Executive Functioning and Working Memory in Fetal Alcohol Spectrum Disorder
Bibliographic record
Abstract
The goal of this report is to critically review research on executive functioning (EF) and working memory in individuals with fetal alcohol spectrum disorder (FASD). Individuals with FASD exhibit EF deficits in the areas of cognitive flexibility, planning and strategy use, verbal reasoning, some aspects of inhibition, set shifting, fluency, working memory, and, recently, on tests of emotion-related or hot EF. Some researchers have linked prenatal alcohol exposure to abnormalities in the development of the frontal cortex of affected individuals or animals. One common finding is that these EF deficits persist regardless of whether the individual has facial dysmorphology. Furthermore, EF deficits are not simply due to a low IQ in these individuals. More research with larger sample sizes, smaller age ranges, and consistent measurement tools is needed in this area to ameliorate some inconsistencies in the literature. Furthermore, researchers should now focus on studying the pattern of weakness in EF in individuals with FASD as well as relations among working memory and EF, which will help to identify specific areas of weakness, to enhance diagnosis, and to improve treatment. There is limited research on the development of EF in individuals with FASD, which can have important implications for understanding of how these deficits unfold from childhood through adulthood.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".