Bibliographic record
Abstract
Cognitive and Behavioural Disorders of Epileptic Origin in Children, by Thierry Deonna and Eliane Roulet-Perez, West Nyack, NY, Cambridge University Press, 2005, 241 pp., $90.00 hardcover. This is number 168 of the Clinics in Developmental Medicine series from Mac Keith Press, and is a worthwhile addition to a very useful set of reference books and reviews. Its focus on the developmental and behavioral aspects of epilepsy should be of interest to many of us involved in Developmental-Behavioral Pediatrics, whether we are directly involved in an epilepsy service or not. The authors have long and extensive personal experience both in the clinical care of children with epilepsy and in research on the topic. They make a strong case for the possibility that some cognitive-behavioral disorders in some children are the result of epilepsy, and may therefore be treatable with anticonvulsants (or surgery) of one kind or another. The book includes both an extensive review of the literature and numerous clinical anecdotes or case examples that illustrate and enhance the authors' arguments. They emphasize that this approach does not replace more traditional scientific approaches using groups randomized to intervention, but may give clues that can direct future research of this more rigorous type (the foreword by Jean Aicardi, one of the giants in the field of childhood epilepsy, presents a convincing argument in support of this approach). The over-riding theme of the book is that epilepsy can directly affect brain function (both chronically and intermittently) and may therefore have a direct effect on behavior in addition to that mediated through psychosocial and family stresses. Their case is made convincingly, given the authors' evident experience in the area and strong research background. The length of follow-up and richness of assessment data on individual cases in impressive. I was asked to comment on the book's sensitivity to issues of culture, and there are no specific cultural references in the book. There are, however, numerous comments in the case examples that indicate the authors' support for families in the difficult choices they must make regarding investigation and treatment (cases are included in which the "research protocol" was breached: incomplete evaluations, refusal or discontinuation of therapy, etc). This book can be read from beginning to end, as it is organized in a logical order with successive chapters building on the previous. It is well written and engaging. There are, however useful descriptive chapter headings for the reader looking for reference to a particular issue (epilepsy surgery, specific epilepsy syndromes, educational aspects, etc). There is a brief appendix listing neuropsychologic tests, and a reasonably up-to-date reference list. One of the reasons given for this book's "anecdotal" approach is that children with these conditions are uncommon and each clinical situation is unique. The general issues raised by the cases, however, arise fairly frequently in the assessment and management of children with complex developmental-behavioral disorders: the management of recognized epilepsy paying attention to cognitive side-effects; the assessment of children with intermittent dysfunction; the investigation and treatment of children with a history of regression. Although the authors do not give definitive answers to these difficult clinical problems, they present a logical and reasonable approach that is grounded both in research literature and extensive clinical experience. Keith J. Goulden, M.D. Division of Neurodevelopmental/Neuromotor Pediatrics Glenrose Rehabilitation Hospital and University of Alberta Edmonton, Alberta
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".