Emotional Regulation, Recognition and Attachment among Individuals with Epilepsy and Psychogenic Non-Epileptic Seizures (PNES)
Bibliographic record
Abstract
Psychogenic Non-Epileptic seizures (PNES) are epilepsy like episodes which have an emotional rather than organic origin. PNES is thought as a result of tension/distress which piles up in individual and shows physical symptoms in form of seizures. Individuals with PNES can neither process, perceive or communicate their emotional problem nor modulate their emotional states in turn developing faulty attachement style. Present study aimed at examining problem in emotion identification, attachment and emotional regulation among epilepsy and PNES patient group. For this purpose 30 participants were selected with well documented PNES (n= 15) and epilepsy (n=15) which were examined with Alexithymia (Toronto Alexithymia Scale), attachment (Relationship Scale questionnaire) and emotional dysregulation (Difficulties in Emotion Regulation Scale) and responses were obtained on three separate administration. Mean scores, standard deviation and ttest was computed. Result shows that there was a significant difference between PNES and epileptic patients group, were PNES patients were more Alexithymic, less emotionally regulated and have faulty attachement style. And professional should consider it during diagnosis and treatment of PNES.
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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 | 0.001 | 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 | 0.001 | 0.002 |
| 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".