Metabolite Changes Resulting From Treatment in Children With ADHD: A 1H-MRS Study
Bibliographic record
Abstract
Previously the authors noted an increase in glutamatergic tone in children with attention deficit hyperactivity disorder compared with age- and gender-matched control subjects. In this study they examine the effect of treatment on metabolite concentrations. Fourteen children with attention deficit hyperactivity disorder were investigated medication free and after treatment, using proton magnetic resonance spectroscopy. In the prefrontal cortex and striatum, metabolite peaks of N-acetyl-aspartate, glutamate/glutamine/gamma-aminobutyric acid, creatine/phosphocreatine, and choline compounds were measured, and ratios of the peaks were calculated and compared before and after treatment. The glutamate/glutamine/gamma-aminobutyric acid-to-creatine/phosphocreatine ratio decreased significantly in the striatum. No other metabolites demonstrated any change in response to medication. These findings suggest that glutamate may be involved in treatment response in attention deficit hyperactivity disorder, especially in the striatum.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".