Neurological Structure Variations in Individuals with Autism Spectrum Disorder: a Review
Bibliographic record
Abstract
Autism spectrum disorder is a neurodevelopmental disorder that is characterized by impairments in social communication and social interactions along with repetitive, stereotyped behaviors and interests. The spectrum is quite broad, and the pathophysiology appears to be related to a number of factors. A common theme is that the disorder is one of impaired brain development. Neuroimaging studies offer a way to investigate impaired brain development by considering structural differences between those with autism and those without. Areas of focus include neuroanatomical regions that correlate with the clinically recognizable features of autism. In this review of structural studies, volumetric variation in terms of grey and white matter and total brain volume and in terms of neurological structures (e.g. frontal lobe, parietal cortex, amygdala, etc.) is discussed. Although a few trends have been noted, much of the literature demonstrates heterogeneity in the reported findings, which likely reflects the heterogeneity of the clinical presentation of this disorder. Further studies will need to correlate these structural findings with functional data and look to better understand the underlying molecular and genetic processes.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".