Methylphenidate‐mediated reduction in prefrontal hemodynamic responses to working memory task: a functional near‐infrared spectroscopy study
Bibliographic record
Abstract
OBJECTIVE: Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical technique for bedside evaluation of cerebral metabolism that has clinical potential for monitoring the efficacy of pharmacological treatment. In this pilot study, we investigated the cognitive effects of methylphenidate (MP) on prefrontal function using fNIRS in healthy subjects. METHODS: Thirteen right-handed healthy subjects underwent working memory tasks (0-back and 2-back) after a single oral dose of MP (20 mg) or placebo administered in a double-blind crossover design on two different days separated by 1-3 days. We measured changes in oxyhemoglobin (oxy-Hb) and deoxyhemoglobin (deoxy-Hb) concentrations during the tasks in bilateral prefrontal regions after MP or placebo administration using two-channel fNIRS. RESULTS: There were significantly more correct responses and fewer missed responses during the 2-back task performance after MP treatment as compared with placebo. Baseline-corrected oxy-Hb was significantly decreased after MP treatment compared with the placebo in the 2-back task in the right frontal region but was not different in the 0-back task. Baseline-corrected deoxy-Hb and total-Hb concentrations were not significant between MP and placebo conditions in either of the cognitive tasks. CONCLUSIONS: These data are consistent with previous positron emission tomography findings of MP-mediated reduction in lateral prefrontal activity accompanied by improved cognitive performance.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.002 | 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".