Biofeedback application for somatoform disorders and attention deficit hyperactivity disorder (ADHD) in children
Bibliographic record
Abstract
Biofeedback is a modern computer-related technique used mainly for assessment and therapy of psychophysiological disorders. The influx of about 800 patients per year with stress related disorders is the cause of extensive clinical use of biofeedback in our Department. In this article some results obtained with electrodermal (EDR) and electroencephalography (EEG) biofeedback in the assessment and therapy of children with two most common disorders somatoform and Attention Deficit Hyperactivity Disorder in the period of fifteen years are presented and discussed. The two groups of patients comprised 243 children with somatoform problems (age 10.31 ± 2.75 years) and 50 children with Attention Deficit Hyperactivity Disorder (age 11.11 ± 4.51 years). Before application of individually adapted biofeedback modalities, interviews with parents and children, large scale of psychometric tests, as well as evaluations with Quantitative EEG (Mitzar, Russia) were performed. For EDR biofeedback relax plus and Inner Tunner Professional, Ultramind, UK, while for EEG biofeedback Biograph ProComp, Thought Technology LTD, Canada were applied. For somatoform problems 10 - 15 sessions of EDR biofeedback were sufficient, while for Attention Deficit Hyperactivity Disorder the number of needed sessions was 20 - 40, twice a week. Our experiences with these non-pharmacologic methods in the assessment and therapy of somatoform problems and Attention Deficit Hyperactivity Disorder are quite positive, providing that biofeedback is combined with psychological support and cognitive-behavioral psychotherapy. The results showed that the EDR biofeedback is more effective in the case of somatoform disorders, and the EEG biofeedback (neurofeedback) in the case of Attention Deficit Hyperactivity Disorder. Still, EDR biofeedback appeared to be more preferable method by young children than EEG biofeedback, either as a unique treatment or as a first step preceding the neurofeedback therapy. Key words: Electrodermal biofeedback, EEG-biofeedback, somatofoam disorders, ADHD
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 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".