant to change in children with epilepsy or may require even longer intervals for improvement.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".