Motor Cortex Function in APOE4 Carriers and Noncarriers
Bibliographic record
Abstract
PURPOSE: The ε4 allele of the apolipoprotein-E gene has been associated with disease activity including Alzheimer disease, multiple sclerosis, and cardiovascular disease. Individuals who possess the ε4 variant of this gene (ε4 carriers) also demonstrate higher levels of cognitive impairment and lower motor scores compared with noncarriers. The purpose of this study was to establish whether there is a difference in motor cortex function between apoε4 carriers and noncarriers. We hypothesized that carriers would have lower levels of excitability and excitatory transmitter (glutamate) and similar levels of intracortical inhibition and inhibitory neurotransmitter (gamma-aminobutyric acid) than noncarriers. METHODS: Fifty-two participants provided saliva samples to determine apoε4 carrier status. Measures of motor cortex excitability and inhibition were obtained using transcranial magnetic stimulation, and measures of glutamate and gamma-aminobutyric acid concentrations were obtained using proton magnetic resonance spectroscopy. RESULTS: No significant differences in transcranial magnetic stimulation (P ≥ 0.19) or proton magnetic resonance spectroscopy measures (P ≥ 0.90) were found between carriers and noncarriers. CONCLUSIONS: The results from this study suggest that motor cortex function, as assessed by transcranial magnetic stimulation measures of excitability and inhibition, and MRS measures of excitatory and inhibitory neurotransmitter are similar in those who possess an apoε4 allele and those who do not.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".