Effect of phototherapy on event-related potentials in patients with post-stroke depression through serum tetrahydrobiopterin level intervention: a clinical study
Bibliographic record
Abstract
BACKGROUND: This study investigated the effects of phototherapy on serum BH4 levels, evoked potentials, and cognitive impairment in post-stroke depression patients. METHODS: We conducted a prospective study with 160 post-stroke depression patients, randomly assigned to an experimental group receiving daily 40 min of phototherapy alongside routine treatment, and a control group receiving only routine treatment. Serum tetrahydrobiopterin (BH4) levels were measured via ELISA. Evoked potentials were assessed using an ERP recorder, depressive symptoms were evaluated with the Hamilton Depression Scale (HAM-D), and cognitive function was analyzed using the Montreal Cognitive Assessment (MoCA). Inflammatory factor expression was detected via RT-PCR. RESULTS: Both groups exhibited increased BH4 levels, but the phototherapy group had significantly higher levels (P < 0.05). The phototherapy group also demonstrated improved ERP parameters, with higher MMN latency, P300 latency, and amplitudes compared to controls (P < 0.05). HAM-D scores decreased more in the phototherapy group (P < 0.05), while MoCA scores increased significantly (P < 0.05). Additionally, inflammatory markers IL-6, TNF-α, and IL-1β were lower in the phototherapy group (P < 0.05). CONCLUSIONS: Phototherapy positively influenced BH4 levels, improved evoked potentials, alleviated depressive symptoms, enhanced cognitive function, and reduced inflammation in post-stroke depression patients.
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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 | 0.000 | 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 | 0.000 |
| 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".