The use of the MSVT in children and adolescents with epilepsy
Bibliographic record
Abstract
Pediatric neuropsychologists are increasingly recognizing the importance of performance validity testing during evaluations. The use of such measures to detect insufficient effort is of particular importance in pediatric epilepsy evaluations, where test results are often used to guide surgical decisions and failure to detect poor task engagement can result in postsurgical cognitive decline. The present investigation assesses the utility of the Medical Symptom Validity Test (MSVT) in 104 clinically referred children and adolescents with epilepsy. Though the overall failure rate was 15.4% of the total group, children with 2nd grade or higher reading skills (a requirement of the task) passed at a very high rate (96.6%). Of the three failures, two were unequivocally deemed true positives, while the third failed due to extreme somnolence during testing. Notably, for those with ≥2nd grade reading levels, MSVT validity indices were unrelated to patient age, intellectual functioning, or age of epilepsy onset, while modest relations were seen with specific memory measures, number of epilepsy medications, and seizure frequency. Despite these associations, however, this did not result in more failures in this population of children and adolescents with substantial neurologic involvement, as pass rates exceeded 92% for those with intellectual disability, high seizure frequency, high medication burden, and even prior surgical resection of critical memory structures.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".