PSYCHIATRIC CO-MORBIDITY IN PEDIATRIC SURGICALLY TREATED TEMPORAL LOBE EPILEPSY
Bibliographic record
Abstract
Objectives: Temporal Lobe Epilepsy (TLE) is associated with psychiatric co-morbidity particularly depression. Most reports describe adults. The objective of this study is to investigate psychiatric co-morbidity in children with surgically treated temporal lobe epilepsy. Methods: Retrospective review of the medical records, neuroimaging and EEG data was done in children with temporal lobe epilepsy treated by surgical resection. The diagnosis of psychiatric morbidity was based on validated questionnaires and psychiatric assessments. DSM IV criteria were used for diagnosis of psychiatric disorders. Results: The study population comprised 33 patients, 23 males (69%) and 10 females (31%), the median age at seizure onset was 8.5 years (range 3 months-15 years). The etiology was malformations of cortical development (7), mesial temporal lobe sclerosis (10), tumors (11), and other (5). 22/32 (69%) had psychiatric co-morbidity; depression was most common in 9 (27%). In 6 of the 9 depressions occurred pre-surgery only and all were seizure free (Engle Ia) following surgery. Three patients made a pre-surgery suicide attempt. In 2, depression persisted following surgery and seizure outcome was Engel Ib and IV respectively. In one patient, depression occurred post-surgery and this patient was seizure free. One patient had a schizophreniform psychosis and committed suicide. This patient had no improvement in seizure control. Anxiety occurred in 5 (15%), Oppositional Defiant Disorder in 4 (12%), and Obsessive Compulsive Disorder in 4 (12%). Autism was diagnosed in 4 (12%). Conclusion: Psychiatric co-morbidity is very common in children with intractable temporal lobe epilepsy. Good surgical outcome was associated with improvement in depression. Psychiatric evaluation of children under evaluation for epilepsy surgery is extremely important.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".