Brain Waves Reflect Cognition-Emotion State as a Diagnostic Tool for Intervention in Dysfunctional States: A Real-World Evidence
Bibliographic record
Abstract
Objective: This study aims to characterize electrical signals to establish a diagnosis of cognitive-emotional dysfunction and guide a successful therapeutic intervention. Therefore, the present study aimed to observe these frequency bands in a sample of dysfunctional neurological behaviors to establish a neural marker of neural dysfunction that helps diagnose and monitor treatment. Methods: A descriptive retrospective (extracted from the database) observational study design based on real-world historical data from routine clinical practice. According to DSM-5, low academic achievement (n =70), disruptive behavior (externalizing behavior problems) (n=70), and somatic syndrome disorder (n=70) were the subjects. The mean age of the sample was 14.13 (SD = 1.46; range 12-18), 31.5% women. The measuring instrument was the NeXus-10, which is suitable for acquiring a wide range of physiological signals. Brain electrical activity was recorded by using the quantitative electroencephalograph (qEEG) in accordance with the 10-20 International Electrode Placement System. In particular, the specific form of miniQ (mini-qEEG) was used. Results: A pattern record present in all cases were identified. The record refers to (a) activity along the midline, namely, Fz-Cz-Pz, (b) activity from the center (Cz) to back, namely, Pz-O1 and O2, (c) activity from the center (Cz) forward (Fz), and (d) comparison between hemispheres. The characteristics of theta, alpha, and beta waves define the characteristic pattern of neurological dysfunction. The reversal of the dysfunctional pattern coincided with the remission of the clinical symptoms after treatment, which occurred in 87,6% of the subjects. We define remission as not meeting DSM-5 criteria. Conclusion: This study suggests that miniQ register could be considered a simple and objective tool for studying neurological dysfunction. This dysfunction is explained according to current neurological knowledge of interactive cognition-emotion processing. MiniQ may be a cheap and reliable method and a promising tool for the investigation in the field.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".