Neuropsychologie, plasticité et épilepsie infantile
Bibliographic record
Abstract
Epilepsy is one of the most frequent childhood disorders. While most cases are well controlled, approximately 30-50% are resistant to medical treatment. In these cases, neurosurgery may be an option. Since 1979, our team at the Sainte-Justine Hospital in Montreal has studied the impact of epilepsy on the psycho-motor and cognitive development of the affected children. The aim of a first series of studies was to explore the extent and limits of cerebral plasticity by investigating the neuropsychological sequelae of early versus late callosotomy and hemispherectomy. In keeping with the plasticity hypothesis, the results revealed that the children who were operated before puberty showed fewer deficits than those operated during adolescence or adulthood. However, the compensatory mechanisms available to them appeared to be limited with respect to the nature and complexity of the information they can process. For instance, young children having undergone section of the corpus callosum resembled individuals born without a corpus callosum (callosal agenesis) in that there did not show the typical disconnection deficits seen in adult ''split-brain'' patients. However, they exhibited deficits on tasks requiring interhemispheric integration of motor and visuo-motor information. By the same token, hemispherectomy patients were still able to make visual judgements in their ''blind'' visual field but they were found to be impaired on a variety of visual and auditory tasks (localization of a sound sources in space) requiring the participation of both hemispheres. In a second series of studies, carried out in collaboration with a Parisian team, we intended to describe the neuropsychological profile of focal epilepsies, specifically frontal and temporal epilepsy. Contrary to the common belief that childhood epilepsy would result in diffuse impairments, we were able to demonstrate that children manifest the same localized deficits as adult patients. In studies presently underway in our laboratories, we make use of functional neuroimaging techniques such as high density electrophysiology, optical imaging and magnetoencephalography to investigate pre-and postoperative language and memory functions and to study the impact of epilepsy on brain maturation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".