Potential Applications of Binaural Stimulation in Patients with Post-Traumatic Stress Disorder
Bibliographic record
Abstract
BACKGROUND: Recent research on the treatment of post-traumatic stress disorder supports the efficacy of non-pharmacological therapies with neuromodulatory, anxiolytic, sedative, and stress-protective effects. Binaural stimulation, which can synchronize the brain’s electrical activity and thereby modulate the patient’s psychological and functional status, appears especially promising. AIM: The work aimed to assess the efficacy of binaural stimulation in improving the psychological and functional status of patients with post-traumatic stress disorders. MATERIALS AND METHODS: A prospective, controlled, randomized comparative study was conducted in 65 patients diagnosed with post-traumatic stress disorder. Participants were divided into two groups using a fixed randomization procedure. Patients in group 1 (control group, n=32) received conventional auditory stimulation through headphones. Patients in group 2 (treatment group, n=33) received binaural stimulation, which involved delivering auditory signals of varying frequencies to the right and left ears. The efficacy of binaural stimulation was assessed by changes in heart rate variability parameters, Clinician-Administered Post-Traumatic Stress Disorder Scale (CAPS) scores, State-Trait Anxiety Inventory scores, and Well-being, Activity, Mood (WAM) questionnaire scores, as well as biochemical and hormonal markers. RESULTS: At baseline, patients with post-traumatic stress disorder had increased activity of stress-response mechanisms, decreased activity of stress-limiting systems, higher levels of reactive anxiety, decreased well-being, activity, and mood scores, and a high severity and incidence of symptoms. Binaural beats activated antistress mechanisms aimed at improving patients’ psychological and functional status, with increased activity of the body’s hormonal and biochemical stress-limiting systems. The findings of correlation adaptometry revealed a decrease in the correlation between the examined parameters, indicating a reduction in the severity of the condition. CONCLUSIONS: Courses of binaural beats therapy were found to be highly effective in improving the psychological and functional status of patients with post-traumatic stress disorder. Correlational adaptometry, which was used as an additional tool for objectifying the findings, confirmed that the group that received courses of binaural beats therapy achieved greater clinical improvement, along with enhanced regulatory capacity for maintaining the adaptive properties of self-regulating functional systems.
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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".