0765 Enlarged perivascular spaces in infancy: associations with autism diagnosis, cerebrospinal fluid volume, and later sleep problems
Bibliographic record
Abstract
Abstract Introduction Since the re-discovery of the glymphatic system, there has been an increased interest in perivascular spaces (PVS) and cerebrospinal fluid (CSF) characteristics in relation to sleep. Enlarged PVS (ePVS) are associated with neurological disorders and sleep problems, and excessive extra-axial CSF (EA-CSF) volume is associated with autism spectrum disorder (ASD). However, ePVS has not been studied in infancy in relation to autism, EA-CSF volume, or sleep problems. The objectives of this study, therefore, are to examine whether ePVS is 1) more prevalent in infants who later develop ASD, 2) related to EA-CSF volume, and 3) associated with later sleep problems. Methods The study was conducted on a prospective, longitudinal cohort from the Infant Brain Imaging Study (IBIS). Participants underwent neuroimaging at 6-, 12-, and 24-months of age, and parent-reported Children’s Sleep Habits Questionnaires (CSHQ) were collected at a follow-up visit at school age (age range = 7-12 years, M = 10.0). A total of 311 participants were included: 47 infants at high familial likelihood for ASD who were later diagnosed with ASD (HL+), 180 high likelihood infants not diagnosed with ASD (HL-), and 84 low likelihood control infants (LL-). The CSHQ was available on a subset of 109 participants. Results Significant group differences in ePVS rates were found at 24 months of age (p=0.041), with 44.7% of the HL+ group having ePVS, compared to 26.7% in the HL- group (p=0.017) and 26.2% in the LL- group (p=0.031). ePVS at 24 months was associated with greater EA-CSF volume from 6-24 months (p=0.002) and greater sleep disturbances at school-age (p=0.006), regardless of ASD diagnosis. Conclusion The presence of ePVS during infancy was associated with ASD diagnosis, elevated EA-CSF volume, and more frequent sleep disturbances. Results suggest that infants with ePVS should be monitored for early signs of ASD and potential long-term sleep problems, particularly sleep disturbances. Further examination is needed to establish whether early ePVS is ASD-specific or an indication of early glymphatic system dysfunction that can put infants and children at risk for atypical brain development and later sleep problems. Support (if any)
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".