Nodding syndrome, an epidemic young-onset epilepsy-dementia complex in Uganda
Bibliographic record
Abstract
Nodding syndrome (NS) is an enigmatic recurrent epidemic neurological disease that affects children in East Africa. The illness begins with nodding of the head and grand mal seizures that may lead to death after several years. The most recent outbreaks of NS occurred in northern Uganda and South Sudan. We describe the clinicopathologic spectrum of NS in Uganda. Ten children or young adults with NS were studied at autopsy and the neuropathological findings correlated with the onset, duration and progression of their neurological illness. All cases had epilepsy with grand mal seizures. Three cases had a clinical course that was predominantly characterized by epilepsy. Seven patients had progressive frontotemporal dementia. Two of the patients with dementia also had progressive quadriparesis. In all cases, the brain revealed tau pathology. In cases with an epilepsy-predominate course, the tau pathology was largely limited to the anterior frontal lobes but cases with dementia had more widespread cortical and subcortical tau pathology. In some cases, the histologic pattern was reminiscent of progressive supranuclear palsy. There are some interesting parallels between NS and the amyotrophic lateral sclerosis/Parkinson-dementia complex (ALS/PDC). The similarities are the presence of geographical isolates of disease manifesting in indigenous populations with familial clusters but no clear heritability. Both disorders appear to be related to an unknown environmental factor and both diseases appear to be fading over time in the respective geographical locations. One of the major open questions is whether ALS occurs in NS. This question will be addressed in future clinical studies and postmortem examination of the spinal cord. We propose that NS is a unique epilepsy-dementia complex in East Africa. LEARNING OBJECTIVES This presentation will enable the learner to: 1. Describe the clinicopathologic features of a nodding syndrome. 2. Compare the pathology of NS to ALS/PDC and related disease
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".