White matter alterations in young children with prenatal alcohol exposure
Bibliographic record
Abstract
Prenatal alcohol exposure (PAE) can lead to cognitive, behavioural, and social-emotional challenges. Previous neuroimaging research has identified structural brain alterations in newborns, older children, adolescents, and adults with PAE; however, little is known about brain structure in young children. Extensive brain development occurs during early childhood; therefore, understanding the neurological profiles of young children with PAE is critical for early identification and effective intervention. We studied 54 children (5.21 ± 1.11 years; 27 males) with confirmed PAE (94% also had other prenatal exposures, 74% had adverse postnatal experiences) compared with 54 age- and sex-matched children without PAE. Children underwent diffusion tensor imaging between 2 and 7 years of age. Mean fractional anisotropy (FA) and mean diffusivity (MD) were obtained for 10 major white matter tracts. Univariate analyses of covariance were used to test group differences (PAE vs. control) controlling for age and sex. The PAE group had higher FA in the genu of the corpus callosum and lower MD in the bilateral uncinate fasciculus. The PAE group also had lower tract volume in the corpus callosum, the bilateral inferior fronto-occipital fasciculi, and the right superior longitudinal fasciculus. Our findings align with studies of newborns with PAE reporting lower diffusivity, but contrast those in older populations with PAE, which consistently report lower FA and higher MD. Further research is needed to understand trajectories of white matter development and how our results of higher FA/lower MD in young children connect with lower FA/higher MD observed at older ages.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".