QEEG Guided Neurofeedback Treatment for Anxiety Symptoms
Why this work is in the frame
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Bibliographic record
Abstract
Anxiety represents one of the most commonly diagnosed mental illnesses among adults in the United States, affecting an estimated 19.1% of the adult population annually, with a lifetime occurrence of 31.1% (NIMH, 2017). This retrospective study intended to assess whether qEEG guided amplitude neurofeedback (NF) is a viable treatment for anxiety symptom reduction. 40 participants were assessed for anxiety using symptom and EEG measures. Demographics include age ranges from 19-62 (M = 37.7, SD =13.87). Gender identification comprised 21 male and 19 female. 15 clients self-identified as White (Non-Latino) (38%), 14 as Latino/Latina (35%), and 11 did not self-report ethnicity (28%). Pre/post-assessments were given to the participants. Symptom assessments included the Zung Self-Rating Anxiety Scale and Achenbach (ASEBA) Adult Self Report (ASR). A qEEG was used to determine protocols for each participant. Participants were scheduled to receive 30-minute NF treatment sessions twice a week for one academic semester. The range of attended sessions was 7-19 (M = 12.72, SD = 2.78). Accurate number of session data was unavailable for 4 of the subjects. Symptom measures showed statistically significant improvement. Limitations include small sample size and no control group or sham NF group. Suggestions are included for future studies.
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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 it