N-Acetyl-Aspartate in the Dorsolateral Prefrontal Cortex Long After Concussion in Youth
Bibliographic record
Abstract
OBJECTIVE: Despite increasing interest in the neurobiological effects of concussion in youth, a paucity of information is available regarding outcomes long after injury. The objective of this study was to determine the association between a history of concussion and the putative neuronal marker N-acetyl-aspartate (NAA) in the dorsolateral prefrontal cortex (DLPFC) in youth. SETTING: Outpatient clinic in a children's hospital. PARTICIPANTS: Youth with concussion (N = 35, mean = 2.63, SD = 1.07 years postinjury) and youth with a nonconcussive orthopedic injury (N = 17) participated. DESIGN: A cross-sectional proton magnetic resonance spectroscopy (H-MRS) study. MAIN MEASURES: The primary outcome measure was NAA concentration in the right and left DLPFCs. RESULTS: We observed lower levels of NAA in the right DLPFC in youth with past concussion (F = 3.31, df = 4,51, P = .018) than in orthopedic controls but not in the left DLPFC (F = 2.04, df = 4,51, P = .105). The effect of lower NAA concentrations in the right DLPFC was primarily driven by youth with a single prior concussion versus those with multiple concussions. NAA in the left DLPFC, but not in right DLPFC, was associated with worse emotional symptoms in youth with concussion. CONCLUSION: The presence of lower levels of DLPFC NAA suggests potential association of concussion in youth, although further investigation is needed, given that the result is driven by those with a single (and not multiple) concussion. Exploration of applying MRS in other brain regions is also warranted.
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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 | 0.002 | 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 | 0.001 |
| 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".