Periventricular nodular heterotopia with overlying polymicrogyria
Bibliographic record
Abstract
Polymicrogyria (PMG) and periventricular nodular heterotopia (PNH) are two developmental brain malformations that have been described independently in multiple syndromes. Clinically, they present with epilepsy and developmental handicaps in both children and adults. Here we describe their occurrence together as the two major findings in a group of at least three cortical malformation syndromes. We identified 30 patients as having both PNH and PMG on brain imaging, reviewed clinical data and brain imaging studies (or neuropathology summary) for all, and performed mutation analysis of FLNA in nine patients. The group was divided into three subtypes based on brain imaging findings. The frontal-perisylvian PNH-PMG subtype included eight patients (seven males and one female) between 2 days and 10 years of age. It was characterized by PNH lining the lateral body and frontal horns of the lateral ventricles and by PMG most severe in the posterior frontal and perisylvian areas, occasionally with extension to the parietal lobes beyond the immediate perisylvian cortex. The posterior PNH-PMG subtype consisted of 20 patients (15 male and 5 female) between 5 days and 40 years of age. It was characterized by PNH in the trigones, temporal and posterior horns of the lateral ventricles, and PMG most severe in the temporo-parieto-occipital regions. The third type was found in 2 females aged 7 months and 2 years, and was characterized by severe congenital microcephaly and more diffuse cortical abnormality. The PNH-PMG subtypes described here have distinct imaging and clinical phenotypes that suggest multiple genetic aetiologies involving defects in multiple genes, and a shared pathophysiological mechanism for PNH and PMG. The frontal-perisylvian and posterior subtypes both had skewing of the sex ratio towards males, which suggests the possibility of X-linked inheritance. Delineation of these syndromes will also aid in providing more accurate diagnosis and prognostic information for patients with these malformations.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".