Multimodal psychodynamic psychotherapy induces normalization of reward related activity in somatoform disorder
Bibliographic record
Abstract
OBJECTIVES: Somatoform disorder patients demonstrate a disturbance in the balance between internal and external information processing, with a decreased focus on external stimulus processing. We investigated brain activity of somatoform disorder patients, during the processing of rewarding external events, paying particular attention to the effects of inpatient multimodal psychodynamic psychotherapy. METHODS: Using fMRI, we applied a reward task that required fast reactions to a target stimulus in order to obtain monetary rewards; a control condition contained responses without the opportunity to gain rewards. Twenty acute somatoform disorder patients were compared with twenty age-matched healthy controls. In addition, 15 patients underwent a second scanning session after participation in multimodal psychodynamic psychotherapy. RESULTS: Acute patients showed diminished hemodynamic differentiation between rewarding and non rewarding events in four regions, including the left postcentral gyrus and the right ventroposterior thalamus. After multimodal psychodynamic psychotherapy, both regions showed a significant normalization of neuronal differentiation. CONCLUSION: Our results suggest that diminished responsiveness of brain regions involved in the processing of external stimuli underlies the disturbed balance of internal and external processing of somatoform disorder patients. By providing new approaches to cope with distressing events, multimodal psychodynamic psychotherapy led to decreased symptoms and normalization of neuronal activity.
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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 | 0.000 | 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) | 0.002 | 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".